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Mistral Medium 3.1

Mistral Medium 3.1 is positioned by Mistral as a frontier-class multimodal model, released in August 2025 with emphasis on improved tone and performance over its predecessor. It carries a 128k token context window, allowing it to ingest and reason over long documents, codebases, or multi-turn conversations without losing earlier context. Through third-party gateways, the model is exposed with tool use and vision capabilities, broadening its utility for agents that need to call external functions or interpret images alongside text. Multilingual output is a clear design focus, with native support across English, French, Italian, German, and Spanish, plus strong handling of code, making it well suited to international products and developer tooling that crosses language boundaries.

The model's feature set as documented reflects a production-oriented design: structured outputs, function calling, predicted outputs, and document question-answering are all available through standard chat completions and conversations endpoints. This combination makes Mistral Medium 3.1 a flexible choice for teams building retrieval-augmented chatbots, workflow automations, and analytical assistants where reliable schema-conformant responses and tool orchestration matter. For developers, the practical fit is strongest in mixed-language environments and applications that benefit from its long context, such as contract analysis, technical documentation Q&A, and code-assisted development. Teams should be aware of the documented lifecycle status indicating a deprecation path toward Mistral Medium 3.5, so long-term planning should account for that migration window.

NanoGPTmistralai/mistral-medium-3.1mistral-medium

Quick Info

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Provider
NanoGPT
Model key
mistralai/mistral-medium-3.1
Release date
Sep 5, 2025
Last updated
Sep 5, 2025
Input modalities
Output modalities
Capabilities
Base catalog fields only

Cost

Input token cost
$0.40
Output token cost
$2.00

Limits

Input tokens
131,072 tokens
Output tokens
32,768 tokens
Context window
131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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