diff --git a/controller/model.go b/controller/model.go
index 4dbd45838dd..93d88695f37 100644
--- a/controller/model.go
+++ b/controller/model.go
@@ -3,6 +3,7 @@ package controller
 import (
 	"fmt"
 	"net/http"
+	"strings"
 	"time"
 
 	"github.com/QuantumNous/new-api/common"
@@ -220,10 +221,7 @@ func ListModels(c *gin.Context, modelType int) {
 	case constant.ChannelTypeGemini:
 		userGeminiModels := make([]dto.GeminiModel, len(userOpenAiModels))
 		for i, model := range userOpenAiModels {
-			userGeminiModels[i] = dto.GeminiModel{
-				Name:        model.Id,
-				DisplayName: model.Id,
-			}
+			userGeminiModels[i] = buildGeminiModel(model)
 		}
 		c.JSON(200, gin.H{
 			"models":        userGeminiModels,
@@ -238,6 +236,81 @@ func ListModels(c *gin.Context, modelType int) {
 	}
 }
 
+func buildGeminiModel(openAIModel dto.OpenAIModels) dto.GeminiModel {
+	normalizedModelID := normalizeGeminiModelID(openAIModel.Id)
+	return dto.GeminiModel{
+		Name:                       fmt.Sprintf("models/%s", normalizedModelID),
+		DisplayName:                normalizedModelID,
+		SupportedGenerationMethods: getGeminiSupportedGenerationMethods(openAIModel),
+	}
+}
+
+func getGeminiSupportedGenerationMethods(openAIModel dto.OpenAIModels) []string {
+	if methods := getGeminiSupportedGenerationMethodsFromEndpoints(openAIModel.SupportedEndpointTypes); len(methods) > 0 {
+		return methods
+	}
+	if methods := getGeminiSupportedGenerationMethodsFromModelID(openAIModel.Id); len(methods) > 0 {
+		return methods
+	}
+
+	return []string{"generateContent"}
+}
+
+func getGeminiSupportedGenerationMethodsFromEndpoints(endpointTypes []constant.EndpointType) []string {
+	methods := make([]string, 0, 2)
+	for _, endpointType := range endpointTypes {
+		switch endpointType {
+		case constant.EndpointTypeImageGeneration:
+			methods = appendUniqueGeminiMethod(methods, "predict")
+		case constant.EndpointTypeEmbeddings:
+			methods = appendUniqueGeminiMethod(methods, "embedContent")
+			methods = appendUniqueGeminiMethod(methods, "batchEmbedContents")
+		}
+	}
+	return methods
+}
+
+func getGeminiSupportedGenerationMethodsFromModelID(modelID string) []string {
+	normalizedModelID := normalizeGeminiModelID(modelID)
+	switch {
+	case isGeminiVideoModel(normalizedModelID):
+		return []string{"predictLongRunning"}
+	case isGeminiEmbeddingModel(normalizedModelID):
+		return []string{"embedContent", "batchEmbedContents"}
+	case isGeminiPredictModel(normalizedModelID):
+		return []string{"predict"}
+	}
+
+	return nil
+}
+
+func normalizeGeminiModelID(modelID string) string {
+	return strings.ToLower(strings.TrimPrefix(modelID, "models/"))
+}
+
+func isGeminiEmbeddingModel(modelID string) bool {
+	return strings.HasPrefix(modelID, "text-embedding") ||
+		strings.HasPrefix(modelID, "embedding") ||
+		strings.HasPrefix(modelID, "gemini-embedding")
+}
+
+func isGeminiPredictModel(modelID string) bool {
+	return strings.HasPrefix(modelID, "imagen")
+}
+
+func isGeminiVideoModel(modelID string) bool {
+	return strings.HasPrefix(modelID, "veo-")
+}
+
+func appendUniqueGeminiMethod(methods []string, method string) []string {
+	for _, existing := range methods {
+		if existing == method {
+			return methods
+		}
+	}
+	return append(methods, method)
+}
+
 func ChannelListModels(c *gin.Context) {
 	c.JSON(200, gin.H{
 		"success": true,
diff --git a/controller/model_list_test.go b/controller/model_list_test.go
index 97d27cae5c6..70ca0eb3992 100644
--- a/controller/model_list_test.go
+++ b/controller/model_list_test.go
@@ -26,6 +26,11 @@ type listModelsResponse struct {
 	Object  string             `json:"object"`
 }
 
