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Claude Sonnet 4.6 vs Mistral Large 4

Claude Sonnet 4.6 leads Mistral Large 4 on coding, 57.3 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 3.6x less per output token ($4.18 vs $15.00 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace Mistral Large 4
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
46
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
21
vs boards won of 67 shared

Claude Sonnet 4.6 or Mistral Large 4: which to pick

Claude Sonnet 4.6 and Mistral Large 4 are level for coding, 57.3 against 56.4 on the Vibe Coding Index, so price and context decide.

Pick Mistral Large 4 for output tokens 3.6x cheaper ($4.18 vs $15.00 per million) and a larger context window (1.05M against 1M tokens). Pick Claude Sonnet 4.6 for work measured by LiveBench coding or Code migration (Vals AI), where it leads.

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
67
Claude Sonnet 4.6 only
51
Mistral Large 4 only
14
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 Sonnet 4.6 57.3 from 5 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 18.0 points apart on average over 7 shared benchmarks.
Widest single gap
LiveBench browser: Claude Sonnet 4.6 68.0% against Mistral Large 4 8.0%, 60.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Mistral Large 4 $4.18 per million output tokens, 3.6x apart.
Context window
Claude Sonnet 4.6 takes 1M 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 Sonnet 4.6BarsMistral Large 4Ties
Coding55
Intelligence11
Agentic work52
Reasoning54
Math22
Knowledge50
Web design63
General174
All shared boards4621
CodingLike-for-likeSix of these boards feed the Vibe Coding Index55
Coding benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
LiveBench coding66.6%60.0%Claude Sonnet 4.6
LMArena WebDev15231543Mistral Large 4
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)55.8%78.4%Mistral Large 4
Code migration (Vals AI)39.9%30.6%Claude Sonnet 4.6
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 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
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
SciCode50.1%54.2%Mistral Large 4
Terminal-Bench Hard (Artificial Analysis run)53.0%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%39.4%Mistral Large 4
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: coding15031478Claude Sonnet 4.6
LMArena Text: software and IT14911467Claude Sonnet 4.6
LMArena WebDev: React15121559Mistral Large 4
LMArena WebDev: HTML15271487Claude Sonnet 4.6
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
AA Intelligence Index30.138.4Mistral Large 4
Epoch Capabilities Index152.8150.0Claude Sonnet 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index52
Agentic work benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%28.1%Claude Sonnet 4.6
LiveBench browser68.0%8.0%Claude Sonnet 4.6
LiveBench long agentic23.1%11.8%Claude Sonnet 4.6
Finance Agent (Vals AI)51.0%54.7%Mistral Large 4
Tax Agent Bench (Vals AI)25.8%30.4%Mistral Large 4
Legal Research Bench (Vals AI)38.5%31.7%Claude Sonnet 4.6
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)60.2%56.2%Claude Sonnet 4.6
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
τ²-Bench Telecom79.5%Not measuredOnly Claude Sonnet 4.6 measured
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%83.9%Claude Sonnet 4.6
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%Not measuredOnly Claude Sonnet 4.6 measured
Humanity's Last Exam (Artificial Analysis run)33.6%35.0%Mistral Large 4
GPQA Diamond (Epoch AI run)87.4%88.1%Mistral Large 4
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%33.0%Mistral Large 4
Mystery game puzzles16.0%17.0%Mistral Large 4
LMArena Text: hard prompts14851444Claude Sonnet 4.6
LMArena Text: expert15001444Claude Sonnet 4.6
LMArena Text: hard prompts in English14931442Claude Sonnet 4.6
LMArena Vision: diagrams13061288Claude Sonnet 4.6
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%98.3%Mistral Large 4
FrontierMath, tiers 1 to 3Not measured58.6%Only Mistral Large 4 measured
FrontierMath, tier 4Not measured26.8%Only Mistral Large 4 measured
ProofBench45.0%10.0%Claude Sonnet 4.6
LMArena Text: math14621469Mistral Large 4
LMArena Text: mathematical work14831462Claude Sonnet 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MedCode (Vals AI)Not measured40.7%Only Mistral Large 4 measured
SimpleQA Verified35.5%20.0%Claude Sonnet 4.6
LMArena Text: science14741448Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511433Claude Sonnet 4.6
LMArena Text: legal and government14701425Claude Sonnet 4.6
LMArena Text: business and finance14641439Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index63
Web design benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
Design Arena: websites12841257Claude Sonnet 4.6
Design Arena: UI components12691272Mistral Large 4
Design Arena: game dev12581225Claude Sonnet 4.6
Design Arena: data viz12781275Claude Sonnet 4.6
Design Arena: 3D12341252Mistral Large 4
Design Arena: all code categories12751259Claude Sonnet 4.6
Design Arena: SVG11961232Mistral Large 4
Design Arena: ASCII art12351202Claude Sonnet 4.6
LiveBench design71.8%65.6%Claude Sonnet 4.6
GeneralLike-for-likePublic boards, shown as published, kept out of the index174
General benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral Large 4Leader
LiveBench data analysis76.1%76.5%Mistral Large 4
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
MedScribe (Vals AI)Not measured80.4%Only Mistral Large 4 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%Not measuredOnly Claude Sonnet 4.6 measured
Long context reasoning (AA-LCR)80.0%81.3%Mistral Large 4
DTBench89.9%88.2%Claude Sonnet 4.6
LMCA46.5%35.8%Claude Sonnet 4.6
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581431Claude Sonnet 4.6
LMArena Text: instruction following14761422Claude Sonnet 4.6
LMArena Text: creative writing14351363Claude Sonnet 4.6
LMArena Vision12831272Claude Sonnet 4.6
LMArena Text: English14721433Claude Sonnet 4.6
LMArena Text: non-English14401422Claude Sonnet 4.6
LMArena Text: Chinese14911492Mistral Large 4
LMArena Text: German1428Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Japanese14201415Claude Sonnet 4.6
LMArena Text: Korean1410Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: French14651492Mistral Large 4
LMArena Text: Spanish14641455Claude Sonnet 4.6
LMArena Text: Russian14401417Claude Sonnet 4.6
LMArena Text: Polish1443Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: multi-turn14641435Claude Sonnet 4.6
LMArena Text: longer queries14791428Claude Sonnet 4.6
LMArena Text: writing and language14441386Claude Sonnet 4.6
LMArena Text: entertainment and media14311378Claude Sonnet 4.6
LMArena Vision: English12981283Claude Sonnet 4.6
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text12961284Claude Sonnet 4.6
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.6 and Mistral Large 4
BenchmarkClaude Sonnet 4.6Mistral 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 Sonnet 4.6$0.011Fits in one request
Mistral Large 4$0.0034Fits in one request

Mistral Large 4 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
Mistral Large 4$0.081Fits in one request

Mistral Large 4 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
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 Sonnet 4.6 and Mistral Large 4
SpecificationAnthropic Claude Sonnet 4.6Mistral Large 4
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026October 6, 2026
Context window1M1.05M
Input $/Mtok$3.00$1.36
Output $/Mtok$15.00$4.18
Coding index57.356.4
Independent measurements behind it55
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than Mistral Large 4 for coding?

Claude Sonnet 4.6 and Mistral Large 4 are level for coding, 57.3 against 56.4 on the Vibe Coding Index, so price and context decide. Pick Mistral Large 4 for output tokens 3.6x cheaper ($4.18 vs $15.00 per million) and a larger context window (1.05M against 1M tokens). Pick Claude Sonnet 4.6 for work measured by LiveBench coding or Code migration (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 4.6 or Mistral Large 4?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.6 vs Mistral Large 4 comparison based on?

67 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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