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Claude Opus 4.1 vs Mistral Large 4

Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
13
Mistral Large 4Mistral AI
Coding
55.3
Overall
38.4
Output $/M
$4.18
33
vs boards won of 46 shared

Decision reading

Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Pick Claude Opus 4.1 when what matters is LMArena Text: coding or Mystery game puzzles, where it leads.

Shared results
46
Claude Opus 4.1 only
25
Mistral Large 4 only
35
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.1 27.2 from 1 benchmark, Mistral Large 4 55.3 from 2 benchmarks.
Widest category
Math, 22.2 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against Mistral Large 4 58.6%, 46.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Mistral Large 4 $4.18 per million output tokens, 17.9x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Mistral Large 4 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.1BarsMistral Large 4Ties
Coding13
Intelligence02
Reasoning23
Math05
Knowledge14
Web design08
General98
All shared boards1333
CodingLike-for-likeFour of these boards feed the Vibe Coding Index13
Coding benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDev13901543Mistral Large 4
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)Not measured78.4%Only Mistral Large 4 measured
Code migration (Vals AI)Not measured30.6%Only Mistral Large 4 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
SciCodeNot measured54.2%Only Mistral Large 4 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: coding14791478Claude Opus 4.1
LMArena Text: software and IT14561467Mistral Large 4
LMArena WebDev: ReactNot measured1559Only Mistral Large 4 measured
LMArena WebDev: HTML13991487Mistral Large 4
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
AA Intelligence Index22.838.4Mistral Large 4
Epoch Capabilities Index144.1150.0Mistral Large 4
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
LiveBench researchNot measured28.1%Only Mistral Large 4 measured
LiveBench browserNot measured8.0%Only Mistral Large 4 measured
LiveBench long agenticNot measured11.8%Only Mistral Large 4 measured
Finance Agent (Vals AI)Not measured54.7%Only Mistral Large 4 measured
Tax Agent Bench (Vals AI)Not measured30.4%Only Mistral Large 4 measured
Legal Research Bench (Vals AI)Not measured31.7%Only Mistral Large 4 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)Not measured56.2%Only Mistral Large 4 measured
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
LiveBench reasoningNot measured83.9%Only Mistral Large 4 measured
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.0%Only Mistral Large 4 measured
GPQA Diamond (Epoch AI run)77.3%88.1%Mistral Large 4
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Chess puzzlesNot measured33.0%Only Mistral Large 4 measured
Mystery game puzzles21.0%17.0%Claude Opus 4.1
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421444Mistral Large 4
LMArena Text: expert14381444Mistral Large 4
LMArena Text: hard prompts in English14511442Claude Opus 4.1
LMArena Vision: diagramsNot measured1288Only Mistral Large 4 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%98.3%Mistral Large 4
FrontierMath, tiers 1 to 312.6%58.6%Mistral Large 4
FrontierMath, tier 42.4%26.8%Mistral Large 4
ProofBenchNot measured10.0%Only Mistral Large 4 measured
LMArena Text: math14311469Mistral Large 4
LMArena Text: mathematical work14341462Mistral Large 4
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%40.7%Claude Opus 4.1
SimpleQA VerifiedNot measured20.0%Only Mistral Large 4 measured
LMArena Text: science14221448Mistral Large 4
LMArena Text: medicine and healthcare14161433Mistral Large 4
LMArena Text: legal and government14211425Mistral Large 4
LMArena Text: business and finance14061439Mistral Large 4
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
Design Arena: websites11771258Mistral Large 4
Design Arena: UI components11641275Mistral Large 4
Design Arena: game dev11721226Mistral Large 4
Design Arena: data viz11661274Mistral Large 4
Design Arena: 3D11531253Mistral Large 4
Design Arena: all code categories11711259Mistral Large 4
Design Arena: SVG11521232Mistral Large 4
Design Arena: ASCII art11671203Mistral Large 4
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index98
General benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%80.4%Mistral Large 4
Long context reasoning (AA-LCR)Not measured81.3%Only Mistral Large 4 measured
DTBench80.0%88.2%Mistral Large 4
LMCA37.1%35.8%Claude Opus 4.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text14191431Mistral Large 4
LMArena Text: instruction following14351422Claude Opus 4.1
LMArena Text: creative writing14121363Claude Opus 4.1
LMArena VisionNot measured1272Only Mistral Large 4 measured
LMArena Text: English14331433Claude Opus 4.1
LMArena Text: non-English14051422Mistral Large 4
LMArena Text: Chinese14271492Mistral Large 4
LMArena Text: German1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Japanese13771415Mistral Large 4
LMArena Text: Korean1381Not measuredOnly Claude Opus 4.1 measured
LMArena Text: French14331492Mistral Large 4
LMArena Text: Spanish14481455Mistral Large 4
LMArena Text: Russian14221417Claude Opus 4.1
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn14441435Claude Opus 4.1
LMArena Text: longer queries14551428Claude Opus 4.1
LMArena Text: writing and language14181386Claude Opus 4.1
LMArena Text: entertainment and media13981378Claude Opus 4.1
LMArena Vision: EnglishNot measured1283Only Mistral Large 4 measured
LMArena Vision: reading textNot measured1284Only Mistral Large 4 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Mistral Large 4
BenchmarkClaude Opus 4.1Mistral Large 4Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.1$0.052Fits in one request
Mistral Large 4$0.0034Fits in one request

Mistral Large 4 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Mistral Large 4$0.081Fits in one request

Mistral Large 4 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Mistral Large 4$0.314Fits in one request

Mistral Large 4 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.1 and Mistral Large 4
SpecificationAnthropic Claude Opus 4.1Mistral Large 4
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025October 6, 2026
Context window200K1.05M
Input $/Mtok$15.00$1.36
Output $/Mtok$75.00$4.18
Coding index27.255.3
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Mistral Large 4 for coding?

Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when what matters is LMArena Text: coding or Mystery game puzzles, where it leads.

Which is cheaper, Claude Opus 4.1 or Mistral Large 4?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Mistral Large 4 comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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