Noometry

Model comparison

Claude Opus 4 vs Mistral Small 3.2

Claude Opus 4 is the stronger model overall, scoring 43.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 226× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

Last verified . 5 shared benchmarks.

Claude Opus 4 Anthropic

43.1

Rank #100 Confirmed

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Summary

  • They share 5 benchmarks with published results for both. Claude Opus 4 scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Claude Opus 4 leads 44.0 to 26.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 64.4% for Claude Opus 4 and 30.3% for Mistral Small 3.2.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $15 / $75 for Claude Opus 4.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 200K.
  • Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4Mistral Small 3.2
ProviderAnthropicMistral AI
Noometry Index43.131.2
Released2025-05-222025-06-20
WeightsProprietaryOpen
Context window200K256K
Max output32K16K
Input $ / M tokens$15$0.0938
Output $ / M tokens$75$0.25
Results tracked566

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Category by category

Coding Not comparable

Claude Opus 4: 47.2 (#62), Mistral Small 3.2: —

BenchmarkClaude Opus 4Mistral Small 3.2
SWE-bench Verified70.7%—
SWE-bench Verified (bash only)67.6%—
Aider Polyglot72%—
GSO6.9%—
WeirdML43.7%—
LMArena Coding1442—
AlgoTune1.33—

Agentic & Tool Use Not comparable

Claude Opus 4: 34.8 (#42), Mistral Small 3.2: —

BenchmarkClaude Opus 4Mistral Small 3.2
Cybench38%—
DeepResearch Bench46.8%—
LMArena Search1127—
METR Time Horizons63.9%—

Reasoning Claude Opus 4 leads

Claude Opus 4: 27.3 (#121), Mistral Small 3.2: 18.1 (#287)

BenchmarkClaude Opus 4Mistral Small 3.2
Kagi LLM Benchmark74.3%40.4%
Epoch Capabilities Index142.67131.74
ARC-AGI-28.6%—
SimpleBench58.8%—
ARC-AGI-135.7%—
CritPt0.3%—
Chess Puzzles—1%
EnigmaEval5.6%—
LMArena Hard Prompts1399—
DTBench81.6%—
LMCA37.4%—
ForecastBench61.1—

Math Claude Opus 4 leads

Claude Opus 4: 42.0 (#86), Mistral Small 3.2: 26.3 (#260)

BenchmarkClaude Opus 4Mistral Small 3.2
OTIS Mock AIME 2024-202564.4%30.3%
Omni-MATH61.6%—
LMArena Math1390—
MATH Level 585%—
FrontierMath (Feb 2025 set)4.5%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4 leads

Claude Opus 4: 44.0 (#88), Mistral Small 3.2: 26.7 (#256)

BenchmarkClaude Opus 4Mistral Small 3.2
GPQA Diamond76.3%49.1%
Humanity's Last Exam10.7%—
MMLU-Pro87.5%—
Confabulations15.9%—
Vectara Hallucination Rate12%—
GPQA (HELM)70.8%—
LMArena Expert1386—

Multimodal Not comparable

Claude Opus 4: 31.5 (#106), Mistral Small 3.2: —

BenchmarkClaude Opus 4Mistral Small 3.2
LMArena Vision1192—
GeoBench49%—
VPCT38%—

Multilingual Not comparable

Claude Opus 4: 48.8 (#138), Mistral Small 3.2: —

BenchmarkClaude Opus 4Mistral Small 3.2
LMArena Non-English1362—
LMArena Chinese1386—
LMArena French1372—
LMArena German1391—
LMArena Japanese1331—
LMArena Korean1321—
LMArena Russian1392—
LMArena Spanish1389—

Instruction Following Not comparable

Claude Opus 4: 77.1 (#28), Mistral Small 3.2: —

BenchmarkClaude Opus 4Mistral Small 3.2
IFEval91.8%—
LMArena Instruction Following1406—

Long Context Not comparable

Claude Opus 4: 39.6 (#172), Mistral Small 3.2: —

BenchmarkClaude Opus 4Mistral Small 3.2
Fiction.LiveBench61.1%—
LMArena Longer Query1422—

Writing & Preference Claude Opus 4 leads

Claude Opus 4: 61.2 (#89), Mistral Small 3.2: 45.0 (#224)

BenchmarkClaude Opus 4Mistral Small 3.2
EQ-Bench Creative Writing15801255
LMArena Text1377—
LMArena Creative Writing1387—
Short-Story Creative Writing83.6%—
WildBench85.2%—
LMArena Multi-Turn1396—

Frequently asked questions

Is Claude Opus 4 better than Mistral Small 3.2?

Claude Opus 4 is the stronger model overall, scoring 43.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 226× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4 or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Claude Opus 4 lists at $15 and $75.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 200K.

How many benchmarks do Claude Opus 4 and Mistral Small 3.2 share?

5 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Mistral Small 3.2 has 6.

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