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Claude Sonnet 5 vs Mistral Large

Updated October 21, 2026. 37 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 5Anthropic
Coding
57.7
Overall
38.2
Output $/M
$10.00
37
Mistral LargeMistral AI
Coding
No data
Overall
5.8
Output $/M
$6.00
0
vs boards won of 37 shared

Decision reading

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; Mistral Large has none, so the two cannot be ranked on coding.

Mistral Large has the edge where output tokens cost 1.7x less.

Shared results
37
Claude Sonnet 5 only
83
Mistral Large only
7
Like-for-like categories
6 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 Sonnet 5 57.7 from 6 benchmarks, Mistral Large not benchmarked.
Widest category
Reasoning, 41.4 points apart on average over 6 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Claude Sonnet 5 91.1% against Mistral Large 35.1%, 56.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5 $10.00 against Mistral Large $6.00 per million output tokens, 1.7x apart.
Context window
Claude Sonnet 5 takes 1M tokens, Mistral Large 128K.

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 5BarsMistral LargeTies
Coding30
Intelligence20
Reasoning60
Math20
Knowledge60
General180
All shared boards370
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
LiveBench coding74.7%Not measuredOnly Claude Sonnet 5 measured
LMArena WebDev1540Not measuredOnly Claude Sonnet 5 measured
AA Coding Index71.5Not measuredOnly Claude Sonnet 5 measured
LiveCodeBench (Vals AI)82.4%37.1%Claude Sonnet 5
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench (Vals AI)81.3%Not measuredOnly Claude Sonnet 5 measured
Code migration (Vals AI)44.4%Not measuredOnly Claude Sonnet 5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Sonnet 5 measured
IOI (Vals AI)45.0%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 2.1 (Vals AI)74.5%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench 1-100 (Vals AI)13.8%Not measuredOnly Claude Sonnet 5 measured
SkillsBench (Vals AI)46.5%Not measuredOnly Claude Sonnet 5 measured
CyberBench (Vals AI)70.3%Not measuredOnly Claude Sonnet 5 measured
LiveCodeBench (Artificial Analysis run)Not measured17.8%Only Mistral Large measured
SciCode54.3%Not measuredOnly Claude Sonnet 5 measured
FrontierCode42.7%Not measuredOnly Claude Sonnet 5 measured
GSO-Bench37.3%Not measuredOnly Claude Sonnet 5 measured
WeirdML68.8%Not measuredOnly Claude Sonnet 5 measured
ALE-Bench1463.1Not measuredOnly Claude Sonnet 5 measured
LMArena Text: coding14831275Claude Sonnet 5
LMArena Text: software and IT14741274Claude Sonnet 5
LMArena WebDev: React1541Not measuredOnly Claude Sonnet 5 measured
LMArena WebDev: HTML1527Not measuredOnly Claude Sonnet 5 measured
LMArena WebDev: from an image1540Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
AA Intelligence Index38.25.8Claude Sonnet 5
Epoch Capabilities Index156.9122.1Claude Sonnet 5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
AA Agentic Index43.6Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building web apps1245Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building mobile apps1215Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building Android apps1231Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building Godot games1225Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building games1227Not measuredOnly Claude Sonnet 5 measured
Design Arena: HTML slides1218Not measuredOnly Claude Sonnet 5 measured
Design Arena: PowerPoint slides1216Not measuredOnly Claude Sonnet 5 measured
Design Arena: spreadsheets1002Not measuredOnly Claude Sonnet 5 measured
LiveBench research82.8%Not measuredOnly Claude Sonnet 5 measured
LiveBench browser72.0%Not measuredOnly Claude Sonnet 5 measured
LiveBench long agentic39.0%Not measuredOnly Claude Sonnet 5 measured
SREBench (Vals AI)0.4%Not measuredOnly Claude Sonnet 5 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Sonnet 5 measured
Tax Agent Bench (Vals AI)29.4%Not measuredOnly Claude Sonnet 5 measured
Legal Research Bench (Vals AI)41.8%Not measuredOnly Claude Sonnet 5 measured
Excel Modeling Benchmark (Vals AI)66.3%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Claude Sonnet 5 measured
APEX-Agents54.5%Not measuredOnly Claude Sonnet 5 measured
Vending-Bench 2$6,378Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
GPQA Diamond88.9%47.7%Claude Sonnet 5
LiveBench reasoning88.7%Not measuredOnly Claude Sonnet 5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Sonnet 5 measured
GPQA Diamond (Artificial Analysis run)91.1%35.1%Claude Sonnet 5
Humanity's Last Exam (Artificial Analysis run)41.3%3.5%Claude Sonnet 5
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly Claude Sonnet 5 measured
SimpleBench60.6%Not measuredOnly Claude Sonnet 5 measured
Chess puzzles45.0%Not measuredOnly Claude Sonnet 5 measured
Mystery game puzzles35.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: hard prompts14611257Claude Sonnet 5
LMArena Text: expert14891208Claude Sonnet 5
LMArena Text: hard prompts in English14641268Claude Sonnet 5
LMArena Vision: diagrams1293Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
AIMENot measured9.2%Only Mistral Large measured
MATH 500 (Vals AI)Not measured74.4%Only Mistral Large measured
MGSM (Vals AI)Not measured87.2%Only Mistral Large measured
OTIS Mock AIME94.7%Not measuredOnly Claude Sonnet 5 measured
FrontierMath, tiers 1 to 365.6%Not measuredOnly Claude Sonnet 5 measured
