Claude Sonnet 5

Made by Anthropic, released 30 Jun 2026. Epoch AI lists its access as “API access”. No Top tier or Strong results yet among the models listed here.

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In short

What it does well

No Top tier or Strong ratings on the four main tests yet.

Where it falls short

  • Knowledge: Behind the leaders (38th of 43 listed models)
  • Writing: Behind the leaders (60th of 77 listed models)
  • Coding: Middle (40th of 77 listed models)
  • Maths: Middle (26th of 43 listed models)

What we don't know yet

  • Fixing real software bugs: Not enough data

The four ratings

  • Top tier
  • Strong
  • Middle
  • Behind the leaders
  • Not enough data

Ratings compare only the 77 models listed here, in quarters, best first. “Not enough data” means no result yet. It is never a low score.

Writing
Behind the leadersHow often people preferred its answers to writing prompts. 1,416 on Arena's scale · Source for Claude Sonnet 5 writing score (lmarena)
Coding
MiddleHow often people preferred its answers to coding questions. 1,484 on Arena's scale · Source for Claude Sonnet 5 coding score (lmarena)
Maths
MiddleHow many very hard maths problems it solved. 65.6% · Source for Claude Sonnet 5 maths score (epoch)
Knowledge
Behind the leadersHow many short factual questions it answered correctly. 33.7% · Source for Claude Sonnet 5 knowledge score (epoch)

Evidence completeness: Broad evidence, 12 of 13 tests have a result.

Where it is relatively stronger or weaker

This compares each kind of request with the model's own overall position among the 77 listed models, using Arena's votes. It is about performance on different languages, kinds of request and topics, not about political or social bias.

Relatively stronger

Relatively weaker

No category stands out as clearly weaker than its overall position.

Show every category we can see
Position in each Arena category
CategoryPositionArena scoreVotesSource
Expert-level prompts
Kind of request
33rd of 771,490
95% range 1,482 to 1,498
5,869Source for Expert-level prompts
Hard prompts
Kind of request
44th of 771,462
95% range 1,457 to 1,466
34,746Source for Hard prompts
Long prompts
Kind of request
36th of 771,463
95% range 1,458 to 1,468
24,337Source for Long prompts
Longer conversations
Kind of request
48th of 771,453
95% range 1,446 to 1,460
8,942Source for Longer conversations
Chinese
Language
59th of 761,478
95% range 1,468 to 1,488
4,099Source for Chinese
English prompts
Language
59th of 771,451
95% range 1,446 to 1,456
22,133Source for English prompts
French
Language
48th of 721,464
95% range 1,448 to 1,479
1,783Source for French
German
Language
46th of 551,440
95% range 1,419 to 1,461
844Source for German
Japanese
Language
34th of 541,422
95% range 1,399 to 1,444
814Source for Japanese
Korean
Language
40th of 541,411
95% range 1,391 to 1,432
917Source for Korean
Non-English prompts
Language
57th of 771,431
95% range 1,426 to 1,436
30,811Source for Non-English prompts
Russian
Language
45th of 771,450
95% range 1,441 to 1,458
6,149Source for Russian
Spanish
Language
56th of 701,441
95% range 1,425 to 1,457
1,524Source for Spanish
Entertainment, sport and media
Topic
59th of 771,412
95% range 1,405 to 1,418
13,672Source for Entertainment, sport and media
Law and government
Topic
51st of 761,453
95% range 1,444 to 1,462
4,498Source for Law and government
Medicine and health
Topic
56th of 751,444
95% range 1,434 to 1,454
3,799Source for Medicine and health
Science
Topic
46th of 771,462
95% range 1,454 to 1,469
8,725Source for Science
Software and IT
Topic
43rd of 771,475
95% range 1,469 to 1,480
20,391Source for Software and IT

Bias: what we can and can't see

Our sources do not measure political lean, stereotyping, flattery (agreeing with you too readily) or safety behaviour, so we cannot say how any model does on those. What we can show is above: where a model is relatively stronger or weaker across languages, kinds of request and topics. Also, people voting in Arena can favour answer style, such as length and formatting, and our numbers do not adjust for that. See what AI bias means and what these tests can tell you.

Best-supported use cases

This model is not among the options we recommend for any of the five tasks. That reflects the rules and the models listed, not a verdict on the model.

Where an alternative might be more suitable

What it is

Maker
Anthropic
Release date (Epoch AI)
30 Jun 2026
Access, as listed by Epoch AI
API access
Licence, as listed by Arena
Proprietary
Maker's country (Epoch AI)
United States of America
Last observation in our data
28 Oct 2026
Data last changed
29 Oct 2026, 14:36 UTC

We have not verified an official product page for this model, so we do not link to one.

How you can use it

Proprietary. The model's files are not published, so it is generally available only through its maker or partners the maker chooses.

How you can reach it (an app, a website, a developer API or a third-party tool) and what that costs are not covered by our benchmark data. Where we could verify prices from the maker's own pages, they are shown under Price. Epoch AI lists access as “API access”. See models, apps and harnesses and how AI pricing works.

