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
Specifications
- Context window
- 131.1K
- Max output
- 32.8K
- Avg output (7d)
- 267 tokens
- Longer than 22% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
9.0
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
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