diff --git a/src/api/providers/fetchers/__tests__/lmstudio.test.ts b/src/api/providers/fetchers/__tests__/lmstudio.test.ts
index ff9a109e50..f46bc76080 100644
--- a/src/api/providers/fetchers/__tests__/lmstudio.test.ts
+++ b/src/api/providers/fetchers/__tests__/lmstudio.test.ts
@@ -11,16 +11,12 @@ const mockedAxios = axios as any
 // Mock @lmstudio/sdk
 const mockGetModelInfo = vi.fn()
 const mockListLoaded = vi.fn()
-const mockListDownloadedModels = vi.fn()
 vi.mock("@lmstudio/sdk", () => {
 	return {
 		LMStudioClient: vi.fn().mockImplementation(() => ({
 			llm: {
 				listLoaded: mockListLoaded,
 			},
-			system: {
-				listDownloadedModels: mockListDownloadedModels,
-			},
 		})),
 	}
 })
@@ -32,7 +28,6 @@ describe("LMStudio Fetcher", () => {
 		MockedLMStudioClientConstructor.mockClear()
 		mockListLoaded.mockClear()
 		mockGetModelInfo.mockClear()
-		mockListDownloadedModels.mockClear()
 	})
 
 	describe("parseLMStudioModel", () => {
@@ -93,40 +88,8 @@ describe("LMStudio Fetcher", () => {
 			trainedForToolUse: false, // Added
 		}
 
-		it("should fetch downloaded models using system.listDownloadedModels", async () => {
-			const mockLLMInfo: LLMInfo = {
-				type: "llm" as const,
-				modelKey: "mistralai/devstral-small-2505",
-				format: "safetensors",
-				displayName: "Devstral Small 2505",
-				path: "mistralai/devstral-small-2505",
-				sizeBytes: 13277565112,
-				architecture: "mistral",
-				vision: false,
-				trainedForToolUse: false,
-				maxContextLength: 131072,
-			}
-
-			mockedAxios.get.mockResolvedValueOnce({ data: { status: "ok" } })
-			mockListDownloadedModels.mockResolvedValueOnce([mockLLMInfo])
-
-			const result = await getLMStudioModels(baseUrl)
-
-			expect(mockedAxios.get).toHaveBeenCalledTimes(1)
-			expect(mockedAxios.get).toHaveBeenCalledWith(`${baseUrl}/v1/models`)
-			expect(MockedLMStudioClientConstructor).toHaveBeenCalledTimes(1)
-			expect(MockedLMStudioClientConstructor).toHaveBeenCalledWith({ baseUrl: lmsUrl })
-			expect(mockListDownloadedModels).toHaveBeenCalledTimes(1)
-			expect(mockListDownloadedModels).toHaveBeenCalledWith("llm")
-			expect(mockListLoaded).toHaveBeenCalled() // we now call it to get context data
-
-			const expectedParsedModel = parseLMStudioModel(mockLLMInfo)
-			expect(result).toEqual({ [mockLLMInfo.path]: expectedParsedModel })
-		})
-
-		it("should fall back to listLoaded when listDownloadedModels fails", async () => {
+		it("should fetch only loaded models and use model.path as key", async () => {
 			mockedAxios.get.mockResolvedValueOnce({ data: { status: "ok" } })
-			mockListDownloadedModels.mockRejectedValueOnce(new Error("Method not available"))
 			mockListLoaded.mockResolvedValueOnce([{ getModelInfo: mockGetModelInfo }])
 			mockGetModelInfo.mockResolvedValueOnce(mockRawModel)
 
@@ -136,11 +99,11 @@ describe("LMStudio Fetcher", () => {
 			expect(mockedAxios.get).toHaveBeenCalledWith(`${baseUrl}/v1/models`)
 			expect(MockedLMStudioClientConstructor).toHaveBeenCalledTimes(1)
 			expect(MockedLMStudioClientConstructor).toHaveBeenCalledWith({ baseUrl: lmsUrl })
-			expect(mockListDownloadedModels).toHaveBeenCalledTimes(1)
 			expect(mockListLoaded).toHaveBeenCalledTimes(1)
 
 			const expectedParsedModel = parseLMStudioModel(mockRawModel)
-			expect(result).toEqual({ [mockRawModel.modelKey]: expectedParsedModel })
+			// Now using model.path as the key instead of modelKey
+			expect(result).toEqual({ [mockRawModel.path]: expectedParsedModel })
 		})
 
 		it("should use default baseUrl if an empty string is provided", async () => {
@@ -212,7 +175,7 @@ describe("LMStudio Fetcher", () => {
 			consoleInfoSpy.mockRestore()
 		})
 
-		it("should return an empty object and log error if listDownloadedModels fails", async () => {
+		it("should return an empty object and log error if listLoaded fails", async () => {
 			const consoleErrorSpy = vi.spyOn(console, "error").mockImplementation(() => {})
 			const listError = new Error("LMStudio SDK internal error")
 
diff --git a/src/api/providers/fetchers/lmstudio.ts b/src/api/providers/fetchers/lmstudio.ts
index 976822c67d..a9b98f64bc 100644
--- a/src/api/providers/fetchers/lmstudio.ts
+++ b/src/api/providers/fetchers/lmstudio.ts
@@ -71,24 +71,15 @@ export async function getLMStudioModels(baseUrl = "http://localhost:1234"): Prom
 
 		const client = new LMStudioClient({ baseUrl: lmsUrl })
 
-		// First, try to get all downloaded models
-		try {
-			const downloadedModels = await client.system.listDownloadedModels("llm")
-			for (const model of downloadedModels) {
-				// Use the model path as the key since that's what users select
-				models[model.path] = parseLMStudioModel(model)
-			}
-		} catch (error) {
-			console.warn("Failed to list downloaded models, falling back to loaded models only")
-		}
-		// We want to list loaded models *anyway* since they provide valuable extra info (context size)
+		// Only get loaded models - these are the only ones that can actually process requests
 		const loadedModels = (await client.llm.listLoaded().then((models: LLM[]) => {
 			return Promise.all(models.map((m) => m.getModelInfo()))
 		})) as Array<LLMInstanceInfo>
 
 		for (const lmstudioModel of loadedModels) {
-			models[lmstudioModel.modelKey] = parseLMStudioModel(lmstudioModel)
-			modelsWithLoadedDetails.add(lmstudioModel.modelKey)
+			// Use model.path as the consistent key to prevent duplicates
+			models[lmstudioModel.path] = parseLMStudioModel(lmstudioModel)
+			modelsWithLoadedDetails.add(lmstudioModel.path)
 		}
 	} catch (error) {
 		if (error.code === "ECONNREFUSED") {