Magistral Small 1.2

Mistral AI
Magistral Small 1.2 launch post cover
Context
131Ktokens
Released
1y ago
Size
24Bparameters

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

Not ranked on Arena Text yet

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

Not ranked on Arena Vision yet

Arena Search

Best Arena rating per model · Higher is better

Not ranked on Arena Search yet

Agent Arena

Best IPS score per model · Higher is better

Not ranked on Agent Arena yet

GPQA diamond

Best score per model · Higher is better

#142 of 161

  1. 86.2%
    GPT-5Similar release date
  2. 82.3%
    Claude Sonnet 4.5Similar release date
  3. 77.6%
    Seed 1.6Similar release date
  4. 72.6%
    Qwen3 MaxSimilar release date
  5. 47.9%
  6. 47.7%
    Gemma 3 27BNearby rank
  7. 47.6%
    Magistral Small 1.2
  8. 47.4%
  9. 44.2%

Ahead of 0 of 4 models released around the same time

OTIS Mock AIME 2024-2025

Best score per model · Higher is better

#130 of 158

  1. 91.4%
    GPT-5Similar release date
  2. 77.8%
    Claude Sonnet 4.5Similar release date
  3. 73.3%
    Qwen3 MaxSimilar release date
  4. 69.4%
    Seed 1.6Similar release date
  5. 30.0%
    Magistral SmallNearby rank
  6. 28.9%
    GPT-4.1 NanoNearby rank
  7. 28.1%
    Magistral Small 1.2
  8. 22.5%
    Gemma 3 27BNearby rank
  9. 17.8%
    Qwen-PlusNearby rank

Ahead of 0 of 4 models released around the same time

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.

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