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Mistral: Mistral Medium 3.5

mistralai/mistral-medium-3-5

Released Apr 30, 2026262,144 context$1.50/M input tokens$7.50/M output tokens

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.

Performance for Mistral Medium 3.5

Compare different providers across OpenRouter

Effective Pricing for Mistral Medium 3.5

Actual cost per million tokens across providers over the past hour

Apps using Mistral Medium 3.5

Top public apps this month

Recent activity on Mistral Medium 3.5

Total usage per day on OpenRouter

Prompt
2.51M
Reasoning
94K
Completion
91K

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Mistral Medium 3.5

Uptime stats for Mistral Medium 3.5 across all providers

Providers for Mistral Medium 3.5

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Sample code and API for Mistral Medium 3.5

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.