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Model details

Mistral Medium 3.1

Mistral Medium 3.1 is the successor to Mistral Medium 3, positioned by Mistral as a frontier-class multimodal model aimed at enterprise workloads where strong general reasoning needs to be balanced against operational cost. Mistral's own documentation frames it as an upgraded release focused on improved tone and overall performance, while third-party catalogs describe it as delivering frontier-level capabilities at a notably lower price point than larger alternatives, making it a pragmatic middle-ground option for teams that want flagship-tier behavior without flagship-tier spend.

In practical terms, the model accepts text, image, and document inputs and returns text, and its feature surface on the official API includes function calling, structured outputs, predicted outputs, and document Q&A. It supports tool calling and structured outputs and is well suited to image understanding, long-form document handling, agent-style workflows that invoke external tools, and applications that require deterministic, schema-validated responses. Mistral's docs mark the model for deprecation on May 22, 2026, with its successor already designated, so it fits best as a short-to-medium-term workhorse for production systems that can plan a migration path to the newer Medium release.

OpenRoutermistralai/mistral-medium-3.1mistral-medium

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Provider
OpenRouter
Model key
mistralai/mistral-medium-3.1
Release date
Aug 13, 2025
Last updated
Aug 13, 2025
Knowledge cutoff
2025-06-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.40
Output token cost
$2.00

Limits

Output tokens
104,857 tokens
Context window
131,072 tokens

Transparent token rates

Compare Mistral Medium 3.1 pricing

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

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Latest news about Mistral Medium 3.1

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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. $0.40 per million input tokens, $2 per million output tokens. 131,072 token context window. Includes indepe

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