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Claude Sonnet 5 vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 18.0x less per output token than Claude Sonnet 5 ($0.555 vs $10.00 per million). Updated October 21, 2026; 36 benchmarks have a result for both.

Claude Sonnet 5Anthropic
Coding
57.7
Overall
63.2
Output $/M
$10.00
36
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
vs boards won of 36 shared

Claude Sonnet 5 or Mistral Small 3.1 24B: which to pick

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding.

Pick Mistral Small 3.1 24B for output tokens 18.0x cheaper ($0.555 vs $10.00 per million).

Shared results
36
Claude Sonnet 5 only
85
Mistral Small 3.1 24B only
2
Like-for-like categories
5 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 5 57.7 from 6 benchmarks, Mistral Small 3.1 24B not benchmarked.
Widest category
Math, 34.7 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: expert: Claude Sonnet 5 1489 against Mistral Small 3.1 24B 1257, 38.7 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5 $10.00 against Mistral Small 3.1 24B $0.555 per million output tokens, 18.0x apart.
Context window
Claude Sonnet 5 takes 1M tokens, Mistral Small 3.1 24B 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 Small 3.1 24BTies
Coding20
Reasoning50
Math20
Knowledge40
General230
All shared boards360
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Sonnet 5 and Mistral Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
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%Not measuredOnly Claude Sonnet 5 measured
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
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: coding14831309Claude Sonnet 5
LMArena Text: software and IT14741301Claude 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
SciCode10.7%Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 14 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Sonnet 5 and Mistral Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
AA Intelligence Index38.2Not measuredOnly Claude Sonnet 5 measured
Epoch Capabilities Index156.9Not measuredOnly Claude Sonnet 5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Claude Sonnet 5 and Mistral Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
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 apps1225Not 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: spreadsheets1021Not 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 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Sonnet 5 and Mistral Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
GPQA Diamond88.9%Not measuredOnly Claude Sonnet 5 measured
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%Not measuredOnly Claude Sonnet 5 measured
Humanity's Last Exam (Artificial Analysis run)41.3%Not measuredOnly Claude Sonnet 5 measured
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 prompts14611278Claude Sonnet 5
LMArena Text: expert14891257Claude Sonnet 5
LMArena Text: hard prompts in English14641290Claude Sonnet 5
LMArena Vision: diagrams12931119Claude Sonnet 5
LMArena Vision: homework13111158Claude Sonnet 5
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 5 and Mistral Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
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 work14811271Claude Sonnet 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 5 and Mistral Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
MMLU Pro87.5%Not measuredOnly Claude Sonnet 5 measured
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%Not measuredOnly Claude Sonnet 5 measured
MortgageTax (Vals AI)70.0%Not measuredOnly Claude Sonnet 5 measured
MedCode (Vals AI)47.5%Not measuredOnly Claude Sonnet 5 measured
SimpleQA Verified33.7%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: science14601265Claude Sonnet 5
LMArena Text: medicine and healthcare14421267Claude Sonnet 5
LMArena Text: legal and government14541271Claude Sonnet 5
LMArena Text: business and finance14361257Claude Sonnet 5
Neither model has a result on the other 7 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 Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
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 index230
General benchmarks for Claude Sonnet 5 and Mistral Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
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%Not measuredOnly Claude Sonnet 5 measured
LMCA50.0%Not measuredOnly Claude Sonnet 5 measured
Surface Evolver Bench60.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text14421277Claude Sonnet 5
LMArena Text: instruction following14521263Claude Sonnet 5
LMArena Text: creative writing14161252Claude Sonnet 5
LMArena Vision12731136Claude Sonnet 5
LMArena Text: English14501295Claude Sonnet 5
LMArena Text: non-English14311255Claude Sonnet 5
LMArena Text: Chinese14781253Claude Sonnet 5
LMArena Text: German14421266Claude Sonnet 5
LMArena Text: Japanese14221208Claude Sonnet 5
LMArena Text: Korean14121207Claude Sonnet 5
LMArena Text: French14631273Claude Sonnet 5
LMArena Text: Spanish14381284Claude Sonnet 5
LMArena Text: Russian14501263Claude Sonnet 5
LMArena Text: Polish14251242Claude Sonnet 5
LMArena Text: multi-turn14531270Claude Sonnet 5
LMArena Text: longer queries14621299Claude Sonnet 5
LMArena Text: writing and language14361268Claude Sonnet 5
LMArena Text: entertainment and media14111250Claude Sonnet 5
LMArena Vision: English12751157Claude Sonnet 5
LMArena Vision: Chinese13311155Claude Sonnet 5
LMArena Vision: reading text12881132Claude Sonnet 5
LMArena Vision: humor12611142Claude Sonnet 5
LMArena Vision: captioningNot measured1153Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing thingsNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: creative writing12461123Claude Sonnet 5
LMArena Document1466Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 11 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 Small 3.1 24B
BenchmarkClaude Sonnet 5Mistral Small 3.1 24BLeader
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 Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5$0.130Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Mistral Small 3.1 24B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5$0.500Fits in one request
Mistral Small 3.1 24B$0.076Exceeds the context window

Mistral Small 3.1 24B 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 Small 3.1 24B
SpecificationAnthropic Claude Sonnet 5Mistral Small 3.1 24B
MakerAnthropicMistral AI
WeightsNo public weights listedOpen weights
ReleasedJune 30, 2026March 17, 2025
Context window1M128K
Input $/Mtok$2.00$0.351
Output $/Mtok$10.00$0.555
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 Small 3.1 24B for coding?

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 18.0x cheaper ($0.555 vs $10.00 per million).

Which is cheaper, Claude Sonnet 5 or Mistral Small 3.1 24B?

Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for Claude Sonnet 5 only.

Which has the bigger context window, Claude Sonnet 5 or Mistral Small 3.1 24B?

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

How many benchmarks is the Claude Sonnet 5 vs Mistral Small 3.1 24B comparison based on?

36 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 Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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