Model comparison

Claude Opus 4.1 vs Mistral Large

Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 31.9 on the Noometry Index. Mistral Large costs 10× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Claude Opus 4.1 Anthropic

41.0

Rank #142 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Claude Opus 4.1 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 4.1 leads 62.4 to 40.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.9% for Claude Opus 4.1 and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
  • Claude Opus 4.1 accepts more context: 200K tokens versus 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.1 and Mistral Large specifications
Claude Opus 4.1Mistral Large
ProviderAnthropicMistral AI
Noometry Index41.031.9
Released2025-08-052024-02-26
WeightsProprietaryOpen
Context window200K131K
Max output32K16K
Input $ / M tokens$15$2
Output $ / M tokens$75$6
Results tracked4851

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Category by category

Coding Claude Opus 4.1 leads

Claude Opus 4.1: 44.4 (#73), Mistral Large: 34.3 (#240)

Coding benchmarks
BenchmarkClaude Opus 4.1Mistral Large
LMArena Coding14791277
ALE-Bench674.77264.7
SWE-bench Verified73.3%—
LMArena WebDev1390—
SciCode—36.2%
WeirdML45.9%—
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
AlgoTune1.34—
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Claude Opus 4.1 leads

Claude Opus 4.1: 35.0 (#41), Mistral Large: 28.6 (#89)

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.1Mistral Large
Terminal-Bench38%—
Berkeley Function Calling Leaderboard—38.4%
GDPval43.6%—
Cybench42%—
DeepResearch Bench48.3%—
LMArena Search1148—
METR Time Horizons66.8%—

Reasoning Claude Opus 4.1 leads

Claude Opus 4.1: 32.2 (#76), Mistral Large: 15.8 (#310)

Reasoning benchmarks
BenchmarkClaude Opus 4.1Mistral Large
SimpleBench60%22.5%
LMArena Hard Prompts14431257
DTBench80%65.1%
LMCA37.1%16.7%
Epoch Capabilities Index144.12128.52
ForecastBench6257.1
CritPt—0%
Chess Puzzles7%—
EnigmaEval7.2%—
EBR-Bench7.9%—
LiveBench Reasoning—43.5%
Mystery Game Puzzles21%—
LiveBench Data Analysis—50.1%
LiveBench—48.4%

Math Claude Opus 4.1 leads

Claude Opus 4.1: 22.3 (#277), Mistral Large: 18.2 (#291)

Math benchmarks
BenchmarkClaude Opus 4.1Mistral Large
OTIS Mock AIME 2024-202568.9%8.5%
LMArena Math14311262
FrontierMath (Feb 2025 set)7.2%0.3%
FrontierMath (Tiers 1-3)12.6%—
FrontierMath Tier 42.4%—
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.1 leads

Claude Opus 4.1: 42.0 (#101), Mistral Large: 30.1 (#230)

Knowledge benchmarks
BenchmarkClaude Opus 4.1Mistral Large
GPQA Diamond77.3%51.3%
Confabulations17.1%21.4%
Vectara Hallucination Rate11.8%4.5%
LMArena Expert14391232
Humanity's Last Exam11.5%—
MMLU-Pro—59.9%
GPQA (HELM)—43.5%
MMLU—80%

Multimodal Not comparable

Claude Opus 4.1: 26.8 (#119), Mistral Large: —

Multimodal benchmarks
BenchmarkClaude Opus 4.1Mistral Large
VPCT35%—

Multilingual Claude Opus 4.1 leads

Claude Opus 4.1: 52.0 (#95), Mistral Large: 40.0 (#219)

Multilingual benchmarks
BenchmarkClaude Opus 4.1Mistral Large
LMArena Non-English14051237
LMArena Chinese14271240
LMArena French14311325
LMArena German14131254
LMArena Japanese13781188
LMArena Korean13801202
LMArena Russian14221257
LMArena Spanish14481268

Instruction Following Claude Opus 4.1 leads

Claude Opus 4.1: 75.6 (#58), Mistral Large: 67.9 (#191)

Instruction Following benchmarks
BenchmarkClaude Opus 4.1Mistral Large
LMArena Instruction Following14351249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Claude Opus 4.1 leads

Claude Opus 4.1: 44.5 (#63), Mistral Large: 38.3 (#199)

Long Context benchmarks
BenchmarkClaude Opus 4.1Mistral Large
LMArena Longer Query14551261

Writing & Preference Claude Opus 4.1 leads

Claude Opus 4.1: 62.4 (#74), Mistral Large: 40.7 (#242)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.1Mistral Large
LMArena Text14191266
LMArena Creative Writing14121243
Short-Story Creative Writing84.7%69%
LMArena Multi-Turn14441260
EQ-Bench Creative Writing—985
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Claude Opus 4.1 better than Mistral Large?

Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 31.9 on the Noometry Index. Mistral Large costs 10× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.1 or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.1 lists at $15 and $75.

Is Claude Opus 4.1 or Mistral Large better for coding?

Claude Opus 4.1 scores higher on coding benchmarks: 44.4 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.1 does, with 200K tokens against 131K.

How many benchmarks do Claude Opus 4.1 and Mistral Large share?

29 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Mistral Large has 51.

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