Noometry

Model comparison

Claude Opus 4.5 vs Mistral Large 3

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 39.1 on the Noometry Index. Mistral Large 3 costs 27× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Opus 4.5 scores higher in 7 categories and Mistral Large 3 in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.5 leads 42.6 to 15.2.
  • The biggest single-benchmark swing is NYT Connections (extended): 52.5% for Claude Opus 4.5 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 4.5.
  • Mistral Large 3 accepts more context: 262K tokens versus 200K.
  • Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5Mistral Large 3
ProviderAnthropicMistral AI
Noometry Index50.539.1
Released2025-11-012025-12-02
WeightsProprietaryOpen
Context window200K262K
Max output64K8K
Input $ / M tokens$5$0.25
Output $ / M tokens$25$0.75
Results tracked6924

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 54.8 (#27), Mistral Large 3: 34.4 (#237)

BenchmarkClaude Opus 4.5Mistral Large 3
LMArena WebDev14941230
LMArena Coding15041448
SWE-bench Verified76.7%—
SWE-bench Verified (bash only)76.8%—
SWE-bench Multilingual70.7%—
GSO26.5%—
WeirdML63.7%—
ALE-Bench1,025—
AlgoTune1.77—

Agentic & Tool Use Not comparable

Claude Opus 4.5: 47.3 (#12), Mistral Large 3: —

BenchmarkClaude Opus 4.5Mistral Large 3
Terminal-Bench63.1%—
Berkeley Function Calling Leaderboard77.5%—
GDPval45.5%—
Remote Labor Index3.8%—
τ²-bench Airline84%—
τ²-bench Banking24.7%—
τ²-bench Retail79.6%—
τ²-bench Telecom92.3%—
Cybench82%—
DeepResearch Bench54.8%—
OSWorld66.3%—
BALROG43.5%—
LMArena Search1180—
METR Time Horizons75%—
Vending-Bench 24,967—

Reasoning Claude Opus 4.5 leads

Claude Opus 4.5: 42.6 (#51), Mistral Large 3: 15.2 (#319)

BenchmarkClaude Opus 4.5Mistral Large 3
Kagi LLM Benchmark80.2%50.9%
NYT Connections (extended)52.5%7.5%
LMArena Hard Prompts14761429
ARC-AGI-237.6%—
SimpleBench62%—
ARC-AGI-180%—
Chess Puzzles12%—
EnigmaEval11.9%—
Thematic Generalization—23%
EBR-Bench14.3%—
Mystery Game Puzzles22%—
DTBench89.9%—
LMCA44.5%—
Epoch Capabilities Index150.09—
ForecastBench60.7—

Math Too close to call

Claude Opus 4.5: 38.6 (#132), Mistral Large 3: 38.7 (#129)

BenchmarkClaude Opus 4.5Mistral Large 3
LMArena Math14631414
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202586.1%—
ProofBench36%—
FrontierMath (Feb 2025 set)20.7%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), Mistral Large 3: 36.0 (#177)

BenchmarkClaude Opus 4.5Mistral Large 3
Vectara Hallucination Rate10.9%14.5%
LMArena Expert14871421
GPQA Diamond86%—
Humanity's Last Exam25.2%—
SimpleQA Verified45.7%—

Multimodal Mistral Large 3 leads

Claude Opus 4.5: 31.4 (#107), Mistral Large 3: 38.2 (#66)

BenchmarkClaude Opus 4.5Mistral Large 3
LMArena Vision—1221
GeoBench75%—
VPCT40%—
Furniture Assembly28.3%—
LMArena Document1462—

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.3 (#47), Mistral Large 3: 52.5 (#84)

BenchmarkClaude Opus 4.5Mistral Large 3
LMArena Non-English14381413
LMArena Chinese14701447
LMArena French14711455
LMArena German14491437
LMArena Japanese14161394
LMArena Korean14241384
LMArena Russian14471411
LMArena Spanish14581440

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.5 (#19), Mistral Large 3: 74.0 (#108)

BenchmarkClaude Opus 4.5Mistral Large 3
LMArena Instruction Following14781403

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.5 (#22), Mistral Large 3: 43.1 (#105)

BenchmarkClaude Opus 4.5Mistral Large 3
LMArena Longer Query14801413
CL-bench21.1%—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.1 (#28), Mistral Large 3: 60.0 (#101)

BenchmarkClaude Opus 4.5Mistral Large 3
LMArena Text14511428
LMArena Creative Writing14451386
EQ-Bench Creative Writing16871412
LMArena Multi-Turn14661429

Frequently asked questions

Is Claude Opus 4.5 better than Mistral Large 3?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 39.1 on the Noometry Index. Mistral Large 3 costs 27× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.5 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 4.5 lists at $5 and $25.

Is Claude Opus 4.5 or Mistral Large 3 better for coding?

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 200K.

How many benchmarks do Claude Opus 4.5 and Mistral Large 3 share?

22 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Mistral Large 3 has 24.

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