From 46704cf5803f349193e0538a0ce4c41dc5b8a7fe Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Thu, 27 Nov 2025 19:06:27 +0300
Subject: [PATCH 01/11] Add support for multimodal embedding

---
 lib/ruby_llm/embedding.rb                     |   4 +-
 lib/ruby_llm/provider.rb                      |   4 +-
 lib/ruby_llm/providers/vertexai/embeddings.rb |  68 ++++++-
 .../providers/vertex_ai/embeddings_spec.rb    | 178 ++++++++++++++++++
 4 files changed, 247 insertions(+), 7 deletions(-)
 create mode 100644 spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb

diff --git a/lib/ruby_llm/embedding.rb b/lib/ruby_llm/embedding.rb
index 159620f83..3d70193d7 100644
--- a/lib/ruby_llm/embedding.rb
+++ b/lib/ruby_llm/embedding.rb
@@ -12,6 +12,8 @@ def initialize(vectors:, model:, input_tokens: 0)
     end
 
     def self.embed(text, # rubocop:disable Metrics/ParameterLists
+                   image: nil,
+                   video: nil,
                    model: nil,
                    provider: nil,
                    assume_model_exists: false,
@@ -23,7 +25,7 @@ def self.embed(text, # rubocop:disable Metrics/ParameterLists
                                                        config: config)
       model_id = model.id
 
-      provider_instance.embed(text, model: model_id, dimensions:)
+      provider_instance.embed(text, image:, video:, model: model_id, dimensions:)
     end
   end
 end
diff --git a/lib/ruby_llm/provider.rb b/lib/ruby_llm/provider.rb
index 2fdb3ca11..25df62fcb 100644
--- a/lib/ruby_llm/provider.rb
+++ b/lib/ruby_llm/provider.rb
@@ -64,8 +64,8 @@ def list_models
       parse_list_models_response response, slug, capabilities
     end
 
-    def embed(text, model:, dimensions:)
-      payload = render_embedding_payload(text, model:, dimensions:)
+    def embed(text, model:, image:, video:, dimensions:)
+      payload = render_embedding_payload(text, model:, image:, video:, dimensions:)
       response = @connection.post(embedding_url(model:), payload)
       parse_embedding_response(response, model:, text:)
     end
diff --git a/lib/ruby_llm/providers/vertexai/embeddings.rb b/lib/ruby_llm/providers/vertexai/embeddings.rb
index 7dc974546..36cda6503 100644
--- a/lib/ruby_llm/providers/vertexai/embeddings.rb
+++ b/lib/ruby_llm/providers/vertexai/embeddings.rb
@@ -11,21 +11,81 @@ def embedding_url(model:)
           "projects/#{@config.vertexai_project_id}/locations/#{@config.vertexai_location}/publishers/google/models/#{model}:predict" # rubocop:disable Layout/LineLength
         end
 
-        def render_embedding_payload(text, model:, dimensions:) # rubocop:disable Lint/UnusedMethodArgument
+        def render_embedding_payload(text, model:, image: nil, video: nil, dimensions: nil) # rubocop:disable Lint/UnusedMethodArgument
+          # Edited here, changed content to text ****
+          is_multimodal = image.present? || video.present?
+
+          if is_multimodal
+            render_multimodal_payload(text, image: image, video: video, dimensions: dimensions)
+          else
+            {
+              instances: [text].flatten.map { |t| { text: t.to_s } }
+            }.tap do |payload|
+              payload[:parameters] = { outputDimensionality: dimensions } if dimensions
+            end
+          end
+        end
+
+        def render_multimodal_payload(text, image:, video:, dimensions:)
+          instance = {}
+          instance[:text] = text.to_s if text
+          add_image_instance(instance, image: image)
+          add_video_instance(instance, video: video)
+
           {
-            instances: [text].flatten.map { |t| { content: t.to_s } }
+            instances: [instance]
           }.tap do |payload|
             payload[:parameters] = { outputDimensionality: dimensions } if dimensions
           end
         end
 
+        def add_image_instance(instance, image:)
+          return unless image.present?
+
+          require 'base64'
+          image_data = image.respond_to?(:read) ? image.read : image
+          instance[:image] = { bytesBase64Encoded: Base64.strict_encode64(image_data) }
+        end
+
+        def add_video_instance(instance, video:)
+          return unless video.present?
+
+          require 'base64'
+          if video.is_a?(String) && video.start_with?('gs://')
+            # GCS URI
+            instance[:video] = { gcsUri: video }
+          else
+            # Base64 encoded video
+            video_data = video.respond_to?(:read) ? video.read : video
+            instance[:video] = { bytesBase64Encoded: Base64.strict_encode64(video_data) }
+          end
+        end
+
         def parse_embedding_response(response, model:, text:)
           predictions = response.body['predictions']
-          vectors = predictions&.map { |p| p.dig('embeddings', 'values') }
-          vectors = vectors.first if vectors&.length == 1 && !text.is_a?(Array)
 
+          # Edited here to support multi-modal embeddings ****
+
+          if model == 'multimodalembedding'
+            vectors = parse_multimodal_embeddings(predictions)
+          else
+            vectors = predictions&.map { |p| p.dig('embeddings', 'values') }
+            vectors = vectors.first if vectors&.length == 1 && !text.is_a?(Array)
+          end
           Embedding.new(vectors:, model:, input_tokens: 0)
         end
+
+        def parse_multimodal_embeddings(predictions)
+          text_embedding = predictions&.dig(0, 'textEmbedding')
+          image_embedding = predictions&.dig(0, 'imageEmbedding')
+          video_embedding = predictions&.dig(0, 'videoEmbedding')
+
+          vectors = {}
+          vectors[:text] = text_embedding if text_embedding
+          vectors[:image] = image_embedding if image_embedding
+          vectors[:video] = video_embedding if video_embedding
+          vectors
+        end
       end
     end
   end
diff --git a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
new file mode 100644
index 000000000..f3094dd70
--- /dev/null
+++ b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
@@ -0,0 +1,178 @@
+# frozen_string_literal: true
+
+require 'spec_helper'
+
+RSpec.describe RubyLLM::Providers::VertexAI::Embeddings do
+  let(:test_class) do
+    Class.new do
+      include RubyLLM::Providers::VertexAI::Embeddings
+
+      attr_reader :config
+
+      def initialize(config)
+        @config = config
+      end
+    end
+  end
+
+  let(:config) do
+    double( # rubocop:disable RSpec/VerifiedDoubles
+      'config',
+      vertexai_project_id: 'test-project',
+      vertexai_location: 'us-central1'
+    )
+  end
+
+  let(:embeddings) {
+    test_class.new(config)
+  }
+
+  describe '#embedding_url' do
+    it 'constructs the correct URL' do
+      url = embeddings.send(:embedding_url, model: 'multimodalembedding')
+      expect(url).to eq(
+        'projects/test-project/locations/us-central1/publishers/google/models/multimodalembedding:predict'
+      )
+    end
+  end
+
+  describe '#render_embedding_payload' do
+    context 'with text only' do
+      it 'renders single text payload with a text embedding model' do
+        payload = embeddings.send(:render_embedding_payload, 'Hello!', model: 'gemini-embedding-001')
+        expect(payload[:instances]).to eq([{ text: 'Hello!' }])
+      end
+
+      it 'renders single text payload with a multimodal embedding model' do
+        payload = embeddings.send(:render_embedding_payload, 'Hello!', model: 'multimodalembedding')
+        expect(payload[:instances]).to eq([{ text: 'Hello!' }])
+      end
+
+      it 'renders multiple batch text payloads' do
+        payload = embeddings.send(:render_embedding_payload, ['Hello!', 'Hi there!'], model: 'text-embedding-005')
+        expect(payload[:instances]).to eq([{ text: 'Hello!' }, { text: 'Hi there!' }])
+      end
+    end
+
+    context 'with multimodal content payload' do
+      it 'renders payload with multimodal content' do
+        image_data = 'fake_image_data'
+        video_data = 'fake_video_data'
+
+        payload = embeddings.send(
+          :render_embedding_payload,
+          'Test multimodal input',
+          model: 'multimodalembedding',
+          image: image_data,
+          video: video_data
+        )
+        expect(payload[:instances].first[:text]).to eq('Test multimodal input')
+        expect(payload[:instances].first).to have_key(:image)
+        expect(payload[:instances].first).to have_key(:video)
+      end
+
+      it 'renders payload wtih dimensions parameter' do
+        payload = embeddings.send(
+          :render_embedding_payload,
+          'Hello!',
+          model: 'multimodalembedding',
+          dimensions: 512
+        )
+        expect(payload[:parameters]).to eq({ outputDimensionality: 512 })
+      end
+    end
+  end
+
+  describe '#parse_embedding_response' do
+    context 'with text only embeddings' do
+      it 'parses text only embedding response' do
+        embedding_response = instance_double(
+          Faraday::Response, body: {
+            'predictions' => [
+              'embeddings' => {
+                'statistics' => {
+                  'truncated' => false,
+                  'token_count' => 6
+                },
+                'values' => ['...']
+              }
+            ]
+          }
+        )
+        embedding = embeddings.send(
+          :parse_embedding_response,
+          embedding_response,
+          model: 'gemini-embedding-001',
+          text: 'Hello!'
+        )
+        expect(embedding.vectors).to eq(['...'])
+        expect(embedding.model).to eq('gemini-embedding-001')
+      end
+
+      it 'parses batch text embedding response' do
+        embedding_response = instance_double(
+          Faraday::Response, body: {
+            'predictions' => [
+              {
+                'embeddings' => {
+                  'statistics' => {
+                    'token_count' => 8,
+                    'truncated' => false
+                  },
+                  'values' => ['0.1,....']
+                }
+              },
+              {
+                'embeddings' => {
+                  'statistics' => {
+                    'token_count' => 3,
+                    'truncated' => false
+                  },
+                  'values' => ['0.2,....']
+                }
+              }
+            ]
+          }
+        )
+        embedding = embeddings.send(
+          :parse_embedding_response,
+          embedding_response,
+          model: 'text-embedding-004',
+          text: ['Hello!', 'Hi there!']
+        )
+        expect(embedding.vectors).to eq([['0.1,....'], ['0.2,....']])
+        expect(embedding.model).to eq('text-embedding-004')
+      end
+    end
+
+    context 'with multimodal embeddings' do
+      it 'parses multimodal embedding response' do
+        embedding_response = instance_double(
+          Faraday::Response, body: {
+            'predictions' => [
+              {
+                'textEmbedding' => ['0.1,....'],
+                'imageEmbedding' => ['0.2,....'],
+                'videoEmbedding' => ['0.3,....']
+              }
+            ]
+          }
+        )
+        embedding = embeddings.send(
+          :parse_embedding_response,
+          embedding_response,
+          model: 'multimodalembedding',
+          text: 'Multimodal input'
+        )
+        expect(embedding.vectors).to eq(
+          {
+            text: ['0.1,....'],
+            image: ['0.2,....'],
+            video: ['0.3,....']
+          }
+        )
+        expect(embedding.model).to eq('multimodalembedding')
+      end
+    end
+  end
+end

From 1df5fe5cba575f5bd3b167011eb7d74efdae6fa9 Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Tue, 2 Dec 2025 18:25:34 +0300
Subject: [PATCH 02/11] Remove brackets

---
 spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
index f3094dd70..b26204fcb 100644
--- a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
+++ b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
@@ -23,9 +23,9 @@ def initialize(config)
     )
   end
 
