Model comparison

Magistral Small vs Mistral Small 3.1

Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 30.2 on the Noometry Index.

Last verified . 4 shared benchmarks.

Magistral Small Mistral AI

30.2

Rank #296 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Magistral Small scores higher in 3 categories and Mistral Small 3.1 in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Mistral Small 3.1 leads 19.7 to 6.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30% for Magistral Small and 3.9% for Mistral Small 3.1.
  • Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.

Side by side

Magistral Small and Mistral Small 3.1 specifications
Magistral SmallMistral Small 3.1
ProviderMistral AIMistral AI
Noometry Index30.231.7
Released2025-06-102025-03-17
WeightsOpenOpen
Context window128K128K
Max output40K102K
Input $ / M tokens$0.50$0.35
Output $ / M tokens$1.50$0.56
Results tracked1028

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Category by category

Coding Too close to call

Magistral Small: 38.4 (#176), Mistral Small 3.1: 38.3 (#179)

Coding benchmarks
BenchmarkMagistral SmallMistral Small 3.1
SciCode35.2%—
LMArena Coding—1309

Reasoning Mistral Small 3.1 leads

Magistral Small: 6.8 (#350), Mistral Small 3.1: 19.7 (#254)

Reasoning benchmarks
BenchmarkMagistral SmallMistral Small 3.1
Chess Puzzles3%1%
Epoch Capabilities Index133.19127.48
ARC-AGI-20%—
Kagi LLM Benchmark6.3%—
ARC-AGI-15%—
CritPt0.3%—
LMArena Hard Prompts—1278
DTBench61.3%—

Math Magistral Small leads

Magistral Small: 26.2 (#261), Mistral Small 3.1: 14.7 (#301)

Math benchmarks
BenchmarkMagistral SmallMistral Small 3.1
OTIS Mock AIME 2024-202530%3.9%
Omni-MATH—24.8%
LMArena Math—1262

Knowledge Magistral Small leads

Magistral Small: 30.9 (#223), Mistral Small 3.1: 22.6 (#271)

Knowledge benchmarks
BenchmarkMagistral SmallMistral Small 3.1
GPQA Diamond56.1%41.9%
MMLU-Pro—61%
GPQA (HELM)—39.2%
LMArena Expert—1257

Multimodal Not comparable

Magistral Small: —, Mistral Small 3.1: 33.2 (#99)

Multimodal benchmarks
BenchmarkMagistral SmallMistral Small 3.1
LMArena Vision—1136

Multilingual Not comparable

Magistral Small: —, Mistral Small 3.1: 41.2 (#209)

Multilingual benchmarks
BenchmarkMagistral SmallMistral Small 3.1
LMArena Non-English—1255
LMArena Chinese—1253
LMArena French—1273
LMArena German—1266
LMArena Japanese—1208
LMArena Korean—1206
LMArena Russian—1263
LMArena Spanish—1283

Instruction Following Not comparable

Magistral Small: —, Mistral Small 3.1: 63.6 (#230)

Instruction Following benchmarks
BenchmarkMagistral SmallMistral Small 3.1
IFEval—75%
LMArena Instruction Following—1264

Long Context Not comparable

Magistral Small: —, Mistral Small 3.1: 39.5 (#178)

Long Context benchmarks
BenchmarkMagistral SmallMistral Small 3.1
LMArena Longer Query—1299

Writing & Preference Not comparable

Magistral Small: —, Mistral Small 3.1: 37.0 (#259)

Writing & Preference benchmarks
BenchmarkMagistral SmallMistral Small 3.1
LMArena Text—1277
LMArena Creative Writing—1253
EQ-Bench Creative Writing—761
WildBench—78.8%
LMArena Multi-Turn—1270

Frequently asked questions

Is Magistral Small better than Mistral Small 3.1?

Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 30.2 on the Noometry Index.

Which is cheaper, Magistral Small or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Magistral Small lists at $0.50 and $1.50.

Is Magistral Small or Mistral Small 3.1 better for coding?

They score almost the same on coding (38.4 vs 38.3); test both on your own repository before choosing.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do Magistral Small and Mistral Small 3.1 share?

4 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and Mistral Small 3.1 has 28.

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