Price

Price not independently verified

What Anthropic's own page says about the Sonnet family (USD ($ as shown; the page does not state a currency code); checked 28 Oct 2026)

  • Free ($0): Sonnet available
  • Pro ($20 per month billed monthly, or $17 per month billed annually ($200 up front)): Sonnet available
  • Max (From $100 per month): Sonnet available

The page marks plans against model families, not versions, so it does not say which version of a family a plan includes. Check that before relying on it.

See Claude plans and pricing (checked 28 Oct 2026). Page opened and read.

We never infer subscription prices from API prices. New to “tokens” and “per million”? See how AI pricing works.

Good to remember

  • Benchmarks are samples of tasks. None proves performance in every situation.
  • Arena scores come from people choosing between answers. That measures preference, not correctness.
  • Ratings are relative to the 77 models listed here. A different set would change them.
  • Sources test models at different settings. Each result shows the setting used, and we do not adjust it.

The evidence, for the curious

Show all 13 tests with settings and sources
All published results for Claude Sonnet 5. Ratings compare only the 77 models on this site.
TestResultRatingSetting usedSource identifierObservedLinks
Arena text: overall preference
Arena 'text' leaderboard (Bradley-Terry rating, no style control)
1,443
Arena score
95% range 1,439 to 1,447, 52,952 votes
Behind the leaders effort: High, bradley-terry rating Claude Sonnet 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5 Arena text: overall preference score (lmarena)
Arena text: creative writing
Arena 'text' leaderboard, category creative_writing
1,416
Arena score
95% range 1,409 to 1,423, 10,993 votes
Behind the leaders effort: High, bradley-terry rating Claude Sonnet 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5 Arena text: creative writing score (lmarena)
Arena text: coding
Arena 'text' leaderboard, category coding
1,484
Arena score
95% range 1,478 to 1,490, 14,080 votes
Middle effort: High, bradley-terry rating Claude Sonnet 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5 Arena text: coding score (lmarena)
Arena text: maths
Arena 'text' leaderboard, category math
1,469
Arena score
95% range 1,457 to 1,481, 2,449 votes
Strong effort: High, bradley-terry rating Claude Sonnet 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5 Arena text: maths score (lmarena)
Arena text: following instructions
Arena 'text' leaderboard, category instruction_following
1,453
Arena score
95% range 1,447 to 1,458, 18,658 votes
Strong effort: High, bradley-terry rating Claude Sonnet 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5 Arena text: following instructions score (lmarena)
Arena text: business and management
Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations
1,437
Arena score
95% range 1,430 to 1,444, 10,102 votes
Middle effort: High, bradley-terry rating Claude Sonnet 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5 Arena text: business and management score (lmarena)
Arena WebDev: building web apps
Arena 'webdev' leaderboard (Code Arena), category overall
1,540
Arena score
95% range 1,534 to 1,546, 16,832 votes
Middle effort: High, bradley-terry rating Claude Sonnet 5 (High)
lmarena · webdev/latest
28 Oct 2026 Source for Claude Sonnet 5 Arena WebDev: building web apps score (lmarena)
FrontierMath Tiers 1-3 (v2)
FrontierMath Tiers 1-3 v2 (private set), benchmark released 2026-06-12
65.6%
share of problems solved
standard error ±2.8 points
Middle effort: max, best score across scorers claude-sonnet-5_max
epoch · frontiermath_tiers_1_3_v2.csv
30 Jun 2026 Source for Claude Sonnet 5 FrontierMath Tiers 1-3 (v2) score (epoch) · Run details for FrontierMath Tiers 1-3 (v2)
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025, benchmark released 2024-12-19
80.0%
share of problems solved
standard error ±6.0 points
Behind the leaders effort: max, best score across scorers claude-sonnet-5_max
epoch · otis_mock_aime_2024_2025.csv
6 Aug 2026 Source for Claude Sonnet 5 OTIS Mock AIME 2024-2025 score (epoch) · Run details for OTIS Mock AIME 2024-2025
GPQA Diamond
GPQA Diamond, benchmark released 2023-11-20
80.3%
share of questions correct
standard error ±2.8 points
Behind the leaders effort: max, best score across scorers claude-sonnet-5_max
epoch · gpqa_diamond.csv
6 Aug 2026 Source for Claude Sonnet 5 GPQA Diamond score (epoch) · Run details for GPQA Diamond
SimpleQA Verified
SimpleQA Verified, benchmark released 2025-09-09
33.7%
share of questions correct
standard error ±1.5 points
Behind the leaders effort: max, best score across scorers claude-sonnet-5_max
epoch · simpleqa_verified.csv
27 Aug 2026 Source for Claude Sonnet 5 SimpleQA Verified score (epoch) · Run details for SimpleQA Verified
SWE-bench Verified (Epoch runs)Not enough data
FrontierCode (reported by Cognition)
FrontierCode, benchmark released 2026-06-08, aggregation Mean@5
42.7%
mean score over 5 attempts
no uncertainty figure published
Not rated (results use different tools) effort: xhigh, tool: claude-code, mean@5 claude-sonnet-5_unknown
epoch · frontiercode_external.csv
not provided Source for Claude Sonnet 5 FrontierCode (reported by Cognition) score (epoch) · Run details for FrontierCode (reported by Cognition)

Missing evidence

Not enough data for these tests:

  • SWE-bench Verified (Epoch runs)

Missing results are not low scores and do not count against the model.

Where a source gives no public run log, we cannot show the run behind the score. See data sources.

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