-  let(:embeddings) {
+  let(:embeddings) do
     test_class.new(config)
-  }
+  end
 
   describe '#embedding_url' do
     it 'constructs the correct URL' do

From ffe5c2a387e6c1936a30a9f6f5b6603cf835664f Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Fri, 5 Dec 2025 18:14:25 +0300
Subject: [PATCH 03/11] Enable embeddings with and without text

---
 lib/ruby_llm/embedding.rb                     | 31 ++++++++++++++++---
 lib/ruby_llm/provider.rb                      |  8 +++--
 lib/ruby_llm/providers/vertexai/embeddings.rb |  4 +--
 3 files changed, 35 insertions(+), 8 deletions(-)

diff --git a/lib/ruby_llm/embedding.rb b/lib/ruby_llm/embedding.rb
index 3d70193d7..e9a48ee70 100644
--- a/lib/ruby_llm/embedding.rb
+++ b/lib/ruby_llm/embedding.rb
@@ -11,11 +11,11 @@ def initialize(vectors:, model:, input_tokens: 0)
       @input_tokens = input_tokens
     end
 
-    def self.embed(text, # rubocop:disable Metrics/ParameterLists
-                   image: nil,
-                   video: nil,
+    def self.embed(text = nil, # rubocop:disable Metrics/ParameterLists
                    model: nil,
                    provider: nil,
+                   image: nil,
+                   video: nil,
                    assume_model_exists: false,
                    context: nil,
                    dimensions: nil)
@@ -24,8 +24,31 @@ def self.embed(text, # rubocop:disable Metrics/ParameterLists
       model, provider_instance = Models.resolve(model, provider: provider, assume_exists: assume_model_exists,
                                                        config: config)
       model_id = model.id
+      args = set_embedding_params(
+        provider_instance,
+        text: text,
+        model_id: model_id,
+        dimensions: dimensions,
+        image: image,
+        video: video
+      )
+
+      provider_instance.embed(**args)
+    end
 
-      provider_instance.embed(text, image:, video:, model: model_id, dimensions:)
+    def self.set_embedding_params(provider_instance, # rubocop:disable Metrics/ParameterLists
+                                  text: nil,
+                                  model_id: nil,
+                                  dimensions: nil,
+                                  image: nil,
+                                  video: nil)
+      embed_params = provider_instance.method(:embed).parameters.map(&:last)
+      args = { model: model_id }
+      args[:text] = text if text
+      args[:dimensions] = dimensions if dimensions
+      args[:image] = image if image && embed_params.include?(:image)
+      args[:video] = video if video && embed_params.include?(:video)
+      args
     end
   end
 end
diff --git a/lib/ruby_llm/provider.rb b/lib/ruby_llm/provider.rb
index 25df62fcb..96ce86f83 100644
--- a/lib/ruby_llm/provider.rb
+++ b/lib/ruby_llm/provider.rb
@@ -64,8 +64,12 @@ def list_models
       parse_list_models_response response, slug, capabilities
     end
 
-    def embed(text, model:, image:, video:, dimensions:)
-      payload = render_embedding_payload(text, model:, image:, video:, dimensions:)
+    def embed(model:, text: nil, image: nil, video: nil, dimensions: nil)
+      payload = if image || video
+                  render_embedding_payload(text, model:, image:, video:, dimensions:)
+                else
+                  render_embedding_payload(text, model:, dimensions:)
+                end
       response = @connection.post(embedding_url(model:), payload)
       parse_embedding_response(response, model:, text:)
     end
diff --git a/lib/ruby_llm/providers/vertexai/embeddings.rb b/lib/ruby_llm/providers/vertexai/embeddings.rb
index 36cda6503..6270493ee 100644
--- a/lib/ruby_llm/providers/vertexai/embeddings.rb
+++ b/lib/ruby_llm/providers/vertexai/embeddings.rb
@@ -16,7 +16,7 @@ def render_embedding_payload(text, model:, image: nil, video: nil, dimensions: n
           is_multimodal = image.present? || video.present?
 
           if is_multimodal
-            render_multimodal_payload(text, image: image, video: video, dimensions: dimensions)
+            render_multimodal_payload(text:, image:, video:, dimensions:)
           else
             {
               instances: [text].flatten.map { |t| { text: t.to_s } }
@@ -26,7 +26,7 @@ def render_embedding_payload(text, model:, image: nil, video: nil, dimensions: n
           end
         end
 
-        def render_multimodal_payload(text, image:, video:, dimensions:)
+        def render_multimodal_payload(text:, image:, video:, dimensions:)
           instance = {}
           instance[:text] = text.to_s if text
           add_image_instance(instance, image: image)

From 8ce3654f539276c046fbd5730dc598812a9aaa0f Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Fri, 5 Dec 2025 18:16:17 +0300
Subject: [PATCH 04/11] Clean up comments

---
 lib/ruby_llm/providers/vertexai/embeddings.rb | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/lib/ruby_llm/providers/vertexai/embeddings.rb b/lib/ruby_llm/providers/vertexai/embeddings.rb
index 6270493ee..64101c117 100644
--- a/lib/ruby_llm/providers/vertexai/embeddings.rb
+++ b/lib/ruby_llm/providers/vertexai/embeddings.rb
@@ -12,7 +12,6 @@ def embedding_url(model:)
         end
 
         def render_embedding_payload(text, model:, image: nil, video: nil, dimensions: nil) # rubocop:disable Lint/UnusedMethodArgument
-          # Edited here, changed content to text ****
           is_multimodal = image.present? || video.present?
 
           if is_multimodal
@@ -52,10 +51,8 @@ def add_video_instance(instance, video:)
 
           require 'base64'
           if video.is_a?(String) && video.start_with?('gs://')
-            # GCS URI
             instance[:video] = { gcsUri: video }
           else
-            # Base64 encoded video
             video_data = video.respond_to?(:read) ? video.read : video
             instance[:video] = { bytesBase64Encoded: Base64.strict_encode64(video_data) }
           end
@@ -64,8 +61,6 @@ def add_video_instance(instance, video:)
         def parse_embedding_response(response, model:, text:)
           predictions = response.body['predictions']
 
-          # Edited here to support multi-modal embeddings ****
-
           if model == 'multimodalembedding'
             vectors = parse_multimodal_embeddings(predictions)
           else

From da901df3d0547831cf8a7e3b48ec7791e7e7a6b8 Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Wed, 14 Jan 2026 10:36:25 +0300
Subject: [PATCH 05/11] Fix dimensions parameter for VertexAI embeddings


From 9297de7a4eb02ca3224675f542d387813fe5fea2 Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Wed, 14 Jan 2026 11:07:05 +0300
Subject: [PATCH 06/11] Fix dimension argument to allow embedding of any size

---
 lib/ruby_llm/providers/vertexai/embeddings.rb        | 4 ++--
 spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/ruby_llm/providers/vertexai/embeddings.rb b/lib/ruby_llm/providers/vertexai/embeddings.rb
index 64101c117..50c472ed0 100644
--- a/lib/ruby_llm/providers/vertexai/embeddings.rb
+++ b/lib/ruby_llm/providers/vertexai/embeddings.rb
@@ -20,7 +20,7 @@ def render_embedding_payload(text, model:, image: nil, video: nil, dimensions: n
             {
               instances: [text].flatten.map { |t| { text: t.to_s } }
             }.tap do |payload|
-              payload[:parameters] = { outputDimensionality: dimensions } if dimensions
+              payload[:parameters] = { dimension: dimensions } if dimensions
             end
           end
         end
@@ -34,7 +34,7 @@ def render_multimodal_payload(text:, image:, video:, dimensions:)
           {
             instances: [instance]
           }.tap do |payload|
-            payload[:parameters] = { outputDimensionality: dimensions } if dimensions
+            payload[:parameters] = { dimension: dimensions } if dimensions
           end
         end
 
diff --git a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
index b26204fcb..d8f176f7c 100644
--- a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
+++ b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
@@ -78,7 +78,7 @@ def initialize(config)
           model: 'multimodalembedding',
           dimensions: 512
         )
-        expect(payload[:parameters]).to eq({ outputDimensionality: 512 })
+        expect(payload[:parameters]).to eq({ dimension: 512 })
       end
     end
   end

From 979b176d4868c9d24d9184134e2bb20cfbad33a0 Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Tue, 27 Jan 2026 12:00:50 +0300
Subject: [PATCH 07/11] Add the multimodalembedding model by VertexAI

---
 lib/ruby_llm/models.json                      | 1297 ++++++++---------
 .../providers/vertexai/capabilities.rb        |  190 +++
 lib/ruby_llm/providers/vertexai/models.rb     |   16 +-
 3 files changed, 829 insertions(+), 674 deletions(-)
 create mode 100644 lib/ruby_llm/providers/vertexai/capabilities.rb

