Model comparison

Mistral Small 3.2 vs Mixtral 8x22B

Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 26.7 on the Noometry Index.

Last verified . 2 shared benchmarks.

Mistral Small 3.2 Mistral AI

30.8

Rank #271 Confirmed

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Mistral Small 3.2 scores higher in 3 categories and Mixtral 8x22B in 1 category; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mistral Small 3.2 leads 26.8 to 15.1.
  • The biggest single-benchmark swing is GPQA Diamond: 49.1% for Mistral Small 3.2 and 34.1% for Mixtral 8x22B.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 64K.

Side by side

Mistral Small 3.2 and Mixtral 8x22B specifications
Mistral Small 3.2Mixtral 8x22B
ProviderMistral AIMistral AI
Noometry Index30.826.7
Released2025-06-202024-04-17
WeightsOpenOpen
Context window256K64K
Max output16K64K
Input $ / M tokens$0.0938$2
Output $ / M tokens$0.25$6
Results tracked634

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Category by category

Coding Not comparable

Mistral Small 3.2: —, Mixtral 8x22B: 23.8 (#324)

Coding benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
WeirdML—3.2%
BigCodeBench Instruct—40.6%
LMArena Coding—1166
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Mistral Small 3.2: —, Mixtral 8x22B: 22.8 (#119)

Agentic & Tool Use benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
Cybench—7.5%

Reasoning Mixtral 8x22B leads

Mistral Small 3.2: 17.5 (#282), Mixtral 8x22B: 19.1 (#246)

Reasoning benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
Epoch Capabilities Index131.73122
Kagi LLM Benchmark40.4%—
Chess Puzzles1%—
LMArena Hard Prompts—1150
DTBench—55.1%
ForecastBench—56.3

Math Mistral Small 3.2 leads

Mistral Small 3.2: 24.9 (#251), Mixtral 8x22B: 21.2 (#271)

Math benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
OTIS Mock AIME 2024-202530.3%—
Omni-MATH—16.3%
LMArena Math—1184
MATH Level 5—24.2%

Knowledge Mistral Small 3.2 leads

Mistral Small 3.2: 26.8 (#249), Mixtral 8x22B: 15.1 (#288)

Knowledge benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
GPQA Diamond49.1%34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
LMArena Expert—1113
MMLU—77.8%

Multilingual Not comparable

Mistral Small 3.2: —, Mixtral 8x22B: 32.9 (#250)

Multilingual benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
LMArena Non-English—1128
LMArena Chinese—1116
LMArena French—1165
LMArena German—1141
LMArena Japanese—1037
LMArena Korean—1056
LMArena Russian—1158
LMArena Spanish—1150

Instruction Following Not comparable

Mistral Small 3.2: —, Mixtral 8x22B: 57.9 (#261)

Instruction Following benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
IFEval—72.4%
LMArena Instruction Following—1147

Long Context Not comparable

Mistral Small 3.2: —, Mixtral 8x22B: 34.6 (#242)

Long Context benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
LMArena Longer Query—1144

Writing & Preference Mistral Small 3.2 leads

Mistral Small 3.2: 45.1 (#219), Mixtral 8x22B: 37.1 (#257)

Writing & Preference benchmarks
BenchmarkMistral Small 3.2Mixtral 8x22B
LMArena Text—1162
LMArena Creative Writing—1141
EQ-Bench Creative Writing1255—
WildBench—71.1%
LMArena Multi-Turn—1130

Frequently asked questions

Is Mistral Small 3.2 better than Mixtral 8x22B?

Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 26.7 on the Noometry Index.

Which is cheaper, Mistral Small 3.2 or Mixtral 8x22B?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 64K.

How many benchmarks do Mistral Small 3.2 and Mixtral 8x22B share?

2 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Mixtral 8x22B has 34.

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