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Claude Sonnet 4.5 vs Mistral Large 4

Mistral Large 4 leads Claude Sonnet 4.5 on coding, 56.4 to 39.5 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; 51 benchmarks have a result for both.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
26
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
24
vs boards won of 51 shared, 1 tied

Claude Sonnet 4.5 or Mistral Large 4: which to pick

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5.

Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
51
Claude Sonnet 4.5 only
44
Mistral Large 4 only
30
Like-for-like categories
7 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 4.5 39.5 from 3 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Coding, 20.5 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 4.5 22.6% against Mistral Large 4 78.4%, 55.8 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Mistral Large 4 $4.18 per million output tokens, 3.6x apart.
Context window
Claude Sonnet 4.5 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 4.5BarsMistral Large 4Ties
Coding24
Intelligence02
Reasoning321 tie
Math24
Knowledge51
Web design17
General134
All shared boards26241 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDev13941543Mistral Large 4
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)22.6%78.4%Mistral Large 4
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-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: coding14881478Claude Sonnet 4.5
LMArena Text: software and IT14731467Claude Sonnet 4.5
LMArena WebDev: React13861559Mistral Large 4
LMArena WebDev: HTML13991487Mistral Large 4
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
AA Intelligence Index20.738.4Mistral Large 4
Epoch Capabilities Index146.7150.0Mistral Large 4
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
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 horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 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)79.3%Not measuredOnly Claude Sonnet 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.0%Only Mistral Large 4 measured
GPQA Diamond (Epoch AI run)82.3%88.1%Mistral Large 4
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%33.0%Mistral Large 4
Mystery game puzzles17.0%17.0%Tie
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621444Claude Sonnet 4.5
LMArena Text: expert14831444Claude Sonnet 4.5
LMArena Text: hard prompts in English14711442Claude Sonnet 4.5
LMArena Vision: diagramsNot measured1288Only Mistral Large 4 measured
Kagi LLM Benchmark57.9%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%98.3%Mistral Large 4
FrontierMath, tiers 1 to 323.9%58.6%Mistral Large 4
FrontierMath, tier 42.4%26.8%Mistral Large 4
ProofBench19.0%10.0%Claude Sonnet 4.5
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491469Mistral Large 4
LMArena Text: mathematical work14621462Claude Sonnet 4.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
Knowledge benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%40.7%Claude Sonnet 4.5
SimpleQA Verified30.7%20.0%Claude Sonnet 4.5
LMArena Text: science14481448Mistral Large 4
LMArena Text: medicine and healthcare14441433Claude Sonnet 4.5
LMArena Text: legal and government14511425Claude Sonnet 4.5
LMArena Text: business and finance14401439Claude Sonnet 4.5
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
Design Arena: websites11891257Mistral Large 4
Design Arena: UI components11701272Mistral Large 4
Design Arena: game dev11661225Mistral Large 4
Design Arena: data viz11671275Mistral Large 4
Design Arena: 3D11571252Mistral Large 4
Design Arena: all code categories11821259Mistral Large 4
Design Arena: SVG11151232Mistral Large 4
Design Arena: ASCII art12051202Claude Sonnet 4.5
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index134
General benchmarks for Claude Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%80.4%Claude Sonnet 4.5
Long context reasoning (AA-LCR)Not measured81.3%Only Mistral Large 4 measured
DTBench83.2%88.2%Mistral Large 4
LMCA38.8%35.8%Claude Sonnet 4.5
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text14381431Claude Sonnet 4.5
LMArena Text: instruction following14591422Claude Sonnet 4.5
LMArena Text: creative writing14421363Claude Sonnet 4.5
LMArena VisionNot measured1272Only Mistral Large 4 measured
LMArena Text: English14501433Claude Sonnet 4.5
LMArena Text: non-English14251422Claude Sonnet 4.5
LMArena Text: Chinese14601492Mistral Large 4
LMArena Text: German1427Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Japanese13901415Mistral Large 4
LMArena Text: Korean1402Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: French14591492Mistral Large 4
LMArena Text: Spanish14581455Claude Sonnet 4.5
LMArena Text: Russian14371417Claude Sonnet 4.5
LMArena Text: Polish1423Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: multi-turn14651435Claude Sonnet 4.5
LMArena Text: longer queries14751428Claude Sonnet 4.5
LMArena Text: writing and language14421386Claude Sonnet 4.5
LMArena Text: entertainment and media14281378Claude Sonnet 4.5
LMArena Vision: EnglishNot measured1283Only Mistral Large 4 measured
LMArena Vision: reading textNot measured1284Only Mistral Large 4 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 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 Sonnet 4.5 and Mistral Large 4
BenchmarkClaude Sonnet 4.5Mistral 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 4.5$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 4.5$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 4.5$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 4.5 and Mistral Large 4
SpecificationAnthropic Claude Sonnet 4.5Mistral Large 4
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2025October 6, 2026
Context window1M1.05M
Input $/Mtok$3.00$1.36
Output $/Mtok$15.00$4.18
Coding index39.556.4
Independent measurements behind it35
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Mistral Large 4 for coding?

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5. Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Sonnet 4.5 or Mistral Large 4?

Claude Sonnet 4.5 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 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Mistral Large 4?

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

How many benchmarks is the Claude Sonnet 4.5 vs Mistral Large 4 comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-4-5-vs-mistral-large-4-0">LLMBenchmark.ai, Claude Sonnet 4.5 vs Mistral Large 4</a></p>