Mistral Medium 3.1

Mistral AI
Mistral Medium 3.1 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 #159

  1. 1455
  2. 1434
    MiMo-V2.5Similar price
  3. 1409
    Hy3 previewNearby rank
  4. 1409
    Qwen3.5-27BSimilar price
  5. 1408
    Mistral Medium 3.1
  6. 1405
    Inkling SmallNearby rank
  7. 1405
  8. 1387
    Mistral Medium 3Predecessor
  9. 1335
    Nova 2 LiteSimilar price

+21 vs Mistral Medium 3 (predecessor) · 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 #114

  1. 1266
  2. 1234
    MiMo-V2.5Similar price
  3. 1216
    Qwen3.5-27BSimilar price
  4. 1161
    GLM 4.6VNearby rank
  5. 1160
    Gemma 3 27BNearby rank
  6. 1160
    Mistral Medium 3.1
  7. 1155
    Mistral Medium 3Predecessor
  8. 1153
    GLM 4.5VSimilar price

Level with Mistral Medium 3 (predecessor, overlapping 95% CIs) · 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

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

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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