diff --git a/lib/ruby_llm/models.json b/lib/ruby_llm/models.json
index 2ae165391..b49b1d432 100644
--- a/lib/ruby_llm/models.json
+++ b/lib/ruby_llm/models.json
@@ -4,7 +4,7 @@
     "name": "Claude Haiku 3.5",
     "provider": "anthropic",
     "family": "claude-haiku",
-    "created_at": "2024-10-22 00:00:00 +0200",
+    "created_at": "2024-10-22 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 8192,
     "knowledge_cutoff": "2024-07-31",
@@ -58,7 +58,7 @@
     "name": "Claude Haiku 3.5 (latest)",
     "provider": "anthropic",
     "family": "claude-haiku",
-    "created_at": "2024-10-22 00:00:00 +0200",
+    "created_at": "2024-10-22 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 8192,
     "knowledge_cutoff": "2024-07-31",
@@ -110,7 +110,7 @@
     "name": "Claude Sonnet 3.5",
     "provider": "anthropic",
     "family": "claude-sonnet",
-    "created_at": "2024-06-20 00:00:00 +0200",
+    "created_at": "2024-06-20 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 8192,
     "knowledge_cutoff": "2024-04-30",
@@ -162,7 +162,7 @@
     "name": "Claude Sonnet 3.5 v2",
     "provider": "anthropic",
     "family": "claude-sonnet",
-    "created_at": "2024-10-22 00:00:00 +0200",
+    "created_at": "2024-10-22 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 8192,
     "knowledge_cutoff": "2024-04-30",
@@ -214,7 +214,7 @@
     "name": "Claude Sonnet 3.7",
     "provider": "anthropic",
     "family": "claude-sonnet",
-    "created_at": "2025-02-19 00:00:00 +0100",
+    "created_at": "2025-02-19 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 64000,
     "knowledge_cutoff": "2024-10-31",
@@ -270,7 +270,7 @@
     "name": "Claude Sonnet 3.7 (latest)",
     "provider": "anthropic",
     "family": "claude-sonnet",
-    "created_at": "2025-02-19 00:00:00 +0100",
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     "name": "Gemini 3 Pro Preview",
     "provider": "openrouter",
     "family": "gemini-pro",
-    "created_at": "2025-11-18 00:00:00 +0100",
+    "created_at": "2025-11-18 00:00:00 +0300",
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@@ -22982,7 +22992,7 @@
     "name": "Gemma 2 9B (free)",
     "provider": "openrouter",
     "family": "gemma",
-    "created_at": "2024-06-28 00:00:00 +0200",
+    "created_at": "2024-06-28 00:00:00 +0300",
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@@ -23021,7 +23031,7 @@
     "name": "Gemma 3 12B IT",
     "provider": "openrouter",
     "family": "gemma",
-    "created_at": "2025-03-13 00:00:00 +0100",
+    "created_at": "2025-03-13 00:00:00 +0300",
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@@ -23157,7 +23167,7 @@
     "name": "Gemma 3 27B IT",
     "provider": "openrouter",
     "family": "gemma",
-    "created_at": "2025-03-12 00:00:00 +0100",
+    "created_at": "2025-03-12 00:00:00 +0300",
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@@ -23474,7 +23484,7 @@
     "name": "Gemma 3n E4B IT",
     "provider": "openrouter",
     "family": "gemma",
-    "created_at": "2025-05-20 00:00:00 +0200",
+    "created_at": "2025-05-20 00:00:00 +0300",
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@@ -23554,7 +23564,7 @@
     "name": "Gemma 3n 4B (free)",
     "provider": "openrouter",
     "family": "gemma",
-    "created_at": "2025-05-20 00:00:00 +0200",
+    "created_at": "2025-05-20 00:00:00 +0300",
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@@ -24059,7 +24069,7 @@
     "name": "Kat Coder Pro (free)",
     "provider": "openrouter",
     "family": "kat-coder",
-    "created_at": "2025-11-10 00:00:00 +0100",
+    "created_at": "2025-11-10 00:00:00 +0300",
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@@ -24796,7 +24806,7 @@
     "name": "Llama 3.2 11B Vision Instruct",
     "provider": "openrouter",
     "family": "llama",
-    "created_at": "2024-09-25 00:00:00 +0200",
+    "created_at": "2024-09-25 00:00:00 +0300",
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@@ -25125,7 +25135,7 @@
     "name": "Llama 3.3 70B Instruct (free)",
     "provider": "openrouter",
     "family": "llama",
-    "created_at": "2024-12-06 00:00:00 +0100",
+    "created_at": "2024-12-06 00:00:00 +0300",
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@@ -25340,7 +25350,7 @@
     "name": "Llama 4 Scout (free)",
     "provider": "openrouter",
     "family": "llama",
-    "created_at": "2025-04-05 00:00:00 +0200",
+    "created_at": "2025-04-05 00:00:00 +0300",
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@@ -25569,7 +25579,7 @@
     "name": "MAI DS R1 (free)",
     "provider": "openrouter",
     "family": "mai",
-    "created_at": "2025-04-21 00:00:00 +0200",
+    "created_at": "2025-04-21 00:00:00 +0300",
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@@ -25736,7 +25746,7 @@
     "name": "MiniMax-01",
     "provider": "openrouter",
     "family": "minimax",
-    "created_at": "2025-01-15 00:00:00 +0100",
+    "created_at": "2025-01-15 00:00:00 +0300",
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@@ -25809,7 +25819,7 @@
     "name": "MiniMax M1",
     "provider": "openrouter",
     "family": "minimax",
-    "created_at": "2025-06-17 00:00:00 +0200",
+    "created_at": "2025-06-17 00:00:00 +0300",
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@@ -25889,7 +25899,7 @@
     "name": "MiniMax M2",
     "provider": "openrouter",
     "family": "minimax",
-    "created_at": "2025-10-23 00:00:00 +0200",
+    "created_at": "2025-10-23 00:00:00 +0300",
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@@ -25979,7 +25989,7 @@
     "name": "MiniMax M2.1",
     "provider": "openrouter",
     "family": "minimax",
-    "created_at": "2025-12-23 00:00:00 +0100",
+    "created_at": "2025-12-23 00:00:00 +0300",
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@@ -26070,7 +26080,7 @@
     "name": "Codestral 2508",
     "provider": "openrouter",
     "family": "codestral",
-    "created_at": "2025-08-01 00:00:00 +0200",
+    "created_at": "2025-08-01 00:00:00 +0300",
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@@ -26149,7 +26159,7 @@
     "name": "Devstral 2 2512",
     "provider": "openrouter",
     "family": "devstral",
-    "created_at": "2025-09-12 00:00:00 +0200",
+    "created_at": "2025-09-12 00:00:00 +0300",
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@@ -26230,7 +26240,7 @@
     "name": "Devstral 2 2512 (free)",
     "provider": "openrouter",
     "family": "devstral",
-    "created_at": "2025-09-12 00:00:00 +0200",
+    "created_at": "2025-09-12 00:00:00 +0300",
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@@ -26366,7 +26376,7 @@
     "name": "Devstral Medium",
     "provider": "openrouter",
     "family": "devstral",
-    "created_at": "2025-07-10 00:00:00 +0200",
+    "created_at": "2025-07-10 00:00:00 +0300",
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@@ -26476,7 +26486,7 @@
     "name": "Devstral Small",
     "provider": "openrouter",
     "family": "devstral",
-    "created_at": "2025-05-07 00:00:00 +0200",
+    "created_at": "2025-05-07 00:00:00 +0300",
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@@ -26522,7 +26532,7 @@
     "name": "Devstral Small 2505 (free)",
     "provider": "openrouter",
     "family": "devstral",
-    "created_at": "2025-05-21 00:00:00 +0200",
+    "created_at": "2025-05-21 00:00:00 +0300",
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@@ -26561,7 +26571,7 @@
     "name": "Devstral Small 1.1",
     "provider": "openrouter",
     "family": "devstral",
-    "created_at": "2025-07-10 00:00:00 +0200",
+    "created_at": "2025-07-10 00:00:00 +0300",
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@@ -27183,7 +27193,7 @@
     "name": "Mistral 7B Instruct (free)",
     "provider": "openrouter",
     "family": "mistral",
-    "created_at": "2024-05-27 00:00:00 +0200",
+    "created_at": "2024-05-27 00:00:00 +0300",
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@@ -27480,7 +27490,7 @@
     "name": "Mistral Medium 3",
     "provider": "openrouter",
     "family": "mistral-medium",
-    "created_at": "2025-05-07 00:00:00 +0200",
+    "created_at": "2025-05-07 00:00:00 +0300",
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@@ -27562,7 +27572,7 @@
     "name": "Mistral Medium 3.1",
     "provider": "openrouter",
     "family": "mistral-medium",
-    "created_at": "2025-08-12 00:00:00 +0200",
+    "created_at": "2025-08-12 00:00:00 +0300",
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@@ -27710,7 +27720,7 @@
     "name": "Mistral Nemo (free)",
     "provider": "openrouter",
     "family": "mistral-nemo",
-    "created_at": "2024-07-19 00:00:00 +0200",
+    "created_at": "2024-07-19 00:00:00 +0300",
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@@ -27882,7 +27892,7 @@
     "name": "Mistral Small 3.1 24B Instruct",
     "provider": "openrouter",
     "family": "mistral-small",
-    "created_at": "2025-03-17 00:00:00 +0100",
+    "created_at": "2025-03-17 00:00:00 +0300",
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@@ -28025,7 +28035,7 @@
     "name": "Mistral Small 3.2 24B Instruct",
     "provider": "openrouter",
     "family": "mistral-small",
-    "created_at": "2025-06-20 00:00:00 +0200",
+    "created_at": "2025-06-20 00:00:00 +0300",
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@@ -28112,7 +28122,7 @@
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     "provider": "openrouter",
     "family": "mistral-small",
-    "created_at": "2025-06-20 00:00:00 +0200",
+    "created_at": "2025-06-20 00:00:00 +0300",
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@@ -28666,7 +28676,7 @@
     "name": "Kimi Dev 72b (free)",
     "provider": "openrouter",
     "family": "kimi",
-    "created_at": "2025-06-16 00:00:00 +0200",
+    "created_at": "2025-06-16 00:00:00 +0300",
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@@ -28705,7 +28715,7 @@
     "name": "Kimi K2",
     "provider": "openrouter",
     "family": "kimi",
-    "created_at": "2025-07-11 00:00:00 +0200",
+    "created_at": "2025-07-11 00:00:00 +0300",
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@@ -28789,7 +28799,7 @@
     "name": "Kimi K2 Instruct 0905",
     "provider": "openrouter",
     "family": "kimi",
-    "created_at": "2025-09-05 00:00:00 +0200",
+    "created_at": "2025-09-05 00:00:00 +0300",
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@@ -28875,7 +28885,7 @@
     "name": "Kimi K2 Instruct 0905 (exacto)",
     "provider": "openrouter",
     "family": "kimi",
-    "created_at": "2025-09-05 00:00:00 +0200",
+    "created_at": "2025-09-05 00:00:00 +0300",
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@@ -28954,7 +28964,7 @@
     "name": "Kimi K2 Thinking",
     "provider": "openrouter",
     "family": "kimi-thinking",
-    "created_at": "2025-11-06 00:00:00 +0100",
+    "created_at": "2025-11-06 00:00:00 +0300",
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@@ -29048,7 +29058,7 @@
     "name": "Kimi K2 (free)",
     "provider": "openrouter",
     "family": "kimi",
-    "created_at": "2025-07-11 00:00:00 +0200",
+    "created_at": "2025-07-11 00:00:00 +0300",
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@@ -29410,7 +29420,7 @@
     "name": "DeepHermes 3 Llama 3 8B Preview",
     "provider": "openrouter",
     "family": "llama",
-    "created_at": "2025-02-28 00:00:00 +0100",
+    "created_at": "2025-02-28 00:00:00 +0300",
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@@ -29759,7 +29769,7 @@
     "name": "Hermes 4 405B",
     "provider": "openrouter",
     "family": "hermes",
-    "created_at": "2025-08-25 00:00:00 +0200",
+    "created_at": "2025-08-25 00:00:00 +0300",
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@@ -29838,7 +29848,7 @@
     "name": "Hermes 4 70B",
     "provider": "openrouter",
     "family": "hermes",
-    "created_at": "2025-08-25 00:00:00 +0200",
+    "created_at": "2025-08-25 00:00:00 +0300",
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@@ -30367,7 +30377,7 @@
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     "provider": "openrouter",
     "family": "nemotron",
-    "created_at": "2025-08-18 00:00:00 +0200",
+    "created_at": "2025-08-18 00:00:00 +0300",
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@@ -31177,7 +31187,7 @@
     "name": "GPT-4.1",
     "provider": "openrouter",
     "family": "gpt",
-    "created_at": "2025-04-14 00:00:00 +0200",
+    "created_at": "2025-04-14 00:00:00 +0300",
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@@ -31259,7 +31269,7 @@
     "name": "GPT-4.1 Mini",
     "provider": "openrouter",
     "family": "gpt-mini",
-    "created_at": "2025-04-14 00:00:00 +0200",
+    "created_at": "2025-04-14 00:00:00 +0300",
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@@ -31767,7 +31777,7 @@
     "name": "GPT-4o-mini",
     "provider": "openrouter",
     "family": "gpt-mini",
-    "created_at": "2024-07-18 00:00:00 +0200",
+    "created_at": "2024-07-18 00:00:00 +0300",
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@@ -32113,7 +32123,7 @@
     "name": "GPT-5",
     "provider": "openrouter",
     "family": "gpt",
-    "created_at": "2025-08-07 00:00:00 +0200",
+    "created_at": "2025-08-07 00:00:00 +0300",
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     "knowledge_cutoff": "2024-10-01",
@@ -32194,7 +32204,7 @@
     "name": "GPT-5 Chat (latest)",
     "provider": "openrouter",
     "family": "gpt-codex",
-    "created_at": "2025-08-07 00:00:00 +0200",
+    "created_at": "2025-08-07 00:00:00 +0300",
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@@ -32270,7 +32280,7 @@
     "name": "GPT-5 Codex",
     "provider": "openrouter",
     "family": "gpt-codex",
-    "created_at": "2025-09-15 00:00:00 +0200",
+    "created_at": "2025-09-15 00:00:00 +0300",
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     "knowledge_cutoff": "2024-10-01",
@@ -32352,7 +32362,7 @@
     "name": "GPT-5 Image",
     "provider": "openrouter",
     "family": "gpt",
-    "created_at": "2025-10-14 00:00:00 +0200",
+    "created_at": "2025-10-14 00:00:00 +0300",
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     "knowledge_cutoff": "2024-10-01",
@@ -32522,7 +32532,7 @@
     "name": "GPT-5 Mini",
     "provider": "openrouter",
     "family": "gpt-mini",
-    "created_at": "2025-08-07 00:00:00 +0200",
+    "created_at": "2025-08-07 00:00:00 +0300",
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@@ -32603,7 +32613,7 @@
     "name": "GPT-5 Nano",
     "provider": "openrouter",
     "family": "gpt-nano",
-    "created_at": "2025-08-07 00:00:00 +0200",
+    "created_at": "2025-08-07 00:00:00 +0300",
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@@ -32684,7 +32694,7 @@
     "name": "GPT-5 Pro",
     "provider": "openrouter",
     "family": "gpt-pro",
-    "created_at": "2025-10-06 00:00:00 +0200",
+    "created_at": "2025-10-06 00:00:00 +0300",
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@@ -32765,7 +32775,7 @@
     "name": "GPT-5.1",
     "provider": "openrouter",
     "family": "gpt",
-    "created_at": "2025-11-13 00:00:00 +0100",
+    "created_at": "2025-11-13 00:00:00 +0300",
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@@ -32848,7 +32858,7 @@
     "name": "GPT-5.1 Chat",
     "provider": "openrouter",
     "family": "gpt-codex",
-    "created_at": "2025-11-13 00:00:00 +0100",
+    "created_at": "2025-11-13 00:00:00 +0300",
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@@ -32929,7 +32939,7 @@
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     "provider": "openrouter",
     "family": "gpt-codex",
-    "created_at": "2025-11-13 00:00:00 +0100",
+    "created_at": "2025-11-13 00:00:00 +0300",
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     "knowledge_cutoff": "2024-09-30",
@@ -33008,13 +33018,13 @@
   },
   {
     "id": "openai/gpt-5.1-codex-max",
-    "name": "OpenAI: GPT-5.1-Codex-Max",
+    "name": "GPT-5.1-Codex-Max",
     "provider": "openrouter",
-    "family": "openai",
-    "created_at": "2025-12-04 21:08:54 +0100",
+    "family": "gpt-codex",
+    "created_at": "2025-11-13 00:00:00 +0300",
     "context_window": 400000,
     "max_output_tokens": 128000,
-    "knowledge_cutoff": null,
+    "knowledge_cutoff": "2024-09-30",
     "modalities": {
       "input": [
         "text",
@@ -33025,16 +33035,18 @@
       ]
     },
     "capabilities": [
-      "streaming",
       "function_calling",
-      "structured_output"
+      "structured_output",
+      "reasoning",
+      "vision",
+      "streaming"
     ],
     "pricing": {
       "text_tokens": {
         "standard": {
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-          "output_per_million": 10.0,
-          "cached_input_per_million": 0.125
+          "input_per_million": 1.1,
+          "output_per_million": 9,
+          "cached_input_per_million": 0.11
         }
       }
     },
@@ -33067,7 +33079,23 @@
         "structured_outputs",
         "tool_choice",
         "tools"
-      ]
+      ],
+      "source": "models.dev",
+      "provider_id": "openrouter",
+      "open_weights": false,
+      "attachment": true,
+      "temperature": true,
+      "last_updated": "2025-11-13",
+      "cost": {
+        "input": 1.1,
+        "output": 9,
+        "cache_read": 0.11
+      },
+      "limit": {
+        "context": 400000,
+        "output": 128000
+      },
+      "knowledge": "2024-09-30"
     }
   },
   {
@@ -33075,7 +33103,7 @@
     "name": "GPT-5.1-Codex-Mini",
     "provider": "openrouter",
     "family": "gpt-codex",
-    "created_at": "2025-11-13 00:00:00 +0100",
+    "created_at": "2025-11-13 00:00:00 +0300",
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     "knowledge_cutoff": "2024-09-30",
@@ -33157,7 +33185,7 @@
     "name": "GPT-5.2",
     "provider": "openrouter",
     "family": "gpt",
-    "created_at": "2025-12-11 00:00:00 +0100",
+    "created_at": "2025-12-11 00:00:00 +0300",
