Noometry

Model comparison

Mistral Small 3.2 vs Mixtral 8x7B

Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 27.1 on the Noometry Index.

Last verified . 2 shared benchmarks.

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Mistral Small 3.2 scores higher in 3 categories and Mixtral 8x7B in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mistral Small 3.2 leads 26.7 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 49.1% for Mistral Small 3.2 and 30.6% for Mixtral 8x7B.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 32K.

Side by side

Mistral Small 3.2Mixtral 8x7B
ProviderMistral AIMistral AI
Noometry Index31.227.1
Released2025-06-202023-12-11
WeightsOpenOpen
Context window256K32K
Max output16K32K
Input $ / M tokens$0.0938$0.70
Output $ / M tokens$0.25$0.70
Results tracked638

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Category by category

Coding Not comparable

Mistral Small 3.2: —, Mixtral 8x7B: 32.8 (#269)

BenchmarkMistral Small 3.2Mixtral 8x7B
LMArena Coding—1126
HumanEval+—39.6%
MBPP+—49.7%

Reasoning Too close to call

Mistral Small 3.2: 18.1 (#287), Mixtral 8x7B: 18.2 (#285)

BenchmarkMistral Small 3.2Mixtral 8x7B
Epoch Capabilities Index131.74118.47
Kagi LLM Benchmark40.4%—
Chess Puzzles1%—
LMArena Hard Prompts—1115
DTBench—49.6%
Adversarial NLI—55.2%
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Mistral Small 3.2 leads

Mistral Small 3.2: 26.3 (#260), Mixtral 8x7B: 18.8 (#289)

BenchmarkMistral Small 3.2Mixtral 8x7B
OTIS Mock AIME 2024-202530.3%—
Omni-MATH—10.5%
LMArena Math—1147
MATH Level 5—10%
GSM8K—74.4%

Knowledge Mistral Small 3.2 leads

Mistral Small 3.2: 26.7 (#256), Mixtral 8x7B: 11.0 (#301)

BenchmarkMistral Small 3.2Mixtral 8x7B
GPQA Diamond49.1%30.6%
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
LMArena Expert—1088
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual Not comparable

Mistral Small 3.2: —, Mixtral 8x7B: 29.6 (#266)

BenchmarkMistral Small 3.2Mixtral 8x7B
LMArena Non-English—1077
LMArena Chinese—1055
LMArena French—1166
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968
LMArena Russian—1090
LMArena Spanish—1111

Instruction Following Not comparable

Mistral Small 3.2: —, Mixtral 8x7B: 51.0 (#297)

BenchmarkMistral Small 3.2Mixtral 8x7B
IFEval—57.5%
LMArena Instruction Following—1109

Long Context Not comparable

Mistral Small 3.2: —, Mixtral 8x7B: 33.4 (#260)

BenchmarkMistral Small 3.2Mixtral 8x7B
LMArena Longer Query—1103

Writing & Preference Mistral Small 3.2 leads

Mistral Small 3.2: 45.0 (#224), Mixtral 8x7B: 34.2 (#270)

BenchmarkMistral Small 3.2Mixtral 8x7B
LMArena Text—1132
LMArena Creative Writing—1109
EQ-Bench Creative Writing1255—
WildBench—67.3%
LMArena Multi-Turn—1115

Frequently asked questions

Is Mistral Small 3.2 better than Mixtral 8x7B?

Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 27.1 on the Noometry Index.

Which is cheaper, Mistral Small 3.2 or Mixtral 8x7B?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 32K.

How many benchmarks do Mistral Small 3.2 and Mixtral 8x7B share?

2 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Mixtral 8x7B has 38.

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