FrontierMath, tier 429.3%Not measuredOnly Claude Sonnet 5 measured
ProofBench77.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: math14671261Claude Sonnet 5
LMArena Text: mathematical work14811257Claude Sonnet 5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
MMLU Pro87.5%69.7%Claude Sonnet 5
LegalBench (Vals AI)83.9%Not measuredOnly Claude Sonnet 5 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Sonnet 5 measured
TaxEval (Vals AI)75.6%63.8%Claude Sonnet 5
MortgageTax (Vals AI)70.0%Not measuredOnly Claude Sonnet 5 measured
MedQA (Vals AI)Not measured76.2%Only Mistral Large measured
MedCode (Vals AI)47.5%Not measuredOnly Claude Sonnet 5 measured
MMLU Pro (Artificial Analysis run)Not measured51.5%Only Mistral Large measured
SimpleQA Verified33.7%Not measuredOnly Claude Sonnet 5 measured
MMLUNot measured68.8%Only Mistral Large measured
LMArena Text: science14601260Claude Sonnet 5
LMArena Text: medicine and healthcare14421255Claude Sonnet 5
LMArena Text: legal and government14541275Claude Sonnet 5
LMArena Text: business and finance14361238Claude Sonnet 5
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
Design Arena: websites1274Not measuredOnly Claude Sonnet 5 measured
Design Arena: UI components1280Not measuredOnly Claude Sonnet 5 measured
Design Arena: game dev1278Not measuredOnly Claude Sonnet 5 measured
Design Arena: data viz1251Not measuredOnly Claude Sonnet 5 measured
Design Arena: 3D1261Not measuredOnly Claude Sonnet 5 measured
Design Arena: all code categories1276Not measuredOnly Claude Sonnet 5 measured
Design Arena: SVG1193Not measuredOnly Claude Sonnet 5 measured
Design Arena: ASCII art1207Not measuredOnly Claude Sonnet 5 measured
LiveBench design82.0%Not measuredOnly Claude Sonnet 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
LiveBench data analysis71.7%Not measuredOnly Claude Sonnet 5 measured
Public Benefits Bench (Vals AI)66.0%Not measuredOnly Claude Sonnet 5 measured
SAGE (Vals AI)48.9%Not measuredOnly Claude Sonnet 5 measured
MedScribe (Vals AI)76.0%Not measuredOnly Claude Sonnet 5 measured
Vals Multimodal Index68.8%Not measuredOnly Claude Sonnet 5 measured
Long context reasoning (AA-LCR)82.0%Not measuredOnly Claude Sonnet 5 measured
DTBench92.5%60.8%Claude Sonnet 5
LMCA50.0%Not measuredOnly Claude Sonnet 5 measured
Surface Evolver Bench60.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text14421265Claude Sonnet 5
LMArena Text: instruction following14521249Claude Sonnet 5
LMArena Text: creative writing14161242Claude Sonnet 5
LMArena Vision1273Not measuredOnly Claude Sonnet 5 measured
LMArena Text: English14501284Claude Sonnet 5
LMArena Text: non-English14311235Claude Sonnet 5
LMArena Text: Chinese14781239Claude Sonnet 5
LMArena Text: German14421242Claude Sonnet 5
LMArena Text: Japanese14221170Claude Sonnet 5
LMArena Text: Korean14121202Claude Sonnet 5
LMArena Text: French14631325Claude Sonnet 5
LMArena Text: Spanish14381268Claude Sonnet 5
LMArena Text: Russian14501252Claude Sonnet 5
LMArena Text: Polish14251157Claude Sonnet 5
LMArena Text: multi-turn14531260Claude Sonnet 5
LMArena Text: longer queries14621261Claude Sonnet 5
LMArena Text: writing and language14361261Claude Sonnet 5
LMArena Text: entertainment and media14111230Claude Sonnet 5
LMArena Vision: English1275Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: Chinese1331Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: reading text1288Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: humor1261Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: creative writing1246Not measuredOnly Claude Sonnet 5 measured
LMArena Document1466Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5 and Mistral Large
BenchmarkClaude Sonnet 5Mistral LargeLeader
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 5$0.0070Fits in one request
Mistral Large$0.0050Fits in one request

Mistral Large costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5$0.130Fits in one request
Mistral Large$0.118Fits in one request

Mistral Large costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5$0.500Fits in one request
Mistral Large$0.460Exceeds the context window

Mistral Large 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 5 and Mistral Large
SpecificationAnthropic Claude Sonnet 5Mistral Large
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 30, 2026February 26, 2024
Context window1M128K
Input $/Mtok$2.00$2.00
Output $/Mtok$10.00$6.00
Coding index57.7Not benchmarked
Independent measurements behind it60
Cost per solved task$1.87Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5 better than Mistral Large for coding?

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; Mistral Large has none, so the two cannot be ranked on coding. Mistral Large has the edge where output tokens cost 1.7x less.

Which is cheaper, Claude Sonnet 5 or Mistral Large?

Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Mistral Large costs $2.00 and $6.00. Cost per solved task is known for Claude Sonnet 5 only.

Which has the bigger context window, Claude Sonnet 5 or Mistral Large?

Claude Sonnet 5, with 1M tokens against 128K.

How many benchmarks is the Claude Sonnet 5 vs Mistral Large comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5's coding index rests on 6 independent benchmarks and Mistral Large's on 0. Where only one model has a result, the page says so instead of naming a winner.

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