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     "knowledge_cutoff": "2025-08-31",
@@ -33304,7 +33332,7 @@
     "name": "GPT-5.2 Chat",
     "provider": "openrouter",
     "family": "gpt-codex",
-    "created_at": "2025-12-11 00:00:00 +0100",
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@@ -33356,7 +33384,7 @@
     "name": "GPT-5.2-Codex",
     "provider": "openrouter",
     "family": "gpt-codex",
-    "created_at": "2026-01-14 00:00:00 +0100",
+    "created_at": "2026-01-14 00:00:00 +0300",
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@@ -33444,7 +33472,7 @@
     "name": "GPT-5.2 Pro",
     "provider": "openrouter",
     "family": "gpt-pro",
-    "created_at": "2025-12-11 00:00:00 +0100",
+    "created_at": "2025-12-11 00:00:00 +0300",
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@@ -33525,7 +33553,7 @@
     "name": "GPT OSS 120B",
     "provider": "openrouter",
     "family": "gpt-oss",
-    "created_at": "2025-08-05 00:00:00 +0200",
+    "created_at": "2025-08-05 00:00:00 +0300",
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@@ -33614,7 +33642,7 @@
     "name": "GPT OSS 120B (exacto)",
     "provider": "openrouter",
     "family": "gpt-oss",
-    "created_at": "2025-08-05 00:00:00 +0200",
+    "created_at": "2025-08-05 00:00:00 +0300",
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@@ -33751,7 +33779,7 @@
     "name": "GPT OSS 20B",
     "provider": "openrouter",
     "family": "gpt-oss",
-    "created_at": "2025-08-05 00:00:00 +0200",
+    "created_at": "2025-08-05 00:00:00 +0300",
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@@ -33891,7 +33919,7 @@
     "name": "GPT OSS Safeguard 20B",
     "provider": "openrouter",
     "family": "gpt-oss",
-    "created_at": "2025-10-29 00:00:00 +0100",
+    "created_at": "2025-10-29 00:00:00 +0300",
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@@ -34424,7 +34452,7 @@
     "name": "o4 Mini",
     "provider": "openrouter",
     "family": "o-mini",
-    "created_at": "2025-04-16 00:00:00 +0200",
+    "created_at": "2025-04-16 00:00:00 +0300",
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@@ -34798,7 +34826,7 @@
     "name": "Sherlock Dash Alpha",
     "provider": "openrouter",
     "family": "sherlock",
-    "created_at": "2025-11-15 00:00:00 +0100",
+    "created_at": "2025-11-15 00:00:00 +0300",
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@@ -34839,7 +34867,7 @@
     "name": "Sherlock Think Alpha",
     "provider": "openrouter",
     "family": "sherlock",
-    "created_at": "2025-11-15 00:00:00 +0100",
+    "created_at": "2025-11-15 00:00:00 +0300",
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@@ -35392,7 +35420,7 @@
     "name": "Qwen2.5 Coder 32B Instruct",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2024-11-11 00:00:00 +0100",
+    "created_at": "2024-11-11 00:00:00 +0300",
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@@ -36155,7 +36183,7 @@
     "name": "Qwen2.5 VL 32B Instruct (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-03-24 00:00:00 +0100",
+    "created_at": "2025-03-24 00:00:00 +0300",
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@@ -36197,7 +36225,7 @@
     "name": "Qwen2.5 VL 72B Instruct",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-02-01 00:00:00 +0100",
+    "created_at": "2025-02-01 00:00:00 +0300",
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@@ -36281,7 +36309,7 @@
     "name": "Qwen2.5 VL 72B Instruct (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-02-01 00:00:00 +0100",
+    "created_at": "2025-02-01 00:00:00 +0300",
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@@ -36391,7 +36419,7 @@
     "name": "Qwen3 14B (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-04-28 00:00:00 +0200",
+    "created_at": "2025-04-28 00:00:00 +0300",
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@@ -36504,7 +36532,7 @@
     "name": "Qwen3 235B A22B Instruct 2507",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-04-28 00:00:00 +0200",
+    "created_at": "2025-04-28 00:00:00 +0300",
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@@ -36550,7 +36578,7 @@
     "name": "Qwen3 235B A22B Instruct 2507 (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-04-28 00:00:00 +0200",
+    "created_at": "2025-04-28 00:00:00 +0300",
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@@ -36663,7 +36691,7 @@
     "name": "Qwen3 235B A22B Thinking 2507",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-25 00:00:00 +0200",
+    "created_at": "2025-07-25 00:00:00 +0300",
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@@ -36750,7 +36778,7 @@
     "name": "Qwen3 235B A22B (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-04-28 00:00:00 +0200",
+    "created_at": "2025-04-28 00:00:00 +0300",
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@@ -36863,7 +36891,7 @@
     "name": "Qwen3 30B A3B Instruct 2507",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-29 00:00:00 +0200",
+    "created_at": "2025-07-29 00:00:00 +0300",
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@@ -36944,7 +36972,7 @@
     "name": "Qwen3 30B A3B Thinking 2507",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-29 00:00:00 +0200",
+    "created_at": "2025-07-29 00:00:00 +0300",
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@@ -37027,7 +37055,7 @@
     "name": "Qwen3 30B A3B (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-04-28 00:00:00 +0200",
+    "created_at": "2025-04-28 00:00:00 +0300",
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@@ -37138,7 +37166,7 @@
     "name": "Qwen3 32B (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-04-28 00:00:00 +0200",
+    "created_at": "2025-04-28 00:00:00 +0300",
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@@ -37308,7 +37336,7 @@
     "name": "Qwen3 8B (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-04-28 00:00:00 +0200",
+    "created_at": "2025-04-28 00:00:00 +0300",
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@@ -37348,7 +37376,7 @@
     "name": "Qwen3 Coder",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-23 00:00:00 +0200",
+    "created_at": "2025-07-23 00:00:00 +0300",
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@@ -37435,7 +37463,7 @@
     "name": "Qwen3 Coder 30B A3B Instruct",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-31 00:00:00 +0200",
+    "created_at": "2025-07-31 00:00:00 +0300",
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@@ -37516,7 +37544,7 @@
     "name": "Qwen3 Coder Flash",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-23 00:00:00 +0200",
+    "created_at": "2025-07-23 00:00:00 +0300",
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@@ -37655,7 +37683,7 @@
     "name": "Qwen3 Coder (exacto)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-23 00:00:00 +0200",
+    "created_at": "2025-07-23 00:00:00 +0300",
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@@ -37737,7 +37765,7 @@
     "name": "Qwen3 Coder 480B A35B Instruct (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-07-23 00:00:00 +0200",
+    "created_at": "2025-07-23 00:00:00 +0300",
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@@ -37807,7 +37835,7 @@
     "name": "Qwen3 Max",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-09-05 00:00:00 +0200",
+    "created_at": "2025-09-05 00:00:00 +0300",
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@@ -37883,7 +37911,7 @@
     "name": "Qwen3 Next 80B A3B Instruct",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-09-11 00:00:00 +0200",
+    "created_at": "2025-09-11 00:00:00 +0300",
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@@ -38024,7 +38052,7 @@
     "name": "Qwen3 Next 80B A3B Thinking",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-09-11 00:00:00 +0200",
+    "created_at": "2025-09-11 00:00:00 +0300",
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@@ -38672,7 +38700,7 @@
     "name": "QwQ 32B (free)",
     "provider": "openrouter",
     "family": "qwen",
-    "created_at": "2025-03-05 00:00:00 +0100",
+    "created_at": "2025-03-05 00:00:00 +0300",
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@@ -38775,7 +38803,7 @@
     "name": "Reka Flash 3",
     "provider": "openrouter",
     "family": "reka",
-    "created_at": "2025-03-12 00:00:00 +0100",
+    "created_at": "2025-03-12 00:00:00 +0300",
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@@ -39249,7 +39277,7 @@
     "name": "Sarvam-M (free)",
     "provider": "openrouter",
     "family": "sarvam",
-    "created_at": "2025-05-25 00:00:00 +0200",
+    "created_at": "2025-05-25 00:00:00 +0300",
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@@ -39732,7 +39760,7 @@
     "name": "GLM Z1 32B (free)",
     "provider": "openrouter",
     "family": "glm-z",
-    "created_at": "2025-04-17 00:00:00 +0200",
+    "created_at": "2025-04-17 00:00:00 +0300",
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@@ -39960,7 +39988,7 @@
     "name": "DeepSeek R1T2 Chimera (free)",
     "provider": "openrouter",
     "family": "deepseek-thinking",
-    "created_at": "2025-07-08 00:00:00 +0200",
+    "created_at": "2025-07-08 00:00:00 +0300",
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@@ -40229,7 +40257,7 @@
     "name": "Grok 3",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-02-17 00:00:00 +0100",
+    "created_at": "2025-02-17 00:00:00 +0300",
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@@ -40313,7 +40341,7 @@
     "name": "Grok 3 Beta",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-02-17 00:00:00 +0100",
+    "created_at": "2025-02-17 00:00:00 +0300",
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     "knowledge_cutoff": null,
@@ -40396,7 +40424,7 @@
     "name": "Grok 3 Mini",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-02-17 00:00:00 +0100",
+    "created_at": "2025-02-17 00:00:00 +0300",
     "context_window": 131072,
     "max_output_tokens": 8192,
     "knowledge_cutoff": null,
@@ -40481,7 +40509,7 @@
     "name": "Grok 3 Mini Beta",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-02-17 00:00:00 +0100",
+    "created_at": "2025-02-17 00:00:00 +0300",
     "context_window": 131072,
     "max_output_tokens": 8192,
     "knowledge_cutoff": null,
@@ -40565,7 +40593,7 @@
     "name": "Grok 4",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-07-09 00:00:00 +0200",
+    "created_at": "2025-07-09 00:00:00 +0300",
     "context_window": 256000,
     "max_output_tokens": 64000,
     "knowledge_cutoff": null,
@@ -40650,7 +40678,7 @@
     "name": "Grok 4 Fast",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-08-19 00:00:00 +0200",
+    "created_at": "2025-08-19 00:00:00 +0300",
     "context_window": 2000000,
     "max_output_tokens": 30000,
     "knowledge_cutoff": null,
@@ -40737,7 +40765,7 @@
     "name": "Grok 4.1 Fast",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-11-19 00:00:00 +0100",
+    "created_at": "2025-11-19 00:00:00 +0300",
     "context_window": 2000000,
     "max_output_tokens": 30000,
     "knowledge_cutoff": null,
@@ -40824,7 +40852,7 @@
     "name": "Grok Code Fast 1",
     "provider": "openrouter",
     "family": "grok",
-    "created_at": "2025-08-26 00:00:00 +0200",
+    "created_at": "2025-08-26 00:00:00 +0300",
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@@ -41091,7 +41119,7 @@
     "name": "GLM 4.5",
     "provider": "openrouter",
     "family": "glm",
-    "created_at": "2025-07-28 00:00:00 +0200",
+    "created_at": "2025-07-28 00:00:00 +0300",
     "context_window": 128000,
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     "knowledge_cutoff": null,
@@ -41175,7 +41203,7 @@
     "name": "GLM 4.5 Air",
     "provider": "openrouter",
     "family": "glm-air",
-    "created_at": "2025-07-28 00:00:00 +0200",
+    "created_at": "2025-07-28 00:00:00 +0300",
     "context_window": 128000,
     "max_output_tokens": 96000,
     "knowledge_cutoff": null,
@@ -41259,7 +41287,7 @@
     "name": "GLM 4.5 Air (free)",
     "provider": "openrouter",
     "family": "glm-air",
-    "created_at": "2025-07-28 00:00:00 +0200",
+    "created_at": "2025-07-28 00:00:00 +0300",
     "context_window": 128000,
     "max_output_tokens": 96000,
     "knowledge_cutoff": null,
@@ -41327,7 +41355,7 @@
     "name": "GLM 4.5V",
     "provider": "openrouter",
     "family": "glm",
-    "created_at": "2025-08-11 00:00:00 +0200",
+    "created_at": "2025-08-11 00:00:00 +0300",
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     "knowledge_cutoff": null,
@@ -41415,7 +41443,7 @@
     "name": "GLM 4.6",
     "provider": "openrouter",
     "family": "glm",
-    "created_at": "2025-09-30 00:00:00 +0200",
+    "created_at": "2025-09-30 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 128000,
     "knowledge_cutoff": null,
@@ -41507,7 +41535,7 @@
     "name": "GLM 4.6 (exacto)",
     "provider": "openrouter",
     "family": "glm",
-    "created_at": "2025-09-30 00:00:00 +0200",
+    "created_at": "2025-09-30 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 128000,
     "knowledge_cutoff": null,
@@ -41668,7 +41696,7 @@
     "name": "GLM-4.7",
     "provider": "openrouter",
     "family": "glm",
-    "created_at": "2025-12-22 00:00:00 +0100",
+    "created_at": "2025-12-22 00:00:00 +0300",
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@@ -41763,7 +41791,7 @@
     "name": "Sonar",
     "provider": "perplexity",
     "family": "sonar",
-    "created_at": "2024-01-01 00:00:00 +0100",
+    "created_at": "2024-01-01 00:00:00 +0300",
     "context_window": 128000,
     "max_output_tokens": 4096,
     "knowledge_cutoff": "2025-09-01",
@@ -41846,7 +41874,7 @@
     "name": "Sonar Pro",
     "provider": "perplexity",
     "family": "sonar-pro",
-    "created_at": "2024-01-01 00:00:00 +0100",
+    "created_at": "2024-01-01 00:00:00 +0300",
     "context_window": 200000,
     "max_output_tokens": 8192,
     "knowledge_cutoff": "2025-09-01",
@@ -41927,7 +41955,7 @@
     "name": "Sonar Reasoning Pro",
     "provider": "perplexity",
     "family": "sonar-reasoning",
-    "created_at": "2024-01-01 00:00:00 +0100",
+    "created_at": "2024-01-01 00:00:00 +0300",
     "context_window": 128000,
     "max_output_tokens": 4096,
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@@ -41977,7 +42005,7 @@
     "name": "Gemini 1.5 Flash",
     "provider": "vertexai",
     "family": "gemini-flash",
-    "created_at": "2024-05-14 00:00:00 +0200",
+    "created_at": "2024-05-14 00:00:00 +0300",
     "context_window": 1000000,
     "max_output_tokens": 8192,
     "knowledge_cutoff": null,
@@ -42044,55 +42072,7 @@
     ],
     "pricing": {},
     "metadata": {
-      "version_id": "default",
-      "open_source_category": "PROPRIETARY",
-      "launch_stage": "GA",
-      "supported_actions": {
-        "openNotebook": {
-          "references": {
-            "global": {
-              "uri": "https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/getting-started/intro_gemini_1_5_flash.ipynb"
-            }
-          },
-          "title": "Open Notebook"
-        },
-        "openGenerationAiStudio": {
-          "references": {
-            "global": {
-              "uri": "https://console.cloud.google.com/vertex-ai/studio/freeform?model=gemini-1.5-flash-002"
-            }
-          }
-        },
-        "openEvaluationPipeline": {
-          "references": {
-            "global": {
-              "uri": "https://console.cloud.google.com/vertex-ai/pipelines/vertex-ai-templates/autosxs-template"
-            }
-          },
-          "title": "Evaluate"
-        },
-        "openNotebooks": {
-          "notebooks": [
-            {
-              "references": {
-                "global": {
-                  "uri": "https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/getting-started/intro_gemini_1_5_flash.ipynb"
-                }
-              },
-              "title": "Open Notebook"
-            },
-            {
-              "references": {
-                "global": {
-                  "uri": "https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/getting-started/intro_gemini_1_5_flash.ipynb"
-                }
-              },
-              "title": "Open Notebook"
-            }
-          ]
-        }
-      },
-      "publisher_model_template": "projects/{project}/locations/{location}/publishers/google/models/gemini-1.5-flash-002@default"
+      "source": "known_models"
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   },
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@@ -42100,7 +42080,7 @@
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-    "created_at": "2024-10-03 00:00:00 +0200",
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@@ -42153,7 +42133,7 @@
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@@ -42220,72 +42200,7 @@
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-            }
-          ]
-        }
-      },
-      "publisher_model_template": "projects/{project}/locations/{location}/publishers/google/models/gemini-1.5-pro-002@default"
+      "source": "known_models"
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@@ -42293,7 +42208,7 @@
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     "provider": "vertexai",
     "family": "gemini-flash",
-    "created_at": "2024-12-11 00:00:00 +0100",
+    "created_at": "2024-12-11 00:00:00 +0300",
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@@ -42317,8 +42232,8 @@
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-          "output_per_million": 0.4,
+          "input_per_million": 0.15,
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@@ -42331,8 +42246,8 @@
       "temperature": true,
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-        "output": 0.4,
+        "input": 0.15,
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@@ -42361,43 +42276,7 @@
