--- title: Mistral: Mistral Medium 3.1 | Text Generation | ModelsLab description: Frontier-class multimodal LLM with 128k context window, 45+ tokens/sec speed, text/image processing, function calling—delivers top reasoning/coding. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/mistralai/mistralai-mistral-medium-3.1/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/mistralai/mistralai-mistral-medium-3.1/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:43:46.547893Z --- Mistral: Mistral Medium 3.1 --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3.1/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/mistralai/mistralai-mistral-medium-3.1.md) mistralai-mistral-medium-3.1 mistralai Closed Source Model $1.200000 / call Mistral: Mistral Medium 3.1 --- 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 ### Mistral: Mistral Medium 3.1 mistralai mistralai-mistral-medium-3.1 Copy model ID PricingInput $0.40 / 1M tokens Output $2.00 / 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. 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[![GPT-5-nano](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/264a17fd-e3e6-4145-a644-88e3c644638f.webp)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5-nano)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai) [GPT-5-nano Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5-nano) About Mistral: Mistral Medium 3.1 --- Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances... ### Technical Specifications Model IDmistralai-mistral-medium-3.1CategoryLLM ModelsTaskText GenerationPrice$1.200000 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 Mistral: Mistral Medium 3.1 into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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": "mistralai-mistral-medium-3.1", "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-frontend-v2-927501783998.us-east4.run.app/models/mistralai/mistralai-mistral-medium-3.1/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Mistral: Mistral Medium 3.1 API costs $1.200000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Mistralai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) Mistral: Mistral Medium 3.1 FAQ --- ### What is Mistral: Mistral Medium 3.1? Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances... ### How do I use the Mistral: Mistral Medium 3.1 API? You can integrate Mistral: Mistral Medium 3.1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "mistralai-mistral-medium-3.1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Mistral: Mistral Medium 3.1 cost? Mistral: Mistral Medium 3.1 costs $1.200000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Mistral: Mistral Medium 3.1 model ID? The model ID for Mistral: Mistral Medium 3.1 is "mistralai-mistral-medium-3.1". Use this ID in your API requests to specify this model. ### Does Mistral: Mistral Medium 3.1 have a free tier? Yes, ModelsLab offers a free tier that lets you try Mistral: Mistral Medium 3.1 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 - 2026-05-13*