+type geminiListModelsResponse struct {
+	Models        []dto.GeminiModel `json:"models"`
+	NextPageToken interface{}       `json:"nextPageToken"`
+}
+
 func setupModelListControllerTestDB(t *testing.T) *gorm.DB {
 	t.Helper()
 
@@ -146,6 +151,65 @@ func decodeListModelsResponse(t *testing.T, recorder *httptest.ResponseRecorder)
 	return ids
 }
 
+func decodeGeminiListModelsResponse(t *testing.T, recorder *httptest.ResponseRecorder) map[string]dto.GeminiModel {
+	t.Helper()
+
+	require.Equal(t, http.StatusOK, recorder.Code)
+	var payload geminiListModelsResponse
+	require.NoError(t, common.Unmarshal(recorder.Body.Bytes(), &payload))
+
+	modelsByName := make(map[string]dto.GeminiModel, len(payload.Models))
+	for _, item := range payload.Models {
+		name, ok := item.Name.(string)
+		require.True(t, ok)
+		modelsByName[name] = item
+	}
+	return modelsByName
+}
+
+func geminiMethods(model dto.GeminiModel) []string {
+	return append([]string(nil), model.SupportedGenerationMethods...)
+}
+
+func TestBuildGeminiModelNormalizesPrefixedID(t *testing.T) {
+	geminiModel := buildGeminiModel(dto.OpenAIModels{Id: "models/gemini-2.5-flash"})
+
+	require.Equal(t, "models/gemini-2.5-flash", geminiModel.Name)
+	require.Equal(t, "gemini-2.5-flash", geminiModel.DisplayName)
+	require.ElementsMatch(t, []string{"generateContent"}, geminiModel.SupportedGenerationMethods)
+}
+
+func TestGetGeminiSupportedGenerationMethodsUsesEndpointMetadata(t *testing.T) {
+	require.ElementsMatch(t,
+		[]string{"predict"},
+		getGeminiSupportedGenerationMethods(dto.OpenAIModels{
+			Id:                     "custom-image-model",
+			SupportedEndpointTypes: []constant.EndpointType{constant.EndpointTypeImageGeneration, constant.EndpointTypeGemini},
+		}),
+	)
+	require.ElementsMatch(t,
+		[]string{"embedContent", "batchEmbedContents"},
+		getGeminiSupportedGenerationMethods(dto.OpenAIModels{
+			Id:                     "custom-embedding-model",
+			SupportedEndpointTypes: []constant.EndpointType{constant.EndpointTypeEmbeddings, constant.EndpointTypeGemini},
+		}),
+	)
+	require.ElementsMatch(t,
+		[]string{"embedContent", "batchEmbedContents"},
+		getGeminiSupportedGenerationMethods(dto.OpenAIModels{
+			Id:                     "gemini-embedding-001",
+			SupportedEndpointTypes: []constant.EndpointType{constant.EndpointTypeGemini, constant.EndpointTypeOpenAI},
+		}),
+	)
+	require.ElementsMatch(t,
+		[]string{"generateContent"},
+		getGeminiSupportedGenerationMethods(dto.OpenAIModels{
+			Id:                     "custom-text-model",
+			SupportedEndpointTypes: []constant.EndpointType{constant.EndpointTypeGemini},
+		}),
+	)
+}
+
 func pricingByModelName(pricings []model.Pricing) map[string]model.Pricing {
 	byName := make(map[string]model.Pricing, len(pricings))
 	for _, pricing := range pricings {
@@ -240,3 +304,44 @@ func TestListModelsTokenLimitIncludesTieredBillingModel(t *testing.T) {
 	require.NotContains(t, ids, "zz-token-tiered-missing-expr-model")
 	require.NotContains(t, ids, "zz-token-unpriced-model")
 }
+
+func TestListModelsGeminiIncludesSupportedGenerationMethods(t *testing.T) {
+	originalSelfUseMode := operation_setting.SelfUseModeEnabled
+	operation_setting.SelfUseModeEnabled = true
+	t.Cleanup(func() {
+		operation_setting.SelfUseModeEnabled = originalSelfUseMode
+		model.InvalidatePricingCache()
+	})
+
+	db := setupModelListControllerTestDB(t)
+	require.NoError(t, db.Create(&model.User{
+		Id:       1002,
+		Username: "gemini-model-list-user",
+		Password: "password",
+		Group:    "default",
+		Status:   common.UserStatusEnabled,
+	}).Error)
+	require.NoError(t, db.Create(&[]model.Channel{
+		{Id: 1, Type: constant.ChannelTypeGemini, Status: common.ChannelStatusEnabled, Models: "gemini-2.5-flash,gemini-embedding-001,imagen-4.0-generate-001", Group: "default"},
+	}).Error)
+	require.NoError(t, db.Create(&[]model.Ability{
+		{Group: "default", Model: "gemini-2.5-flash", ChannelId: 1, Enabled: true},
+		{Group: "default", Model: "gemini-embedding-001", ChannelId: 1, Enabled: true},
+		{Group: "default", Model: "imagen-4.0-generate-001", ChannelId: 1, Enabled: true},
+	}).Error)
+	model.InvalidatePricingCache()
+	model.GetPricing()
+
+	recorder := httptest.NewRecorder()
+	ctx, _ := gin.CreateTestContext(recorder)
+	ctx.Request = httptest.NewRequest(http.MethodGet, "/v1beta/models", nil)
+	ctx.Set("id", 1002)
+
+	ListModels(ctx, constant.ChannelTypeGemini)
+
+	models := decodeGeminiListModelsResponse(t, recorder)
+
+	require.ElementsMatch(t, []string{"generateContent"}, geminiMethods(models["models/gemini-2.5-flash"]))
+	require.ElementsMatch(t, []string{"embedContent", "batchEmbedContents"}, geminiMethods(models["models/gemini-embedding-001"]))
+	require.ElementsMatch(t, []string{"predict"}, geminiMethods(models["models/imagen-4.0-generate-001"]))
+}
diff --git a/dto/pricing.go b/dto/pricing.go
index 1ed8dcd31c2..db8de93ed17 100644
--- a/dto/pricing.go
+++ b/dto/pricing.go
@@ -19,17 +19,17 @@ type AnthropicModel struct {
 }
 