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+      "source": "known_models"
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@@ -42427,7 +42306,7 @@
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-    "created_at": "2024-12-11 00:00:00 +0100",
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@@ -42492,37 +42371,7 @@
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-      "supported_actions": null,
-      "publisher_model_template": "projects/{project}/locations/{location}/publishers/google/models/gemini-2.0-flash-preview-image-generation@default"
+      "source": "known_models"
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@@ -42530,7 +42379,7 @@
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     "provider": "vertexai",
     "family": "gemini-flash",
-    "created_at": "2025-06-17 00:00:00 +0200",
+    "created_at": "2025-06-17 00:00:00 +0300",
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@@ -42562,11 +42411,6 @@
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@@ -42591,7 +42435,7 @@
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     "provider": "vertexai",
     "family": "gemini-flash-lite",
-    "created_at": "2025-06-17 00:00:00 +0200",
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@@ -42623,11 +42467,6 @@
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@@ -42651,7 +42490,7 @@
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     "provider": "vertexai",
     "family": "gemini-flash-lite",
-    "created_at": "2025-06-17 00:00:00 +0200",
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@@ -42705,7 +42544,7 @@
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     "family": "gemini-flash-lite",
-    "created_at": "2025-09-25 00:00:00 +0200",
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@@ -42759,7 +42598,7 @@
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-    "created_at": "2025-04-17 00:00:00 +0200",
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@@ -42778,8 +42617,7 @@
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       "reasoning",
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-      "streaming"
+      "vision"
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@@ -42791,19 +42629,6 @@
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@@ -42827,7 +42652,7 @@
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     "provider": "vertexai",
     "family": "gemini-flash",
-    "created_at": "2025-05-20 00:00:00 +0200",
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@@ -42881,7 +42706,7 @@
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     "family": "gemini-flash",
-    "created_at": "2025-09-25 00:00:00 +0200",
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@@ -42936,7 +42761,7 @@
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     "family": "gemini-pro",
-    "created_at": "2025-03-20 00:00:00 +0100",
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@@ -42968,11 +42793,6 @@
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@@ -42991,70 +42811,12 @@
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     "provider": "vertexai",
     "family": "gemini-pro",
-    "created_at": "2025-05-06 00:00:00 +0200",
+    "created_at": "2025-05-06 00:00:00 +0300",
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@@ -43108,7 +42870,7 @@
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     "provider": "vertexai",
     "family": "gemini-pro",
-    "created_at": "2025-06-05 00:00:00 +0200",
+    "created_at": "2025-06-05 00:00:00 +0300",
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@@ -43162,7 +42924,7 @@
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     "provider": "vertexai",
     "family": "gemini-flash",
-    "created_at": "2025-12-17 00:00:00 +0100",
+    "created_at": "2025-12-17 00:00:00 +0300",
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@@ -43222,7 +42984,7 @@
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     "provider": "vertexai",
     "family": "gemini-pro",
-    "created_at": "2025-11-18 00:00:00 +0100",
+    "created_at": "2025-11-18 00:00:00 +0300",
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@@ -43282,7 +43044,7 @@
     "name": "Gemini Embedding 001",
     "provider": "vertexai",
     "family": "gemini",
-    "created_at": "2025-05-20 00:00:00 +0200",
+    "created_at": "2025-05-20 00:00:00 +0300",
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@@ -43372,7 +43134,7 @@
     "name": "Gemini Flash Latest",
     "provider": "vertexai",
     "family": "gemini-flash",
-    "created_at": "2025-09-25 00:00:00 +0200",
+    "created_at": "2025-09-25 00:00:00 +0300",
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@@ -43427,7 +43189,7 @@
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     "provider": "vertexai",
     "family": "gemini-flash-lite",
-    "created_at": "2025-09-25 00:00:00 +0200",
+    "created_at": "2025-09-25 00:00:00 +0300",
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     "max_output_tokens": 65536,
     "knowledge_cutoff": null,
@@ -43520,12 +43282,168 @@
       "source": "known_models"
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+  {
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+    "name": "multimodalembedding",
+    "provider": "vertexai",
+    "family": "multimodalembedding",
+    "created_at": null,
+    "context_window": 32,
+    "max_output_tokens": 1048,
+    "knowledge_cutoff": null,
+    "modalities": {
+      "input": [
+        "text",
+        "image",
+        "video"
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+      "output": [
+        "embeddings"
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+    "capabilities": [
+      "vision"
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+      "images": {
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+    },
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+      "source": "known_models",
+      "model_type": "embedding",
+      "modality_limits": {
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+          "description": "Text input limited to 32 tokens"
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+        "image": {
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+          "max_size_mb": 20,
+          "formats": [
+            "bmp",
+            "gif",
+            "jpeg",
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+        },
+        "video": {
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+          "formats": [
+            "avi",
+            "flv",
+            "mkv",
+            "mov",
+            "mp4",
+            "mpeg",
+            "mpg",
+            "webm",
+            "wmv"
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+      "allowed_dimensions": {
+        "text": {
+          "default": 1408,
+          "options": [
+            128,
+            256,
+            512,
+            1408
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+        },
+        "image": {
+          "default": 1408,
+          "options": [
+            128,
+            256,
+            512,
+            1408
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+        "video": {
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+          "options": [
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+          "description": "Only 1408-dimensional embeddings supported for video"
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+        "image": [
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+          "jpeg",
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+          "flv",
+          "mkv",
+          "mov",
+          "mp4",
+          "mpeg",
+          "mpg",
+          "webm",
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+          "per_million_characters": 0.2,
+          "description": "Text embedding pricing"
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+        "image": {
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+          "per_1000_images": 0.1,
+          "per_million_images": 100.0,
+          "description": "Image embedding pricing"
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+        "video": {
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+            "per_1000_seconds": 2.0,
+            "per_million_seconds": 2000.0,
+            "embeddings_per_minute": 15,
+            "description": "Up to 15 embeddings per minute of video"
+          },
+          "standard": {
+            "per_second": 0.001,
+            "per_1000_seconds": 1.0,
+            "per_million_seconds": 1000.0,
+            "embeddings_per_minute": 8,
+            "description": "Up to 8 embeddings per minute of video"
+          },
+          "essential": {
+            "per_second": 0.0005,
+            "per_1000_seconds": 0.5,
+            "per_million_seconds": 500.0,
+            "embeddings_per_minute": 4,
+            "description": "Up to 4 embeddings per minute of video"
+          }
+        }
+      }
+    }
+  },
   {
     "id": "openai/gpt-oss-120b-maas",
     "name": "GPT OSS 120B",
     "provider": "vertexai",
     "family": "gpt-oss",
-    "created_at": "2025-08-05 00:00:00 +0200",
+    "created_at": "2025-08-05 00:00:00 +0300",
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@@ -43571,7 +43489,7 @@
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     "family": "gpt-oss",
-    "created_at": "2025-08-05 00:00:00 +0200",
+    "created_at": "2025-08-05 00:00:00 +0300",
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     "max_output_tokens": 32768,
     "knowledge_cutoff": null,
@@ -43626,8 +43544,7 @@
       "output": []
     },
     "capabilities": [
-      "streaming",
-      "function_calling"
+      "streaming"
     ],
     "pricing": {},
     "metadata": {
@@ -43648,8 +43565,7 @@
       "output": []
     },
     "capabilities": [
-      "streaming",
-      "function_calling"
+      "streaming"
     ],
     "pricing": {},
     "metadata": {
@@ -43670,14 +43586,63 @@
       "output": []
     },
     "capabilities": [
-      "streaming",
-      "function_calling"
+      "streaming"
     ],
     "pricing": {},
     "metadata": {
       "source": "known_models"
     }
   },
+  {
+    "id": "zai-org/glm-4.7-maas",
+    "name": "GLM-4.7",
+    "provider": "vertexai",
+    "family": "glm",
+    "created_at": "2025-12-22 00:00:00 +0300",
+    "context_window": 204800,
+    "max_output_tokens": 131072,
+    "knowledge_cutoff": null,
+    "modalities": {
+      "input": [
+        "text"
+      ],
+      "output": [
+        "text"
+      ]
+    },
+    "capabilities": [
+      "function_calling",
+      "reasoning"
+    ],
+    "pricing": {
+      "text_tokens": {
+        "standard": {
+          "input_per_million": 0.6,
+          "output_per_million": 2.2
+        }
+      }
+    },
+    "metadata": {
+      "source": "models.dev",
+      "provider_id": "google-vertex",
+      "open_weights": true,
+      "attachment": false,
+      "temperature": true,
+      "last_updated": "2025-12-22",
+      "interleaved": {
+        "field": "reasoning_content"
+      },
+      "cost": {
+        "input": 0.6,
+        "output": 2.2
+      },
+      "limit": {
+        "context": 204800,
+        "output": 131072
+      },
+      "knowledge": "2025-04"
+    }
+  },
   {
     "id": "grok-2-1212",
     "name": "Grok 2 1212",
diff --git a/lib/ruby_llm/providers/vertexai/capabilities.rb b/lib/ruby_llm/providers/vertexai/capabilities.rb
new file mode 100644
index 000000000..4f438a3a8
--- /dev/null
+++ b/lib/ruby_llm/providers/vertexai/capabilities.rb
@@ -0,0 +1,190 @@
+# frozen_string_literal: true
+
+module RubyLLM
+  module Providers
+    class VertexAI
+      # Determines capabilities for Google Vertex AI models
+      module Capabilities
+        module_function
+
+        def context_window_for(model_id)
+          case model_id
+          when /multimodalembedding/ then 32
+          end
+        end
+
+        def max_tokens_for(model_id)
+          case model_id
+          when /multimodalembedding/ then 1048
+          end
+        end
+
+        def modalities_for(model_id)
+          case model_id
+          when /multimodalembedding/ then {
+            input: %w[text image video],
+            output: ['embeddings']
+          }
+          end
+        end
+
+        def modality_limits_for(model_id)
+          return nil unless model_id.match?(/multimodalembedding/)
+
+          {
+            text: {
+              max_tokens: 32,
+              description: 'Text input limited to 32 tokens'
+            },
+            image: {
+              max_count: 1,
+              max_size_mb: 20,
+              formats: %w[bmp gif jpeg png],
+              description: 'Single image up to 20MB'
+            },
+            video: {
+              max_duration_seconds: 120,
+              formats: %w[avi flv mkv mov mp4 mpeg mpg webm wmv],
+              description: 'Video up to 120 seconds'
+            }
+          }
+        end
+
+        def max_embedding_dimensions_for(model_id)
+          case model_id
+          when /multimodalembedding/ then 1408
+          end
+        end
+
+        def allowed_dimensions_for(model_id)
+          case model_id
+          when /multimodalembedding/
+            {
+              text: {
+                default: 1408,
+                options: [128, 256, 512, 1408],
+                description: 'Supports lower-dimension embeddings. Default is 1408'
+              },
+              image: {
+                default: 1408,
+                options: [128, 256, 512, 1408],
+                description: 'Supports lower-dimension embeddings. Default is 1408'
+              },
+              video: {
+                default: 1408,
+                options: [1408],
+                description: 'Only 1408-dimensional embeddings supported for video'
+              }
+            }
+          end
+        end
+
+        def supports_vision?(model_id)
+          model_id.match?(/multimodalembedding/)
+        end
+
+        def supports_video?(model_id)
+          model_id.match?(/multimodalembedding/)
+        end
+
+        def supports_functions?(model_id)
+          false if model_id.match?(/multimodalembedding/)
+        end
+
+        def model_type(model_id)
+          case model_id
+          when /embedding/ then 'embedding'
+          else 'chat'
+          end
+        end
+
+        def capabilities_for(model_id)
+          return ['vision'] if model_id.match?(/multimodalembedding/)
+
+          capabilities = ['streaming']
+          capabilities << 'function_calling' if model_id.include?('gemini')
+          capabilities.uniq
+        end
+
+        def supported_formats_for(model_id)
+          return nil unless model_id.match?(/multimodalembedding/)
+
+          {
+            image: %w[bmp gif jpeg png],
+            video: %w[avi flv mkv mov mp4 mpeg mpg webm wmv]
+          }
+        end
+
+        def pricing_for(model_id)
+          case model_id
+          when /multimodalembedding/
+            {
+              text_tokens: {
+                standard: {
+                  input_per_million: 0.2
+                }
+              },
+              images: {
+                standard: {
+                  input: 0.0001
+                }
+              }
+            }
+          end
+        end
+
+        def determine_metadata(model_id)
+          case model_id
+          when /multimodalembedding/
+            {
+              source: 'known_models',
+              model_type: 'embedding',
+              modality_limits: modality_limits_for(model_id),
+              max_embedding_dimensions: max_embedding_dimensions_for(model_id),
+              allowed_dimensions: allowed_dimensions_for(model_id),
+              supported_formats: supported_formats_for(model_id),
+              detailed_pricing: {
+                text: {
+                  per_1k_characters: 0.0002,
+                  per_million_characters: 0.2,
+                  description: 'Text embedding pricing'
+                },
+                image: {
+                  per_image: 0.0001,
+                  per_1000_images: 0.1,
+                  per_million_images: 100.0,
+                  description: 'Image embedding pricing'
+                },
+                video: {
+                  plus: {
+                    per_second: 0.0020,
+                    per_1000_seconds: 2.0,
+                    per_million_seconds: 2000.0,
+                    embeddings_per_minute: 15,
+                    description: 'Up to 15 embeddings per minute of video'
+                  },
+                  standard: {
+                    per_second: 0.0010,
+                    per_1000_seconds: 1.0,
+                    per_million_seconds: 1000.0,
+                    embeddings_per_minute: 8,
+                    description: 'Up to 8 embeddings per minute of video'
+                  },
+                  essential: {
+                    per_second: 0.0005,
+                    per_1000_seconds: 0.5,
+                    per_million_seconds: 500.0,
+                    embeddings_per_minute: 4,
+                    description: 'Up to 4 embeddings per minute of video'
+                  }
+                }
+              }
+            }
+          else
+            { source: 'known_models' }
+          end
+        end
+      end
+    end
+  end
+end
diff --git a/lib/ruby_llm/providers/vertexai/models.rb b/lib/ruby_llm/providers/vertexai/models.rb
index 196e9620f..72d3754e3 100644
--- a/lib/ruby_llm/providers/vertexai/models.rb
+++ b/lib/ruby_llm/providers/vertexai/models.rb
@@ -27,6 +27,7 @@ module Models
           text-embedding-005
           text-embedding-004
           text-multilingual-embedding-002
+          multimodalembedding
         ].freeze
 
