Noometry

Model comparison

Claude Opus 4.6 vs Mistral Large 3

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 39.1 on the Noometry Index. Mistral Large 3 costs 27× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Last verified . 24 shared benchmarks.

Claude Opus 4.6 Anthropic

58.2

Rank #20 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Claude Opus 4.6 scores higher in 8 categories and Mistral Large 3 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.6 leads 57.8 to 15.2.
  • The biggest single-benchmark swing is NYT Connections (extended): 92.1% for Claude Opus 4.6 and 7.5% for Mistral Large 3.
  • Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
  • Claude Opus 4.6 accepts more context: 1M tokens versus 262K.
  • Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.6Mistral Large 3
ProviderAnthropicMistral AI
Noometry Index58.239.1
Released2026-02-042025-12-02
WeightsProprietaryOpen
Context window1M262K
Max output128K8K
Input $ / M tokens$5$0.25
Output $ / M tokens$25$0.75
Results tracked6824

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Category by category

Coding Claude Opus 4.6 leads

Claude Opus 4.6: 57.2 (#20), Mistral Large 3: 34.4 (#237)

BenchmarkClaude Opus 4.6Mistral Large 3
LMArena WebDev15471230
LMArena Coding15361448
SWE-bench Verified78.7%—
FrontierCode26.6%—
SWE-bench Verified (bash only)75.6%—
SWE-bench Multilingual72%—
GSO41.2%—
WeirdML78%—
ALE-Bench996.5—
AlgoTune1.47—

Agentic & Tool Use Not comparable

Claude Opus 4.6: 51.1 (#4), Mistral Large 3: —

BenchmarkClaude Opus 4.6Mistral Large 3
Terminal-Bench79.8%—
APEX-Agents46.3%—
Remote Labor Index4.2%—
τ²-bench Banking27.3%—
Cybench93%—
DeepResearch Bench55.3%—
GBAEval44.1%—
LMArena Search1253—
METR Time Horizons78.9%—
Vending-Bench 28,018—

Reasoning Claude Opus 4.6 leads

Claude Opus 4.6: 57.8 (#23), Mistral Large 3: 15.2 (#319)

BenchmarkClaude Opus 4.6Mistral Large 3
Kagi LLM Benchmark83.6%50.9%
NYT Connections (extended)92.1%7.5%
Thematic Generalization80.6%23%
LMArena Hard Prompts15271429
ARC-AGI-269.2%—
SimpleBench67.6%—
ARC-AGI-194%—
Chess Puzzles17%—
EnigmaEval7.6%—
EBR-Bench12.7%—
Mystery Game Puzzles25%—
DTBench91.2%—
LMCA55.8%—
Epoch Capabilities Index155.24—
ForecastBench60—

Math Claude Opus 4.6 leads

Claude Opus 4.6: 63.0 (#31), Mistral Large 3: 38.7 (#129)

BenchmarkClaude Opus 4.6Mistral Large 3
LMArena Math15191414
FrontierMath (Tiers 1-3)66%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions78.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench50%—
FrontierMath (Feb 2025 set)40.7%—
FrontierMath Tier 4 (v1)22.9%—

Knowledge Claude Opus 4.6 leads

Claude Opus 4.6: 61.9 (#26), Mistral Large 3: 36.0 (#177)

BenchmarkClaude Opus 4.6Mistral Large 3
Vectara Hallucination Rate12.2%14.5%
LMArena Expert15461421
GPQA Diamond90.5%—
Humanity's Last Exam34.4%—
SimpleQA Verified47%—

Multimodal Too close to call

Claude Opus 4.6: 37.3 (#74), Mistral Large 3: 38.2 (#66)

BenchmarkClaude Opus 4.6Mistral Large 3
LMArena Vision13161221
Furniture Assembly28.3%—
LMArena Document1507—

Multilingual Claude Opus 4.6 leads

Claude Opus 4.6: 57.9 (#6), Mistral Large 3: 52.5 (#84)

BenchmarkClaude Opus 4.6Mistral Large 3
LMArena Non-English14891413
LMArena Chinese15511447
LMArena French15131455
LMArena German15021437
LMArena Japanese14841394
LMArena Korean14641384
LMArena Russian14971411
LMArena Spanish15101440

Instruction Following Claude Opus 4.6 leads

Claude Opus 4.6: 79.5 (#4), Mistral Large 3: 74.0 (#108)

BenchmarkClaude Opus 4.6Mistral Large 3
LMArena Instruction Following15231403

Long Context Claude Opus 4.6 leads

Claude Opus 4.6: 48.1 (#13), Mistral Large 3: 43.1 (#105)

BenchmarkClaude Opus 4.6Mistral Large 3
LMArena Longer Query15201413
CL-bench20.7%—
CL-bench Life17%—

Writing & Preference Claude Opus 4.6 leads

Claude Opus 4.6: 73.5 (#10), Mistral Large 3: 60.0 (#101)

BenchmarkClaude Opus 4.6Mistral Large 3
LMArena Text15031428
LMArena Creative Writing15051386
EQ-Bench Creative Writing18091412
LMArena Multi-Turn15131429
EQ-Bench 41223—

Frequently asked questions

Is Claude Opus 4.6 better than Mistral Large 3?

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 39.1 on the Noometry Index. Mistral Large 3 costs 27× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.6 or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Claude Opus 4.6 lists at $5 and $25.

Is Claude Opus 4.6 or Mistral Large 3 better for coding?

Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.6 does, with 1M tokens against 262K.

How many benchmarks do Claude Opus 4.6 and Mistral Large 3 share?

24 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and Mistral Large 3 has 24.

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