 type GeminiModel struct {
-	Name                       interface{}   `json:"name"`
-	BaseModelId                interface{}   `json:"baseModelId"`
-	Version                    interface{}   `json:"version"`
-	DisplayName                interface{}   `json:"displayName"`
-	Description                interface{}   `json:"description"`
-	InputTokenLimit            interface{}   `json:"inputTokenLimit"`
-	OutputTokenLimit           interface{}   `json:"outputTokenLimit"`
-	SupportedGenerationMethods []interface{} `json:"supportedGenerationMethods"`
-	Thinking                   interface{}   `json:"thinking"`
-	Temperature                interface{}   `json:"temperature"`
-	MaxTemperature             interface{}   `json:"maxTemperature"`
-	TopP                       interface{}   `json:"topP"`
-	TopK                       interface{}   `json:"topK"`
+	Name                       interface{} `json:"name"`
+	BaseModelId                interface{} `json:"baseModelId"`
+	Version                    interface{} `json:"version"`
+	DisplayName                interface{} `json:"displayName"`
+	Description                interface{} `json:"description"`
+	InputTokenLimit            interface{} `json:"inputTokenLimit"`
+	OutputTokenLimit           interface{} `json:"outputTokenLimit"`
+	SupportedGenerationMethods []string    `json:"supportedGenerationMethods"`
+	Thinking                   interface{} `json:"thinking"`
+	Temperature                interface{} `json:"temperature"`
+	MaxTemperature             interface{} `json:"maxTemperature"`
+	TopP                       interface{} `json:"topP"`
+	TopK                       interface{} `json:"topK"`
 }