         def list_models
@@ -70,14 +71,12 @@ def build_known_models
               provider: slug,
               family: determine_model_family(model_id),
               created_at: nil,
-              context_window: nil,
-              max_output_tokens: nil,
-              modalities: nil,
-              capabilities: %w[streaming function_calling],
-              pricing: nil,
-              metadata: {
-                source: 'known_models'
-              }
+              context_window: Capabilities.context_window_for(model_id),
+              max_output_tokens: Capabilities.max_tokens_for(model_id),
+              modalities: Capabilities.modalities_for(model_id),
+              capabilities: Capabilities.capabilities_for(model_id),
+              pricing: Capabilities.pricing_for(model_id),
+              metadata: Capabilities.determine_metadata(model_id)
             )
           end
         end
@@ -114,6 +113,7 @@ def determine_model_family(model_id)
           when /^gemini-1\.\d+/ then 'gemini-1.5'
           when /^text-embedding/ then 'text-embedding'
           when /bison/ then 'palm'
+          when /multimodalembedding/ then 'multimodalembedding'
           else 'gemini'
           end
         end

From 62a4dd7838f87d668e449ca7906e9d2b7df393ca Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Wed, 28 Jan 2026 19:01:51 +0300
Subject: [PATCH 08/11] Add with parameter to hold all media arguments

