Noometry

Model comparison

Claude Opus 4.8 vs Mistral Small 3.2

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 75× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Last verified . 6 shared benchmarks.

Claude Opus 4.8 Anthropic

60.7

Rank #13 Confirmed

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Summary

  • They share 6 benchmarks with published results for both. Claude Opus 4.8 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 math, where Claude Opus 4.8 leads 78.4 to 26.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for Claude Opus 4.8 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 $5 / $25 for Claude Opus 4.8.
  • Claude Opus 4.8 accepts more context: 1M tokens versus 256K.
  • Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.8Mistral Small 3.2
ProviderAnthropicMistral AI
Noometry Index60.731.2
Released2026-05-282025-06-20
WeightsProprietaryOpen
Context window1M256K
Max output128K16K
Input $ / M tokens$5$0.0938
Output $ / M tokens$25$0.25
Results tracked656

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Category by category

Coding Not comparable

Claude Opus 4.8: 59.9 (#12), Mistral Small 3.2: —

BenchmarkClaude Opus 4.8Mistral Small 3.2
DeepSWE59%—
FrontierCode46.5%—
LMArena WebDev1556—
SciCode53.5%—
GSO47.1%—
WeirdML82.9%—
LMArena Coding1490—
ALE-Bench1,564—

Agentic & Tool Use Not comparable

Claude Opus 4.8: 47.6 (#11), Mistral Small 3.2: —

BenchmarkClaude Opus 4.8Mistral Small 3.2
APEX-Agents48.9%—
OSWorld 2.020.6%—
Remote Labor Index8.3%—
τ²-bench Banking39.7%—
DeepResearch Bench50.2%—
PostTrainBench33.8%—
GBAEval70.9%—
GDP.pdf24%—
LMArena Search1204—
Vending-Bench 25,787—

Reasoning Claude Opus 4.8 leads

Claude Opus 4.8: 64.7 (#16), Mistral Small 3.2: 18.1 (#287)

BenchmarkClaude Opus 4.8Mistral Small 3.2
Kagi LLM Benchmark88.8%40.4%
Chess Puzzles34%1%
Epoch Capabilities Index158.21131.74
ARC-AGI-272.1%—
SimpleBench64.8%—
NYT Connections (extended)91.1%—
ARC-AGI-192.5%—
CritPt20.9%—
EnigmaEval23.5%—
EBR-Bench28.6%—
LMArena Hard Prompts1482—
Mystery Game Puzzles36%—
DTBench94.9%—
LMCA57.5%—
Surface Evolver Bench87.5%—
Bench to the Future 30.14—
ForecastBench59.9—

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.4 (#13), Mistral Small 3.2: 26.3 (#260)

BenchmarkClaude Opus 4.8Mistral Small 3.2
OTIS Mock AIME 2024-202598.3%30.3%
FrontierMath (Tiers 1-3)80%—
FrontierMath Tier 456.1%—
MathArena Final-Answer Competitions91.8%—
ProofBench69%—
LMArena Math1487—
FrontierMath (Feb 2025 set)47.2%—
FrontierMath Tier 4 (v1)31.3%—

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#29), Mistral Small 3.2: 26.7 (#256)

BenchmarkClaude Opus 4.8Mistral Small 3.2
GPQA Diamond91%49.1%
SimpleQA Verified53%—
LMArena Expert1502—

Multimodal Not comparable

Claude Opus 4.8: 42.9 (#26), Mistral Small 3.2: —

BenchmarkClaude Opus 4.8Mistral Small 3.2
LMArena Vision1294—
Blueprint-Bench 214.5%—
Furniture Assembly42.5%—
LMArena Document1475—

Multilingual Not comparable

Claude Opus 4.8: 55.2 (#33), Mistral Small 3.2: —

BenchmarkClaude Opus 4.8Mistral Small 3.2
LMArena Non-English1450—
LMArena Chinese1507—
LMArena French1481—
LMArena German1472—
LMArena Japanese1440—
LMArena Korean1432—
LMArena Russian1474—
LMArena Spanish1466—

Instruction Following Not comparable

Claude Opus 4.8: 77.4 (#24), Mistral Small 3.2: —

BenchmarkClaude Opus 4.8Mistral Small 3.2
LMArena Instruction Following1476—

Long Context Not comparable

Claude Opus 4.8: 45.4 (#35), Mistral Small 3.2: —

BenchmarkClaude Opus 4.8Mistral Small 3.2
LMArena Longer Query1483—

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.0 (#16), Mistral Small 3.2: 45.0 (#224)

BenchmarkClaude Opus 4.8Mistral Small 3.2
EQ-Bench Creative Writing18401255
LMArena Text1461—
LMArena Creative Writing1454—
EQ-Bench 41281—
LMArena Multi-Turn1476—

Frequently asked questions

Is Claude Opus 4.8 better than Mistral Small 3.2?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 75× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.8 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 4.8 lists at $5 and $25.

Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 256K.

How many benchmarks do Claude Opus 4.8 and Mistral Small 3.2 share?

6 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Mistral Small 3.2 has 6.

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