Claude Sonnet 5.5

Made by Anthropic, released 28 Sep 2026. Epoch AI lists its access as “API access”. Appears strongest at coding, maths and writing among the models listed here.

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In short

What it does well

  • Coding: Top tier (10th of 77 listed models)
  • Maths: Top tier (7th of 43 listed models)
  • Writing: Top tier (14th of 77 listed models)

Where it falls short

  • Knowledge: Middle (27th 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
Top tierHow often people preferred its answers to writing prompts. 1,470 on Arena's scale · Source for Claude Sonnet 5.5 writing score (lmarena)
Coding
Top tierHow often people preferred its answers to coding questions. 1,512 on Arena's scale · Source for Claude Sonnet 5.5 coding score (lmarena)
Maths
Top tierHow many very hard maths problems it solved. 88.8% · Source for Claude Sonnet 5.5 maths score (epoch)
Knowledge
MiddleHow many short factual questions it answered correctly. 46.5% · Source for Claude Sonnet 5.5 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

  • Spanish: 48th of 70 on questions asked in Spanish, against 25th of 77 overall. Source for Spanish
Show every category we can see
Position in each Arena category
CategoryPositionArena scoreVotesSource
Expert-level prompts
Kind of request
8th of 771,527
95% range 1,509 to 1,546
1,024Source for Expert-level prompts
Hard prompts
Kind of request
15th of 771,494
95% range 1,485 to 1,502
6,168Source for Hard prompts
Long prompts
Kind of request
11th of 771,494
95% range 1,484 to 1,504
4,212Source for Long prompts
Longer conversations
Kind of request
33rd of 771,468
95% range 1,452 to 1,484
1,445Source for Longer conversations
Chinese
Language
10th of 761,537
95% range 1,517 to 1,558
859Source for Chinese
English prompts
Language
15th of 771,484
95% range 1,473 to 1,494
3,741Source for English prompts
French
Language
12th of 721,498
95% range 1,468 to 1,527
407Source for French
Non-English prompts
Language
30th of 771,456
95% range 1,448 to 1,464
6,288Source for Non-English prompts
Russian
Language
33rd of 771,461
95% range 1,444 to 1,477
1,400Source for Russian
Spanish
Language
48th of 701,447
95% range 1,417 to 1,477
359Source for Spanish
Entertainment, sport and media
Topic
15th of 771,460
95% range 1,447 to 1,472
2,615Source for Entertainment, sport and media
Law and government
Topic
21st of 761,485
95% range 1,464 to 1,506
822Source for Law and government
Medicine and health
Topic
25th of 751,476
95% range 1,453 to 1,499
703Source for Medicine and health
Science
Topic
22nd of 771,487
95% range 1,472 to 1,502
1,704Source for Science
Software and IT
Topic
13th of 771,504
95% range 1,494 to 1,515
3,416Source 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)
28 Sep 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

Arena settings 'xHigh'; Epoch runs 'max' (FrontierCode: 'xhigh').

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 5.5. 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)
1,473
Arena score
95% range 1,466 to 1,480, 10,033 votes
Strong effort: xHigh, bradley-terry rating Claude Sonnet 5.5 (xHigh)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5.5 Arena text: overall preference score (lmarena)
Arena text: creative writing
Arena 'text' leaderboard, category creative_writing
1,470
Arena score
95% range 1,457 to 1,484, 2,278 votes
Top tier effort: xHigh, bradley-terry rating Claude Sonnet 5.5 (xHigh)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5.5 Arena text: creative writing score (lmarena)
Arena text: coding
Arena 'text' leaderboard, category coding
1,512
Arena score
95% range 1,499 to 1,525, 2,339 votes
Top tier effort: xHigh, bradley-terry rating Claude Sonnet 5.5 (xHigh)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5.5 Arena text: coding score (lmarena)
Arena text: maths
Arena 'text' leaderboard, category math
1,504
Arena score
95% range 1,478 to 1,530, 497 votes
Top tier effort: xHigh, bradley-terry rating Claude Sonnet 5.5 (xHigh)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5.5 Arena text: maths score (lmarena)
Arena text: following instructions
Arena 'text' leaderboard, category instruction_following
1,492
Arena score
95% range 1,481 to 1,503, 3,357 votes
Top tier effort: xHigh, bradley-terry rating Claude Sonnet 5.5 (xHigh)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5.5 Arena text: following instructions score (lmarena)
Arena text: business and management
Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations
1,466
Arena score
95% range 1,451 to 1,481, 1,666 votes
Strong effort: xHigh, bradley-terry rating Claude Sonnet 5.5 (xHigh)
lmarena · text/latest
28 Oct 2026 Source for Claude Sonnet 5.5 Arena text: business and management score (lmarena)
Arena WebDev: building web apps
Arena 'webdev' leaderboard (Code Arena), category overall
1,770
Arena score
95% range 1,758 to 1,781, 4,469 votes
Top tier effort: xHigh, bradley-terry rating Claude Sonnet 5.5 (xHigh)
lmarena · webdev/latest
28 Oct 2026 Source for Claude Sonnet 5.5 Arena WebDev: building web apps score (lmarena)
FrontierMath Tiers 1-3 (v2)
FrontierMath Tiers 1-3 v2 (private set), benchmark released 2026-06-12
88.8%
share of problems solved
standard error ±1.9 points
Top tier effort: max, best score across scorers claude-sonnet-5-5_max
epoch · frontiermath_tiers_1_3_v2.csv
29 Sep 2026 Source for Claude Sonnet 5.5 FrontierMath Tiers 1-3 (v2) score (epoch)
No public run log in the data file.
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025, benchmark released 2024-12-19
100.0%
share of problems solved
standard error ±0.0 points
Top tier effort: max, best score across scorers claude-sonnet-5-5_max
epoch · otis_mock_aime_2024_2025.csv
29 Sep 2026 Source for Claude Sonnet 5.5 OTIS Mock AIME 2024-2025 score (epoch)
No public run log in the data file.
GPQA Diamond
GPQA Diamond, benchmark released 2023-11-20
95.6%
share of questions correct
standard error ±1.4 points
Top tier effort: max, best score across scorers claude-sonnet-5-5_max
epoch · gpqa_diamond.csv
29 Sep 2026 Source for Claude Sonnet 5.5 GPQA Diamond score (epoch)
No public run log in the data file.
SimpleQA Verified
SimpleQA Verified, benchmark released 2025-09-09
46.5%
share of questions correct
standard error ±1.6 points
Middle effort: max, best score across scorers claude-sonnet-5-5_max
epoch · simpleqa_verified.csv
29 Sep 2026 Source for Claude Sonnet 5.5 SimpleQA Verified score (epoch)
No public run log in the data file.
SWE-bench Verified (Epoch runs)Not enough data
FrontierCode (reported by Cognition)
FrontierCode, benchmark released 2026-06-08, aggregation Mean@5
52.1%
mean score over 5 attempts
no uncertainty figure published
Not rated (results use different tools) effort: xhigh, tool: claude-code, mean@5 claude-sonnet-5-5_xhigh
epoch · frontiercode_external.csv
not provided Source for Claude Sonnet 5.5 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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