---
 lib/ruby_llm/embedding.rb                     |  16 +-
 lib/ruby_llm/provider.rb                      |   6 +-
 lib/ruby_llm/providers/vertexai/embeddings.rb |  53 ++++-
 .../providers/vertex_ai/embeddings_spec.rb    | 217 +++++++++++++++++-
 4 files changed, 268 insertions(+), 24 deletions(-)

diff --git a/lib/ruby_llm/embedding.rb b/lib/ruby_llm/embedding.rb
index e9a48ee70..189700cc2 100644
--- a/lib/ruby_llm/embedding.rb
+++ b/lib/ruby_llm/embedding.rb
@@ -14,11 +14,10 @@ def initialize(vectors:, model:, input_tokens: 0)
     def self.embed(text = nil, # rubocop:disable Metrics/ParameterLists
                    model: nil,
                    provider: nil,
-                   image: nil,
-                   video: nil,
                    assume_model_exists: false,
                    context: nil,
-                   dimensions: nil)
+                   dimensions: nil,
+                   with: nil)
       config = context&.config || RubyLLM.config
       model ||= config.default_embedding_model
       model, provider_instance = Models.resolve(model, provider: provider, assume_exists: assume_model_exists,
@@ -29,25 +28,22 @@ def self.embed(text = nil, # rubocop:disable Metrics/ParameterLists
         text: text,
         model_id: model_id,
         dimensions: dimensions,
-        image: image,
-        video: video
+        with: with
       )
 
       provider_instance.embed(**args)
     end
 
-    def self.set_embedding_params(provider_instance, # rubocop:disable Metrics/ParameterLists
+    def self.set_embedding_params(provider_instance,
                                   text: nil,
                                   model_id: nil,
                                   dimensions: nil,
-                                  image: nil,
-                                  video: nil)
+                                  with: nil)
       embed_params = provider_instance.method(:embed).parameters.map(&:last)
       args = { model: model_id }
       args[:text] = text if text
       args[:dimensions] = dimensions if dimensions
-      args[:image] = image if image && embed_params.include?(:image)
-      args[:video] = video if video && embed_params.include?(:video)
+      args[:with] = with if with && embed_params.include?(:with)
       args
     end
   end
diff --git a/lib/ruby_llm/provider.rb b/lib/ruby_llm/provider.rb
index 5a362eb99..369870ddd 100644
--- a/lib/ruby_llm/provider.rb
+++ b/lib/ruby_llm/provider.rb
@@ -65,9 +65,9 @@ def list_models
       parse_list_models_response response, slug, capabilities
     end
 
-    def embed(model:, text: nil, image: nil, video: nil, dimensions: nil)
-      payload = if image || video
-                  render_embedding_payload(text, model:, image:, video:, dimensions:)
+    def embed(model:, text: nil, dimensions: nil, with: nil)
+      payload = if with
+                  render_embedding_payload(text, model:, dimensions:, with:)
                 else
                   render_embedding_payload(text, model:, dimensions:)
                 end
diff --git a/lib/ruby_llm/providers/vertexai/embeddings.rb b/lib/ruby_llm/providers/vertexai/embeddings.rb
index 50c472ed0..14eb1d519 100644
--- a/lib/ruby_llm/providers/vertexai/embeddings.rb
+++ b/lib/ruby_llm/providers/vertexai/embeddings.rb
@@ -11,11 +11,11 @@ def embedding_url(model:)
           "projects/#{@config.vertexai_project_id}/locations/#{@config.vertexai_location}/publishers/google/models/#{model}:predict" # rubocop:disable Layout/LineLength
         end
 
-        def render_embedding_payload(text, model:, image: nil, video: nil, dimensions: nil) # rubocop:disable Lint/UnusedMethodArgument
-          is_multimodal = image.present? || video.present?
+        def render_embedding_payload(text, model:, dimensions: nil, with: nil) # rubocop:disable Lint/UnusedMethodArgument
+          is_multimodal = with.present?
 
           if is_multimodal
-            render_multimodal_payload(text:, image:, video:, dimensions:)
+            render_multimodal_payload(text:, with:, dimensions:)
           else
             {
               instances: [text].flatten.map { |t| { text: t.to_s } }
@@ -25,11 +25,15 @@ def render_embedding_payload(text, model:, image: nil, video: nil, dimensions: n
           end
         end
 
-        def render_multimodal_payload(text:, image:, video:, dimensions:)
+        def render_multimodal_payload(text:, with:, dimensions:)
+          files = categorize_files(with)
+
+          validate_multimodal_inputs(files)
+
           instance = {}
           instance[:text] = text.to_s if text
-          add_image_instance(instance, image: image)
-          add_video_instance(instance, video: video)
+          add_image_instance(instance, image: files[:image].first) if files[:image].any?
+          add_video_instance(instance, video: files[:video].first) if files[:video].any?
 
           {
             instances: [instance]
@@ -38,6 +42,43 @@ def render_multimodal_payload(text:, image:, video:, dimensions:)
           end
         end
 
+        def validate_multimodal_inputs(files)
+          raise ArgumentError, 'This model only supports one image at a time.' if files[:image].size > 1
+          raise ArgumentError, 'This model only supports one video at a time.' if files[:video].size > 1
+        end
+
+        def categorize_files(files)
+          result = { image: [], video: [] }
+
+          Array(files).each do |file|
+            case detect_file_type(file)
+            when :image
+              result[:image] << file
+            when :video
+              result[:video] << file
+            else
+              raise ArgumentError, "Unsupported file type for file: #{file}"
+            end
+          end
+          result
+        end
+
+        def detect_file_type(file)
+          filename = if file.respond_to?(:path)
+                       file.path
+                     elsif file.is_a?(String)
+                       file
+                     else
+                       return :unknown
+                     end
+          extension = File.extname(filename).downcase
+
+          return :image if %w[.jpg .jpeg .png .gif .bmp].include?(extension)
+          return :video if %w[.avi .flv .mkv .mov .mp4 .mpeg .mpg .webm .wmv].include?(extension)
+
+          :unknown
+        end
+
         def add_image_instance(instance, image:)
           return unless image.present?
 
diff --git a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
index d8f176f7c..f3c7aa9a5 100644
--- a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
+++ b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
@@ -55,20 +55,152 @@ def initialize(config)
     end
 
     context 'with multimodal content payload' do
-      it 'renders payload with multimodal content' do
-        image_data = 'fake_image_data'
-        video_data = 'fake_video_data'
+      it 'renders payload with image file' do
+        image_file = Tempfile.new(['test_image', '.png'])
+        image_file.write('fake_image_data')
+        image_file.rewind
 
