Mistral Medium 3

Mistral Medium 3 delivers frontier performance while being an order of magnitude less expensive. For instance, the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks across the board at a significantly lower cost. On performance, Mistral Medium 3 also surpasses leading open models such as Llama 4 Maverick and enterprise models such as Cohere Command A. On pricing, the model beats cost leaders such as DeepSeek v3, both in API and self-deployed systems.

Added Sep 25, 2025

Pricing

Auto routing · per 1M tokens
Input
$0.40
Output
$2.00
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Specifications

Context window
131.1K
Max output
32.8K
Avg output (7d)
267 tokens
Longer than 22% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

9.0

Better than 35% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

24.3%

Better than 27% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

31.3%

Better than 30% of models compared

Reasoning

HLE

Humanity's Last Exam

4.1%

Better than 14% of models compared

IFBench

Instruction-following benchmark

39.3%

Better than 37% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

3.8%

Better than 26% of models compared

LiveCodeBench

Contamination-free coding benchmark

40.0%

Better than 47% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

30.3%

Better than 32% of models compared

AIME

American Invitational Mathematics Examination

44.0%

Better than 66% of models compared

Math-500

Diverse mathematical problem solving benchmark

90.7%

Better than 65% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

76.0%

Better than 52% of models compared

AA-Omniscience Accuracy

Proportion of correctly answered questions

18.3%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

60.9%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

57.8%

Better than 32% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

31.3%

Better than 30% of models compared

Last updated Oct 3, 2026

Artificial Analysis

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