Noometry

Model comparison

Claude Opus 4.5 vs Mistral Large

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 31.9 on the Noometry Index. Mistral Large costs 3.3× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Claude Opus 4.5 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Claude Opus 4.5 leads 68.1 to 40.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 86.1% for Claude Opus 4.5 and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
  • Claude Opus 4.5 accepts more context: 200K tokens versus 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5Mistral Large
ProviderAnthropicMistral AI
Noometry Index50.531.9
Released2025-11-012024-02-26
WeightsProprietaryOpen
Context window200K131K
Max output64K16K
Input $ / M tokens$5$2
Output $ / M tokens$25$6
Results tracked6951

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 54.8 (#27), Mistral Large: 34.3 (#240)

BenchmarkClaude Opus 4.5Mistral Large
LMArena Coding15041277
ALE-Bench1,025264.7
SWE-bench Verified76.7%—
SWE-bench Verified (bash only)76.8%—
LMArena WebDev1494—
SWE-bench Multilingual70.7%—
SciCode—36.2%
GSO26.5%—
WeirdML63.7%—
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
AlgoTune1.77—
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Claude Opus 4.5 leads

Claude Opus 4.5: 47.3 (#12), Mistral Large: 28.6 (#89)

BenchmarkClaude Opus 4.5Mistral Large
Berkeley Function Calling Leaderboard77.5%38.4%
Terminal-Bench63.1%—
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: 15.8 (#310)

BenchmarkClaude Opus 4.5Mistral Large
SimpleBench62%22.5%
LMArena Hard Prompts14761257
DTBench89.9%65.1%
LMCA44.5%16.7%
Epoch Capabilities Index150.09128.52
ForecastBench60.757.1
ARC-AGI-237.6%—
Kagi LLM Benchmark80.2%—
NYT Connections (extended)52.5%—
ARC-AGI-180%—
CritPt—0%
Chess Puzzles12%—
EnigmaEval11.9%—
EBR-Bench14.3%—
LiveBench Reasoning—43.5%
Mystery Game Puzzles22%—
LiveBench Data Analysis—50.1%
LiveBench—48.4%

Math Claude Opus 4.5 leads

Claude Opus 4.5: 38.6 (#132), Mistral Large: 18.2 (#291)

BenchmarkClaude Opus 4.5Mistral Large
OTIS Mock AIME 2024-202586.1%8.5%
LMArena Math14631262
FrontierMath (Feb 2025 set)20.7%0.3%
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
ProofBench36%—
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), Mistral Large: 30.1 (#230)

BenchmarkClaude Opus 4.5Mistral Large
GPQA Diamond86%51.3%
Vectara Hallucination Rate10.9%4.5%
LMArena Expert14871232
Humanity's Last Exam25.2%—
SimpleQA Verified45.7%—
MMLU-Pro—59.9%
Confabulations—21.4%
GPQA (HELM)—43.5%
MMLU—80%

Multimodal Not comparable

Claude Opus 4.5: 31.4 (#107), Mistral Large: —

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

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.3 (#47), Mistral Large: 40.0 (#219)

BenchmarkClaude Opus 4.5Mistral Large
LMArena Non-English14381237
LMArena Chinese14701240
LMArena French14711325
LMArena German14491254
LMArena Japanese14161188
LMArena Korean14241202
LMArena Russian14471257
LMArena Spanish14581268

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.5 (#19), Mistral Large: 67.9 (#191)

BenchmarkClaude Opus 4.5Mistral Large
LMArena Instruction Following14781249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.5 (#22), Mistral Large: 38.3 (#199)

BenchmarkClaude Opus 4.5Mistral Large
LMArena Longer Query14801261
CL-bench21.1%—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.1 (#28), Mistral Large: 40.7 (#242)

BenchmarkClaude Opus 4.5Mistral Large
LMArena Text14511266
LMArena Creative Writing14451243
EQ-Bench Creative Writing1687985
LMArena Multi-Turn14661260
Short-Story Creative Writing—69%
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Claude Opus 4.5 better than Mistral Large?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 31.9 on the Noometry Index. Mistral Large costs 3.3× 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?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

Is Claude Opus 4.5 or Mistral Large better for coding?

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.5 does, with 200K tokens against 131K.

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

29 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Mistral Large has 51.

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