--- title: Xiaomi: MiMo V2 Flash API | Text Generation | ModelsLab description: 309B MoE LLM with 15B active params, 256K context, 27T token training; excels in reasoning, coding, agents at 176 t/s speed.[1][2][3] url: https://modelslab.com/models/xiaomi/xiaomi-mimo-v2-flash.md canonical: https://modelslab.com/models/xiaomi/xiaomi-mimo-v2-flash.md type: product component: Playground/LLM/Index generated_at: 2026-04-15T00:10:44.465549Z --- Xiaomi: MiMo-V2-Flash --- [LLMs.txt](https://modelslab.com/models/open_router/xiaomi-mimo-v2-flash/llms.txt) [.md](https://modelslab.com/models/xiaomi/xiaomi-mimo-v2-flash.md) xiaomi-mimo-v2-flash xiaomi Closed Source Model $0.190000 / call Xiaomi: MiMo-V2-Flash --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### Xiaomi: MiMo-V2-Flash xiaomi xiaomi-mimo-v2-flash Copy model ID PricingInput $0.09 / 1M tokens Output $0.29 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. Temperature0.7 Max Tokens1000 Top P0.9 Frequency Penalty0 Presence Penalty0 Model Info Support Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [OG](https://modelslab.com/models/open_router/openai-gpt-4-turbo)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 Turbo Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-turbo) [MM](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.5)[Together AI](https://modelslab.com/models/together_ai) [MiniMax M2.5 FP4 Closed Source Model](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.5) [BU](https://modelslab.com/models/open_router/bytedance-ui-tars-1.5-7b)[Open Router](https://modelslab.com/models/open_router) [ByteDance: UI-TARS 7B Closed Source Model](https://modelslab.com/models/open_router/bytedance-ui-tars-1.5-7b) [ML](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta) [Meta Llama 3.1 70B Instruct Turbo Closed Source Model](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo) [XG](https://modelslab.com/models/open_router/x-ai-grok-code-fast-1)[Open Router](https://modelslab.com/models/open_router) [xAI: Grok Code Fast 1 Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-code-fast-1) [OG](https://modelslab.com/models/open_router/openai-gpt-5.2-chat)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.2 Chat Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.2-chat) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-mini)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o-mini Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-mini) [QQ](https://modelslab.com/models/open_router/qwen-qwen3.5-9b)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3.5-9B Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.5-9b) [QC](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-30B-A3B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 Coder 30B A3b Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-30B-A3B-Instruct) [ZG](https://modelslab.com/models/open_router/z-ai-glm-5-turbo)[Open Router](https://modelslab.com/models/open_router) [Z.ai: GLM 5 Turbo Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-5-turbo) [Q2](https://modelslab.com/models/together_ai/Qwen-Qwen3-235B-A22B-Instruct-2507-tput)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 235B A22B Instruct 2507 FP8 Throughput Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-235B-A22B-Instruct-2507-tput) [Q3](https://modelslab.com/models/together_ai/Qwen-Qwen3-30B-A3B-Instruct-2507-Lora)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 30B A3B Instruct 2507 Lora Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-30B-A3B-Instruct-2507-Lora) [ML](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct)[Open Router](https://modelslab.com/models/open_router) [Meta: Llama 3.1 8B Instruct Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct) [DD](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2-exp)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: DeepSeek V3.2 Exp Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2-exp) [AO](https://modelslab.com/models/open_router/allenai-olmo-3.1-32b-instruct)[Open Router](https://modelslab.com/models/open_router) [AllenAI: Olmo 3.1 32B Instruct Closed Source Model](https://modelslab.com/models/open_router/allenai-olmo-3.1-32b-instruct) [GG](https://modelslab.com/models/open_router/google-gemini-3.1-pro-preview-customtools)[Open Router](https://modelslab.com/models/open_router) [Google: Gemini 3.1 Pro Preview Custom Tools Closed Source Model](https://modelslab.com/models/open_router/google-gemini-3.1-pro-preview-customtools) [QQ](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-27b)[Alibaba](https://modelslab.com/models/alibaba_cloud) [Qwen: Qwen3.5-27B Closed Source Model](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-27b) [GG](https://modelslab.com/models/open_router/google-gemini-2.5-pro-preview)[Open Router](https://modelslab.com/models/open_router) [Google: Gemini 2.5 Pro Preview 06-05 Closed Source Model](https://modelslab.com/models/open_router/google-gemini-2.5-pro-preview) About Xiaomi: MiMo-V2-Flash --- MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a... ### Technical Specifications Model IDxiaomi-mimo-v2-flashCategoryLLM ModelsTaskText GenerationPrice$0.190000 per million tokensAddedFebruary 20, 2026 ### Key Features - Chat completion and multi-turn conversation API - Streaming response with token-by-token output - Function calling and tool use support - System prompts and role-based messaging - JSON mode and structured output ### Quick Start Integrate Xiaomi: MiMo-V2-Flash into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "xiaomi-mimo-v2-flash", "messages": [ { "role": "user", "content": "Hello!" } ], "max_tokens": 1000, "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` View the [full API documentation](https://modelslab.com/models/xiaomi/xiaomi-mimo-v2-flash/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Xiaomi: MiMo-V2-Flash API costs $0.190000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Xiaomi](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Xiaomi: MiMo-V2-Flash FAQ --- ### What is Xiaomi: MiMo-V2-Flash? MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a... ### How do I use the Xiaomi: MiMo-V2-Flash API? You can integrate Xiaomi: MiMo-V2-Flash into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "xiaomi-mimo-v2-flash" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Xiaomi: MiMo-V2-Flash cost? Xiaomi: MiMo-V2-Flash costs $0.190000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Xiaomi: MiMo-V2-Flash model ID? The model ID for Xiaomi: MiMo-V2-Flash is "xiaomi-mimo-v2-flash". Use this ID in your API requests to specify this model. ### Does Xiaomi: MiMo-V2-Flash have a free tier? Yes, ModelsLab offers a free tier that lets you try Xiaomi: MiMo-V2-Flash and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-04-15*