Mistral Medium 3

Mistral Medium 3 is a non-reasoning model from Mistral. 13 benchmarks count toward its score, in 6 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.30.5 ±7.0
CoverageShare of the index weight with results.75%
SpeedOutput tokens per second.35/s
Input / 1MUS dollars per 1M input tokens.$0.4
Output / 1MUS dollars per 1M output tokens.$2
ContextMaximum tokens in one request.131K
EloLMArena rating and rank.N/A

The index is a score out of 100. The ± range shows how much it can change.

CapabilitiesScore per category, out of 100.

Out of 100
AgenticMulti-step tasks with tools.
16.3
CodingCode writing and repair.
N/A
ReasoningLogic problems and puzzles.
34.1
MultimodalTasks with images and text.
31.9
KnowledgeFacts and expert knowledge.
32.0
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
29.0
MathMath problems.
33.1

Results

13 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result as a score out of 100.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
MATH level 5Math81.6%38.8Epoch AI
GPQA diamondKnowledge59.5%33.2Epoch AI
Artificial Analysis GPQA DiamondKnowledge57.8%27.8Artificial Analysis
Artificial Analysis MMMU-ProMultimodal53.0%31.9Artificial Analysis
Artificial Analysis IFBenchInstruction39.3%29.0Artificial Analysis
OTIS Mock AIME 2024-2025Math32.2%29.6Epoch AI
Artificial Analysis Long Context ReasoningReasoning31.3%29.9Artificial Analysis
τ²-Bench Tool-Agent-User EvaluationAgentic24.3%16.3Victor Barres et al.
Artificial Analysis Omniscience AccuracyKnowledge18.3%36.5Artificial Analysis
Artificial Analysis Intelligence IndexKnowledge9.1%33.7Artificial Analysis
Artificial Analysis Humanity's Last ExamKnowledge4.1%29.0Artificial Analysis
FrontierMath-2025-02-28-PrivateMath0.3%31.0Epoch AI
Critical Physics TasksReasoning0.0%38.4Artificial Analysis

13 benchmarks count, from 13 of 13 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsOpenRouter, collected directlyNo licence statedEpoch AI, collected directlyCC BY — free to use and redistribute with attribution

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