         payload = embeddings.send(
           :render_embedding_payload,
           'Test multimodal input',
           model: 'multimodalembedding',
-          image: image_data,
-          video: video_data
+          with: [image_file]
         )
         expect(payload[:instances].first[:text]).to eq('Test multimodal input')
         expect(payload[:instances].first).to have_key(:image)
+        expect(payload[:instances].first).not_to have_key(:video)
+
+        image_file.close
+        image_file.unlink
+      end
+
+      it 'renders payload with video file' do
+        video_file = Tempfile.new(['test_video', '.mp4'])
+        video_file.write('fake_video_data')
+        video_file.rewind
+
+        payload = embeddings.send(
+          :render_embedding_payload,
+          'Test multimodal input',
+          model: 'multimodalembedding',
+          with: [video_file]
+        )
+        expect(payload[:instances].first[:text]).to eq('Test multimodal input')
+        expect(payload[:instances].first).to have_key(:video)
+        expect(payload[:instances].first).not_to have_key(:image)
+
+        video_file.close
+        video_file.unlink
+      end
+
+      it 'renders payload with GCS video URI' do
+        payload = embeddings.send(
+          :render_embedding_payload,
+          'Test multimodal input',
+          model: 'multimodalembedding',
+          with: ['gs://my-bucket/my-video.mp4']
+        )
+        expect(payload[:instances].first[:text]).to eq('Test multimodal input')
         expect(payload[:instances].first).to have_key(:video)
+        expect(payload[:instances].first).not_to have_key(:image)
+      end
+
+      it 'renders both image and video in payload' do
+        image_file = Tempfile.new(['test_image', '.png'])
+        image_file.write('fake_image_data')
+        image_file.rewind
+
+        video_file = Tempfile.new(['test_video', '.mp4'])
+        video_file.write('fake_video_data')
+        video_file.rewind
+
+        payload = embeddings.send(
+          :render_embedding_payload,
+          'Test multimodal input',
+          model: 'multimodalembedding',
+          with: [image_file, video_file]
+        )
+        expect(payload[:instances].first[:text]).to eq('Test multimodal input')
+        expect(payload[:instances].first).to have_key(:image)
+        expect(payload[:instances].first).to have_key(:video)
+
+        image_file.close
+        image_file.unlink
+        video_file.close
+        video_file.unlink
+      end
+
+      it 'renders payload with no multimodal content' do
+        payload = embeddings.send(
+          :render_embedding_payload,
+          'Test multimodal input',
+          model: 'multimodalembedding'
+        )
+        expect(payload[:instances].first[:text]).to eq('Test multimodal input')
+        expect(payload[:instances].first).not_to have_key(:image)
+        expect(payload[:instances].first).not_to have_key(:video)
+      end
+
+      it 'raises error for unsupported file type' do
+        unsupported_file = Tempfile.new(['test_unsupported', '.txt'])
+        unsupported_file.write('some text data')
+        unsupported_file.rewind
+
+        expect do
+          embeddings.send(
+            :render_embedding_payload,
+            'Test multimodal input',
+            model: 'multimodalembedding',
+            with: [unsupported_file]
+          )
+        end.to raise_error(ArgumentError, /Unsupported file type for file/)
+
+        unsupported_file.close
+        unsupported_file.unlink
+      end
+
+      it 'raises error for multiple images' do
+        image_file1 = Tempfile.new(['test_image1', '.png'])
+        image_file2 = Tempfile.new(['test_image2', '.jpg'])
+        image_file1.write('fake_image_data_1')
+        image_file2.write('fake_image_data_2')
+        image_file1.rewind
+        image_file2.rewind
+
+        expect do
+          embeddings.send(
+            :render_embedding_payload,
+            'Test multimodal input',
+            model: 'multimodalembedding',
+            with: [image_file1, image_file2]
+          )
+        end.to raise_error(ArgumentError, 'This model only supports one image at a time.')
+        image_file1.close
+        image_file1.unlink
+        image_file2.close
+        image_file2.unlink
+      end
+
+      it 'raises error for multiple videos' do
+        video_file1 = Tempfile.new(['test_video1', '.mp4'])
+        video_file2 = Tempfile.new(['test_video2', '.avi'])
+        video_file1.write('fake_video_data_1')
+        video_file2.write('fake_video_data_2')
+        video_file1.rewind
+        video_file2.rewind
+
+        expect do
+          embeddings.send(
+            :render_embedding_payload,
+            'Test multimodal input',
+            model: 'multimodalembedding',
+            with: [video_file1, video_file2]
+          )
+        end.to raise_error(ArgumentError, /This model only supports one video at a time/)
+        video_file1.close
+        video_file1.unlink
+        video_file2.close
+        video_file2.unlink
       end
 
       it 'renders payload wtih dimensions parameter' do
@@ -83,6 +215,81 @@ def initialize(config)
     end
   end
 
+  describe '#categorize_files' do
+    it 'categorizes image files correctly' do
+      files = embeddings.send(:categorize_files, ['image.jpg', 'photo.png'])
+      expect(files[:image].length).to eq(2)
+      expect(files[:video].length).to eq(0)
+    end
+
+    it 'categorizes video files correctly' do
+      files = embeddings.send(:categorize_files, ['video.mp4', 'movie.mov'])
+      expect(files[:image].length).to eq(0)
+      expect(files[:video].length).to eq(2)
+    end
+
+    it 'categorizes mixed files correctly' do
+      files = embeddings.send(:categorize_files, ['image.jpg', 'video.mp4'])
+      expect(files[:image].length).to eq(1)
+      expect(files[:video].length).to eq(1)
+    end
+
+    it 'raises error for unsupported file types' do
+      expect do
+        embeddings.send(:categorize_files, ['document.pdf'])
+      end.to raise_error(ArgumentError, /Unsupported file type/)
+    end
+  end
+
+  describe '#detect_file_type' do
+    it 'detects image formats' do
+      expect(embeddings.send(:detect_file_type, 'photo.jpg')).to eq(:image)
+      expect(embeddings.send(:detect_file_type, 'image.png')).to eq(:image)
+      expect(embeddings.send(:detect_file_type, 'pic.gif')).to eq(:image)
+    end
+
+    it 'detects video formats' do
+      expect(embeddings.send(:detect_file_type, 'video.mp4')).to eq(:video)
+      expect(embeddings.send(:detect_file_type, 'movie.mov')).to eq(:video)
+      expect(embeddings.send(:detect_file_type, 'clip.webm')).to eq(:video)
+    end
+
+    it 'handles file objects with path method' do
+      file = double('file', path: 'image.jpg') # rubocop:disable RSpec/VerifiedDoubles
+      expect(embeddings.send(:detect_file_type, file)).to eq(:image)
+    end
+
+    it 'returns unknown for unsupported types' do
+      expect(embeddings.send(:detect_file_type, 'doc.pdf')).to eq(:unknown)
+    end
+  end
+
+  describe '#validate_multimodal_inputs' do
+    it 'allows single image' do
+      files = { image: ['image.jpg'], video: [] }
+      expect { embeddings.send(:validate_multimodal_inputs, files) }.not_to raise_error
+    end
+
+    it 'allows single video' do
+      files = { image: [], video: ['video.mp4'] }
+      expect { embeddings.send(:validate_multimodal_inputs, files) }.not_to raise_error
+    end
+
+    it 'raises error for multiple images' do
+      files = { image: ['img1.jpg', 'img2.jpg'], video: [] }
+      expect do
+        embeddings.send(:validate_multimodal_inputs, files)
+      end.to raise_error(ArgumentError, 'This model only supports one image at a time.')
+    end
+
+    it 'raises error for multiple videos' do
+      files = { image: [], video: ['vid1.mp4', 'vid2.mp4'] }
+      expect do
+        embeddings.send(:validate_multimodal_inputs, files)
+      end.to raise_error(ArgumentError, 'This model only supports one video at a time.')
+    end
+  end
+
   describe '#parse_embedding_response' do
     context 'with text only embeddings' do
       it 'parses text only embedding response' do

From 8caa042f67e2e91a4ea228d2eda12ae55d7e2c4e Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Thu, 29 Jan 2026 19:08:45 +0300
Subject: [PATCH 09/11] Fix image and video input bug

---
 lib/ruby_llm/providers/vertexai/embeddings.rb | 24 +++++++++++++++----
 .../providers/vertex_ai/embeddings_spec.rb    |  2 +-
 2 files changed, 20 insertions(+), 6 deletions(-)

diff --git a/lib/ruby_llm/providers/vertexai/embeddings.rb b/lib/ruby_llm/providers/vertexai/embeddings.rb
index 14eb1d519..0e0fd8a99 100644
--- a/lib/ruby_llm/providers/vertexai/embeddings.rb
+++ b/lib/ruby_llm/providers/vertexai/embeddings.rb
@@ -83,7 +83,14 @@ def add_image_instance(instance, image:)
           return unless image.present?
 
           require 'base64'
-          image_data = image.respond_to?(:read) ? image.read : image
+          image_data = if image.respond_to?(:read)
+                         image.read
+                       elsif image.is_a?(String) && File.exist?(image)
+                         File.binread(image)
+                       else
+                         image
+                       end
+
           instance[:image] = { bytesBase64Encoded: Base64.strict_encode64(image_data) }
         end
 
@@ -93,10 +100,17 @@ def add_video_instance(instance, video:)
           require 'base64'
           if video.is_a?(String) && video.start_with?('gs://')
             instance[:video] = { gcsUri: video }
-          else
-            video_data = video.respond_to?(:read) ? video.read : video
-            instance[:video] = { bytesBase64Encoded: Base64.strict_encode64(video_data) }
+            return
           end
+
+          video_data = if video.respond_to?(:read)
+                         video.read
+                       elsif video.is_a?(String) && File.exist?(video)
+                         File.binread(video)
+                       else
+                         video
+                       end
+          instance[:video] = { bytesBase64Encoded: Base64.strict_encode64(video_data) }
         end
 
         def parse_embedding_response(response, model:, text:)
@@ -114,7 +128,7 @@ def parse_embedding_response(response, model:, text:)
         def parse_multimodal_embeddings(predictions)
           text_embedding = predictions&.dig(0, 'textEmbedding')
           image_embedding = predictions&.dig(0, 'imageEmbedding')
-          video_embedding = predictions&.dig(0, 'videoEmbedding')
+          video_embedding = predictions&.dig(0, 'videoEmbeddings')
 
           vectors = {}
           vectors[:text] = text_embedding if text_embedding
diff --git a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
index f3c7aa9a5..bad2dccc6 100644
--- a/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
+++ b/spec/ruby_llm/providers/vertex_ai/embeddings_spec.rb
@@ -360,7 +360,7 @@ def initialize(config)
               {
                 'textEmbedding' => ['0.1,....'],
                 'imageEmbedding' => ['0.2,....'],
-                'videoEmbedding' => ['0.3,....']
+                'videoEmbeddings' => ['0.3,....']
               }
             ]
           }

From 73f2e5e4a25f9b3c44a50a08c457deaed4ac3df3 Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Fri, 30 Jan 2026 16:14:02 +0300
Subject: [PATCH 10/11] Edit README.md

---
 README.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/README.md b/README.md
index f398e68ba..0c2805560 100644
--- a/README.md
+++ b/README.md
@@ -67,6 +67,9 @@ RubyLLM.paint "a sunset over mountains in watercolor style"
 ```ruby
 # Create embeddings
 RubyLLM.embed "Ruby is elegant and expressive"
+
+# Create multimodal embeddings (with supported models)
+RubyLLM.embed "Ruby is elegant and expressive", with: ["image.png", "video.mp4"], model: multimodalembedding
 ```
 
 ```ruby

From ef4c6a23786cfc27f7098b25ab3ffe42b148395e Mon Sep 17 00:00:00 2001
From: Ndunge-Makau <winniemakau@outloo.com>
Date: Tue, 3 Mar 2026 17:32:44 +0300
Subject: [PATCH 11/11] Fix potential regression issue

---
 lib/ruby_llm/providers/vertexai/embeddings.rb | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/lib/ruby_llm/providers/vertexai/embeddings.rb b/lib/ruby_llm/providers/vertexai/embeddings.rb
index 0e0fd8a99..0117dd01f 100644
--- a/lib/ruby_llm/providers/vertexai/embeddings.rb
+++ b/lib/ruby_llm/providers/vertexai/embeddings.rb
@@ -116,7 +116,7 @@ def add_video_instance(instance, video:)
         def parse_embedding_response(response, model:, text:)
           predictions = response.body['predictions']
 
-          if model == 'multimodalembedding'
+          if multimodal_embedding_response?(predictions)
             vectors = parse_multimodal_embeddings(predictions)
           else
             vectors = predictions&.map { |p| p.dig('embeddings', 'values') }
@@ -125,6 +125,12 @@ def parse_embedding_response(response, model:, text:)
           Embedding.new(vectors:, model:, input_tokens: 0)
         end
 
+        def multimodal_embedding_response?(predictions)
+          predictions&.dig(0, 'textEmbedding') ||
+            predictions&.dig(0, 'imageEmbedding') ||
+            predictions&.dig(0, 'videoEmbeddings')
+        end
+
         def parse_multimodal_embeddings(predictions)
           text_embedding = predictions&.dig(0, 'textEmbedding')
           image_embedding = predictions&.dig(0, 'imageEmbedding')