Mistral Models
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Mistral Medium 3.1

by Mistral

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 state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3.1 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.

Chat with Mistral Medium 3.1
Input Price$0.40/1M tokens
Output Price$2.00/1M tokens
Intelligence21.1
Coding18.3

Specifications

Technical details and pricing.

ProviderMistral
Context Window131,072 tokens
Release DateAug 12, 2025
ModalitiesText, Image → Text
CapabilitiesVision

Benchmarks

10 benchmark scores from Artificial Analysis.

GPQA58.8%
MMLU Pro68.3%
HLE4.4%
LiveCodeBench40.6%
AIME 202538.3%
SciCode33.8%
LCR19.7%
IFBench39.8%
Tau240.6%
TerminalBench Hard10.6%

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Frequently Asked Questions

What is Mistral Medium 3.1 good for?

Use Mistral Medium 3.1 for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Mistral Medium 3.1 cost?

Pricing is based on usage. Current rates are $0.40/1M tokens for input and $2.00/1M tokens for output.

Can I try Mistral Medium 3.1 for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does Mistral Medium 3.1 support images or audio?

Mistral Medium 3.1 can understand images.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.