feat(models): add Xiaomi MiMo model family

.env.example

@@ -170,6 +170,10 @@ LLM_GROQ_API_KEY=your_groq_key_here
 # DeepSeek
 LLM_DEEPSEEK_API_KEY=your_deepseek_key_here
 
+# Xiaomi MiMo
+LLM_XIAOMI_API_KEY=your_xiaomi_key_here
+# LLM_XIAOMI_BASE_URL=https://api.xiaomimimo.com
+
 # Perplexity
 LLM_PERPLEXITY_API_KEY=your_perplexity_key_here
 

.env.unified.example

@@ -83,6 +83,10 @@ LLM_GROQ_API_KEY=your_groq_key_here
 # DeepSeek
 LLM_DEEPSEEK_API_KEY=your_deepseek_key_here
 
+# Xiaomi MiMo
+LLM_XIAOMI_API_KEY=your_xiaomi_key_here
+# LLM_XIAOMI_BASE_URL=https://api.xiaomimimo.com
+
 # Perplexity
 LLM_PERPLEXITY_API_KEY=your_perplexity_key_here
 

.github/workflows/e2e.yml

@@ -83,6 +83,7 @@ jobs:
           LLM_EMBERCLOUD_API_KEY: ${{ secrets.LLM_EMBERCLOUD_API_KEY }}
           LLM_ALIBABA_API_KEY__US_VIRGINIA: ${{ secrets.LLM_ALIBABA_API_KEY__US_VIRGINIA }}
           LLM_ALIBABA_API_KEY__CN_BEIJING: ${{ secrets.LLM_ALIBABA_API_KEY__CN_BEIJING }}
+          LLM_XIAOMI_API_KEY: ${{ secrets.LLM_XIAOMI_API_KEY }}
 
       - name: Upload shard results
         if: always()

apps/gateway/src/chat/tools/transform-streaming-to-openai.ts

@@ -1304,6 +1304,7 @@ export function transformStreamingToOpenai(
 		case "bytedance":
 		case "minimax":
 		case "embercloud":
+		case "xiaomi":
 		case "azure-ai-foundry":
 		case "llmgateway": {
 			// Azure AI Foundry mirrors Azure OpenAI's prompt-filter-only leading

apps/ui/src/components/provider-keys/provider-logo.ts

@@ -26,7 +26,12 @@ export const providerLogoUrls: Partial<
 	nanogpt: ProviderIcons.nanogpt,
 	"aws-bedrock": ProviderIcons["aws-bedrock"],
 	azure: ProviderIcons.azure,
+	"azure-ai-foundry": ProviderIcons["azure-ai-foundry"],
 	cerebras: ProviderIcons.cerebras,
+	minimax: ProviderIcons.minimax,
+	bytedance: ProviderIcons.bytedance,
+	xiaomi: ProviderIcons.xiaomi,
+	embercloud: ProviderIcons.embercloud,
 };
 
 export const getProviderLogoDarkModeClasses = () => {

packages/actions/src/get-provider-endpoint.spec.ts

@@ -10,6 +10,7 @@ const originalVertexRegion = process.env.LLM_GOOGLE_VERTEX_REGION;
 const originalAzureFoundryResource = process.env.LLM_AZURE_AI_FOUNDRY_RESOURCE;
 const originalAzureFoundryApiVersion =
 	process.env.LLM_AZURE_AI_FOUNDRY_API_VERSION;
+const originalXiaomiBaseUrl = process.env.LLM_XIAOMI_BASE_URL;
 
 afterEach(() => {
 	if (originalAiStudioBaseUrl === undefined) {
@@ -54,6 +55,12 @@ afterEach(() => {
 		process.env.LLM_AZURE_AI_FOUNDRY_API_VERSION =
 			originalAzureFoundryApiVersion;
 	}
+
+	if (originalXiaomiBaseUrl === undefined) {
+		delete process.env.LLM_XIAOMI_BASE_URL;
+	} else {
+		process.env.LLM_XIAOMI_BASE_URL = originalXiaomiBaseUrl;
+	}
 });
 
 describe("getProviderEndpoint", () => {
@@ -249,6 +256,46 @@ describe("getProviderEndpoint", () => {
 		});
 	});
 
