Model comparison

Mistral Medium 3.1 vs Mistral Small

Mistral Small is the stronger model overall, scoring 33.1 to 31.5 on the Noometry Index.

Last verified . 0 shared benchmarks.

Mistral Medium 3.1 Mistral AI

31.5

Rank #260 Reported

Mistral Small Mistral AI

33.1

Rank #238 Confirmed

Summary

  • The widest gap is in reasoning, where Mistral Small leads 19.3 to 10.1.
  • Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
  • Mistral Small accepts more context: 256K tokens versus 131K.
  • Mistral Small has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.1 and Mistral Small specifications
Mistral Medium 3.1Mistral Small
ProviderMistral AIMistral AI
Noometry Index31.533.1
Released—2024-02-26
WeightsProprietaryOpen
Context window131K256K
Max output105K256K
Input $ / M tokens$0.40$0.15
Output $ / M tokens$2$0.60
Results tracked339

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Category by category

Coding Not comparable

Mistral Medium 3.1: —, Mistral Small: 33.5 (#242)

Coding benchmarks
BenchmarkMistral Medium 3.1Mistral Small
SciCode—26.5%
BigCodeBench Instruct—36.1%
LiveBench Coding—36.2%
LMArena Coding—1363
BigCodeBench Complete—46.6%
ALE-Bench—497.62

Agentic & Tool Use Not comparable

Mistral Medium 3.1: —, Mistral Small: 27.9 (#87)

Agentic & Tool Use benchmarks
BenchmarkMistral Medium 3.1Mistral Small
Berkeley Function Calling Leaderboard—37.1%

Reasoning Mistral Small leads

Mistral Medium 3.1: 10.1 (#336), Mistral Small: 19.3 (#238)

Reasoning benchmarks
BenchmarkMistral Medium 3.1Mistral Small
Kagi LLM Benchmark—37.8%
NYT Connections (extended)6.5%—
CritPt—0%
Thematic Generalization20.3%—
LiveBench Reasoning—44.8%
LMArena Hard Prompts—1336
DTBench—70.9%
LiveBench Data Analysis—53.7%
LMCA—20.6%
LiveBench—44%

Math Not comparable

Mistral Medium 3.1: —, Mistral Small: 15.4 (#287)

Math benchmarks
BenchmarkMistral Medium 3.1Mistral Small
OTIS Mock AIME 2024-2025—5.8%
LiveBench Math—39.9%
LMArena Math—1341
MATH Level 5—46.8%

Knowledge Not comparable

Mistral Medium 3.1: —, Mistral Small: 30.9 (#214)

Knowledge benchmarks
BenchmarkMistral Medium 3.1Mistral Small
GPQA Diamond—47.5%
Vectara Hallucination Rate—5.1%
LMArena Expert—1293
MMLU—68.7%

Multimodal Not comparable

Mistral Medium 3.1: —, Mistral Small: 32.9 (#91)

Multimodal benchmarks
BenchmarkMistral Medium 3.1Mistral Small
LMArena Vision—1142

Multilingual Not comparable

Mistral Medium 3.1: —, Mistral Small: 45.7 (#164)

Multilingual benchmarks
BenchmarkMistral Medium 3.1Mistral Small
LMArena Non-English—1315
LMArena Chinese—1342
LMArena French—1337
LMArena German—1341
LMArena Japanese—1275
LMArena Korean—1260
LMArena Russian—1324
LMArena Spanish—1346

Instruction Following Not comparable

Mistral Medium 3.1: —, Mistral Small: 66.6 (#204)

Instruction Following benchmarks
BenchmarkMistral Medium 3.1Mistral Small
LiveBench Instruction Following—63.7%
LMArena Instruction Following—1310

Long Context Not comparable

Mistral Medium 3.1: —, Mistral Small: 40.4 (#151)

Long Context benchmarks
BenchmarkMistral Medium 3.1Mistral Small
LMArena Longer Query—1327

Writing & Preference Mistral Medium 3.1 leads

Mistral Medium 3.1: 55.6 (#140), Mistral Small: 52.6 (#165)

Writing & Preference benchmarks
BenchmarkMistral Medium 3.1Mistral Small
LMArena Text—1338
LMArena Creative Writing—1304
EQ-Bench Creative Writing1476—
LMArena Multi-Turn—1344
LiveBench Language—30.5%

Frequently asked questions

Is Mistral Medium 3.1 better than Mistral Small?

Mistral Small is the stronger model overall, scoring 33.1 to 31.5 on the Noometry Index.

Which is cheaper, Mistral Medium 3.1 or Mistral Small?

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

Mistral Small does, with 256K tokens against 131K.

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

0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Mistral Small has 39.

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