Mistral Medium 3

Mistral AI
Mistral Medium 3 launch post cover

Cost/1M tokens

input
$0.40
cached
$0.04
output
$2.00
Context
131Ktokens
Released
1y ago

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Arena leaderboards and other sourced evaluations appear below; missing scores are not zero.

How it ranks

Against its predecessor, similarly priced models and the models ranked around it.

DeepSWE 1.1

Best pass@1 per model · Higher is better

Not evaluated in DeepSWE 1.1

Arena Text

Best Arena rating per model · Higher is better

Arena #188

  1. 1455
  2. 1434
    MiMo-V2.5Similar price
  3. 1409
    Qwen3.5-27BSimilar price
  4. 1388
  5. 1387
    Solar Pro 4Nearby rank
  6. 1387
    Mistral Medium 3
  7. 1383
    GPT-4.1 MiniNearby rank
  8. 1382
  9. 1335
    Nova 2 LiteSimilar price

Ahead of 1 of 4 similarly priced models

Arena WebDev

Best Arena rating per model · Higher is better

Not ranked on Arena WebDev yet

Arena Vision

Best Arena rating per model · Higher is better

Arena #116

  1. 1266
  2. 1234
    MiMo-V2.5Similar price
  3. 1216
    Qwen3.5-27BSimilar price
  4. 1160
    Gemma 3 27BNearby rank
  5. 1160
  6. 1155
    Mistral Medium 3
  7. 1153
    GLM 4.5VSimilar price
  8. 1147
    GPT-5 NanoNearby rank

Ahead of 0 of 4 similarly priced models

Arena Search

Best Arena rating per model · Higher is better

Not ranked on Arena Search yet

Arena Document

Best Arena rating per model · Higher is better

Not ranked on Arena Document yet

Agent Arena

Best IPS score per model · Higher is better

Not ranked on Agent Arena yet

FrontierMath-2025-02-28-Private

Best score per model · Higher is better

#52 of 58

  1. 26.2%
    Qwen3.6 PlusSimilar price
  2. 4.8%
    Gemini 2.5 FlashSimilar price
  3. 4.5%
    GPT-4.1 MiniSimilar price
  4. 3.8%
    GLM 4.6Similar price
  5. 1.0%
    Qwen MaxNearby rank
  6. 1.0%
    GPT-4.1 NanoNearby rank
  7. 0.3%
    Mistral Medium 3
  8. 0.3%
    Claude Haiku 3.5Nearby rank
  9. 0.3%

Ahead of 0 of 4 similarly priced models

GPQA diamond

Best score per model · Higher is better

#123 of 161

  1. 88.4%
    Qwen3.6 PlusSimilar price
  2. 83.3%
  3. 76.3%
    R1 0528Similar price
  4. 60.8%
    gpt-oss-20bNearby rank
  5. 60.5%
    GLM 4.7 FlashNearby rank
  6. 59.5%
    Mistral Medium 3
  7. 56.8%
    Qwen3 8BNearby rank
  8. 56.1%
    Qwen MaxNearby rank
  9. 44.2%
  10. 15.2%

+44.4 pts vs Mistral 7B Instruct v0.3 (predecessor) · Ahead of 1 of 4 similarly priced models

Humanity's Last Exam

Best score per model · Higher is better

#32 of 34

  1. 24.4%
    Kimi K2.5Similar price
  2. 19.4%
    GPT-5 MiniSimilar price
  3. 8.6%
  4. 8.3%
    GLM 4.5Similar price
  5. 5.5%
    Claude Sonnet 4Nearby rank
  6. 5.4%
    GPT-4.1Nearby rank
  7. 4.5%
    Mistral Medium 3
  8. 4.1%
  9. 2.7%

Ahead of 0 of 4 similarly priced models

OTIS Mock AIME 2024-2025

Best score per model · Higher is better

#126 of 158

  1. 93.3%
    Qwen3.6 PlusSimilar price
  2. 71.1%
  3. 66.4%
    R1 0528Similar price
  4. 38.3%
    GPT-4.1Nearby rank
  5. 37.8%
    DeepSeek V3 0324Nearby rank
  6. 32.2%
    Mistral Medium 3
  7. 30.0%
    Magistral SmallNearby rank
  8. 28.9%
    GPT-4.1 NanoNearby rank
  9. 3.6%
  10. 0.3%

+31.9 pts vs Mistral 7B Instruct v0.3 (predecessor) · Ahead of 1 of 4 similarly priced models

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

All published scores

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

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