+	describe("xiaomi", () => {
+		it("builds the default Xiaomi endpoint", () => {
+			delete process.env.LLM_XIAOMI_BASE_URL;
+
+			const endpoint = getProviderEndpoint(
+				"xiaomi",
+				undefined,
+				"mimo-v2.5-pro",
+			);
+
+			expect(endpoint).toBe("https://api.xiaomimimo.com/v1/chat/completions");
+		});
+
+		it("uses custom base URL when provided", () => {
+			const endpoint = getProviderEndpoint(
+				"xiaomi",
+				"https://custom-xiaomi.example.com",
+				"mimo-v2-flash",
+			);
+
+			expect(endpoint).toBe(
+				"https://custom-xiaomi.example.com/v1/chat/completions",
+			);
+		});
+
+		it("builds streaming endpoint", () => {
+			delete process.env.LLM_XIAOMI_BASE_URL;
+
+			const endpoint = getProviderEndpoint(
+				"xiaomi",
+				undefined,
+				"mimo-v2.5",
+				undefined,
+				true,
+			);
+
+			expect(endpoint).toBe("https://api.xiaomimimo.com/v1/chat/completions");
+		});
+	});
+
 	describe("skipEnvVars (BYOK mode)", () => {
 		it("uses hardcoded default for google-ai-studio instead of env var", () => {
 			process.env.LLM_GOOGLE_AI_STUDIO_BASE_URL =

packages/actions/src/get-provider-endpoint.ts

@@ -228,6 +228,14 @@ export function getProviderEndpoint(
 			case "minimax":
 				url = "https://api.minimax.io";
 				break;
+			case "xiaomi":
+				url =
+					envValueOrDefault(
+						"xiaomi",
+						"baseUrl",
+						"https://api.xiaomimimo.com",
+					) ?? "https://api.xiaomimimo.com";
+				break;
 			case "aws-bedrock":
 				url =
 					envValueOrDefault(
@@ -487,6 +495,7 @@ export function getProviderEndpoint(
 		case "nebius":
 		case "nanogpt":
 		case "minimax":
+		case "xiaomi":
 		case "embercloud":
 		case "custom":
 		default:

packages/models/src/models.ts

@@ -13,6 +13,7 @@ import { nousresearchModels } from "./models/nousresearch.js";
 import { openaiModels } from "./models/openai.js";
 import { perplexityModels } from "./models/perplexity.js";
 import { xaiModels } from "./models/xai.js";
+import { xiaomiModels } from "./models/xiaomi.js";
 import { zaiModels } from "./models/zai.js";
 
 import type { providers } from "./providers.js";
@@ -433,6 +434,7 @@ export const models = [
 	...googleModels,
 	...perplexityModels,
 	...xaiModels,
+	...xiaomiModels,
 	...metaModels,
 	...deepseekModels,
 	...mistralModels,

packages/models/src/models/xiaomi.ts

@@ -0,0 +1,179 @@
+import type { ModelDefinition } from "@/models.js";
+
+export const xiaomiModels = [
+	{
+		id: "mimo-v2.5-pro",
+		name: "MiMo V2.5 Pro",
+		description:
+			"Xiaomi's flagship 1T-parameter model with 42B activations, 1M ultra-long context, and deep thinking capabilities. Performs comparably to Claude Opus 4.6 in agent scenarios.",
+		family: "xiaomi",
+		releasedAt: new Date("2026-04-23"),
+		providers: [
+			{
+				providerId: "xiaomi" as const,
+				modelName: "mimo-v2.5-pro",
+				inputPrice: 1 / 1e6,
+				outputPrice: 3 / 1e6,
+				cachedInputPrice: 0.2 / 1e6,
+				requestPrice: 0,
+				contextSize: 1000000,
+				maxOutput: 131072,
+				streaming: true,
+				reasoning: true,
+				vision: false,
+				tools: true,
+				jsonOutput: true,
+				pricingTiers: [
+					{
+						name: "256K",
+						upToTokens: 256000,
+						inputPrice: 1 / 1e6,
+						outputPrice: 3 / 1e6,
+						cachedInputPrice: 0.2 / 1e6,
+					},
+					{
+						name: "1M",
+						upToTokens: 1000000,
+						inputPrice: 2 / 1e6,
+						outputPrice: 6 / 1e6,
+						cachedInputPrice: 0.4 / 1e6,
+					},
+				],
+			},
+		],
+	},
+	{
+		id: "mimo-v2-pro",
+		name: "MiMo V2 Pro",
+		description:
+			"Xiaomi's 1T-parameter model with 42B active parameters and 1M context window using hybrid Global Attention + SWA architecture.",
+		family: "xiaomi",
+		releasedAt: new Date("2026-03-18"),
+		providers: [
+			{
+				providerId: "xiaomi" as const,
+				modelName: "mimo-v2-pro",
+				inputPrice: 1 / 1e6,
+				outputPrice: 3 / 1e6,
+				cachedInputPrice: 0.2 / 1e6,
+				requestPrice: 0,
+				contextSize: 1000000,
+				maxOutput: 131072,
+				streaming: true,
+				reasoning: true,
+				vision: false,
+				tools: true,
+				jsonOutput: true,
+				pricingTiers: [
+					{
+						name: "256K",
+						upToTokens: 256000,
+						inputPrice: 1 / 1e6,
+						outputPrice: 3 / 1e6,
+						cachedInputPrice: 0.2 / 1e6,
+					},
+					{
+						name: "1M",
+						upToTokens: 1000000,
+						inputPrice: 2 / 1e6,
+						outputPrice: 6 / 1e6,
+						cachedInputPrice: 0.4 / 1e6,
+					},
+				],
+			},
+		],
+	},
+	{
+		id: "mimo-v2.5",
+		name: "MiMo V2.5",
+		description:
+			"Xiaomi's full-modal perception model supporting native understanding of images, videos, audio, and text with 1M context. Agent performance comparable to MiMo V2.5 Pro.",
+		family: "xiaomi",
+		releasedAt: new Date("2026-04-23"),
+		providers: [
+			{
+				providerId: "xiaomi" as const,
+				modelName: "mimo-v2.5",
+				inputPrice: 0.4 / 1e6,
+				outputPrice: 2 / 1e6,
+				cachedInputPrice: 0.08 / 1e6,
+				requestPrice: 0,
+				contextSize: 1000000,
+				maxOutput: 131072,
+				streaming: true,
+				reasoning: true,
+				vision: true,
+				tools: true,
+				jsonOutput: true,
+				pricingTiers: [
+					{
+						name: "256K",
+						upToTokens: 256000,
+						inputPrice: 0.4 / 1e6,
+						outputPrice: 2 / 1e6,
+						cachedInputPrice: 0.08 / 1e6,
+					},
+					{
+						name: "1M",
+						upToTokens: 1000000,
+						inputPrice: 0.8 / 1e6,
+						outputPrice: 4 / 1e6,
+						cachedInputPrice: 0.16 / 1e6,
+					},
+				],
+			},
+		],
+	},
+	{
+		id: "mimo-v2-omni",
+		name: "MiMo V2 Omni",
+		description:
+			"Xiaomi's multimodal model supporting text, vision, and speech modalities with 256K context window.",
+		family: "xiaomi",
+		releasedAt: new Date("2026-03-18"),
+		providers: [
+			{
+				providerId: "xiaomi" as const,
+				modelName: "mimo-v2-omni",
+				inputPrice: 0.4 / 1e6,
+				outputPrice: 2 / 1e6,
+				cachedInputPrice: 0.08 / 1e6,
+				requestPrice: 0,
+				contextSize: 256000,
+				maxOutput: 131072,
+				streaming: true,
+				reasoning: false,
+				vision: true,
+				tools: true,
+				jsonOutput: true,
+			},
+		],
+	},
+	{
+		id: "mimo-v2-flash",
+		name: "MiMo V2 Flash",
+		description:
+			"Xiaomi's high-efficiency inference model with hybrid architecture, 3 MTP layers for 2.5-3.7x faster inference, and 256K context.",
+		family: "xiaomi",
+		releasedAt: new Date("2025-12-16"),
+		providers: [
+			{
+				providerId: "xiaomi" as const,
+				modelName: "mimo-v2-flash",
+				inputPrice: 0.1 / 1e6,
+				outputPrice: 0.3 / 1e6,
+				// Flash model uses a 10% cache discount (not 20% like other MiMo models)
+				cachedInputPrice: 0.01 / 1e6,
+				requestPrice: 0,
+				contextSize: 256000,
+				maxOutput: undefined,
+				streaming: true,
+				reasoning: true,
+				reasoningOutput: "omit" as const,
+				vision: false,
+				tools: true,
+				jsonOutput: true,
+			},
+		],
+	},
+] as const satisfies ModelDefinition[];

packages/models/src/providers.ts

@@ -566,6 +566,25 @@ export const providers = [
 		website: "https://www.embercloud.ai",
 		announcement: null,
 	},
+	{
+		id: "xiaomi",
+		name: "Xiaomi",
+		description:
+			"Xiaomi MiMo API Open Platform provides access to the MiMo series of large language models.",
+		env: {
+			required: {
+				apiKey: "LLM_XIAOMI_API_KEY",
+			},
+			optional: {
+				baseUrl: "LLM_XIAOMI_BASE_URL",
+			},
+		},
+		streaming: true,
+		cancellation: true,
+		color: "#FF6900",
+		website: "https://platform.xiaomimimo.com",
+		announcement: null,
+	},
 ] as const satisfies ProviderDefinition[];
 
 export type ProviderId = (typeof providers)[number]["id"];