Claude Fable 5

Made by Anthropic, released 9 Jun 2026. Epoch AI lists its access as “API access”. Appears strongest at coding, knowledge, maths and writing among the models listed here.

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In short

What it does well

  • Coding: Top tier (9th of 77 listed models)
  • Knowledge: Top tier (6th of 43 listed models)
  • Maths: Top tier (8th of 43 listed models)
  • Writing: Top tier (6th of 77 listed models)

Where it falls short

The four main ratings show no weakness. That is not evidence it has none.

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. 1,493 on Arena's scale · Source for Claude Fable 5 writing score (lmarena)
Coding
Top tierHow often people preferred its answers to coding questions. 1,518 on Arena's scale · Source for Claude Fable 5 coding score (lmarena)
Maths
Top tierHow many very hard maths problems it solved. 87.0% · Source for Claude Fable 5 maths score (epoch)
Knowledge
Top tierHow many short factual questions it answered correctly. 70.7% · Source for Claude Fable 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

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

Relatively weaker

Show every category we can see
Position in each Arena category
CategoryPositionArena scoreVotesSource
Expert-level prompts
Kind of request
7th of 771,535
95% range 1,526 to 1,544
4,990Source for Expert-level prompts
Hard prompts
Kind of request
8th of 771,508
95% range 1,503 to 1,512
29,412Source for Hard prompts
Long prompts
Kind of request
6th of 771,510
95% range 1,505 to 1,516
20,980Source for Long prompts
Longer conversations
Kind of request
6th of 771,503
95% range 1,496 to 1,511
7,354Source for Longer conversations
Chinese
Language
8th of 761,544
95% range 1,533 to 1,555
3,360Source for Chinese
English prompts
Language
9th of 771,498
95% range 1,493 to 1,504
19,239Source for English prompts
French
Language
5th of 721,507
95% range 1,490 to 1,523
1,582Source for French
German
Language
16th of 551,483
95% range 1,460 to 1,506
709Source for German
Japanese
Language
6th of 541,503
95% range 1,479 to 1,528
688Source for Japanese
Korean
Language
3rd of 541,488
95% range 1,466 to 1,510
839Source for Korean
Non-English prompts
Language
10th of 771,482
95% range 1,477 to 1,487
26,096Source for Non-English prompts
Russian
Language
8th of 771,502
95% range 1,494 to 1,511
5,181Source for Russian
Spanish
Language
7th of 701,493
95% range 1,477 to 1,509
1,433Source for Spanish
Entertainment, sport and media
Topic
6th of 771,482
95% range 1,475 to 1,489
11,846Source for Entertainment, sport and media
Law and government
Topic
11th of 761,498
95% range 1,488 to 1,508
3,755Source for Law and government
Medicine and health
Topic
23rd of 751,480
95% range 1,469 to 1,491
3,206Source for Medicine and health
Science
Topic
10th of 771,508
95% range 1,500 to 1,515
7,375Source for Science
Software and IT
Topic
9th of 771,512
95% range 1,507 to 1,518
16,769Source 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

It is rated Top tier on every main test where it has a result.

What it is

Maker
Anthropic
Release date (Epoch AI)
9 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 Fable family (USD ($ as shown; the page does not state a currency code); checked 28 Oct 2026)

  • Free ($0): Fable not available
  • Pro ($20 per month billed monthly, or $17 per month billed annually ($200 up front)): Fable usage credits
  • Max (From $100 per month): Fable 50% of weekly limits

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 Fable 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)
1,492
Arena score
95% range 1,487 to 1,496, 45,341 votes
Top tier effort: High, bradley-terry rating Claude Fable 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Fable 5 Arena text: overall preference score (lmarena)
Arena text: creative writing
Arena 'text' leaderboard, category creative_writing
1,493
Arena score
95% range 1,486 to 1,501, 9,760 votes
Top tier effort: High, bradley-terry rating Claude Fable 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Fable 5 Arena text: creative writing score (lmarena)
Arena text: coding
Arena 'text' leaderboard, category coding
1,518
Arena score
95% range 1,511 to 1,524, 11,629 votes
Top tier effort: High, bradley-terry rating Claude Fable 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Fable 5 Arena text: coding score (lmarena)
Arena text: maths
Arena 'text' leaderboard, category math
1,516
Arena score
95% range 1,504 to 1,529, 2,270 votes
Top tier effort: High, bradley-terry rating Claude Fable 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Fable 5 Arena text: maths score (lmarena)
Arena text: following instructions
Arena 'text' leaderboard, category instruction_following
1,503
Arena score
95% range 1,497 to 1,508, 15,981 votes
Top tier effort: High, bradley-terry rating Claude Fable 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Fable 5 Arena text: following instructions score (lmarena)
Arena text: business and management
Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations
1,480
Arena score
95% range 1,473 to 1,487, 8,918 votes
Top tier effort: High, bradley-terry rating Claude Fable 5 (High)
lmarena · text/latest
28 Oct 2026 Source for Claude Fable 5 Arena text: business and management score (lmarena)
Arena WebDev: building web apps
Arena 'webdev' leaderboard (Code Arena), category overall
1,624
Arena score
95% range 1,618 to 1,630, 16,951 votes
Top tier effort: High, bradley-terry rating Claude Fable 5 (High)
lmarena · webdev/latest
28 Oct 2026 Source for Claude Fable 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
87.0%
share of problems solved
standard error ±2.0 points
Top tier effort: max, best score across scorers claude-fable-5_max
epoch · frontiermath_tiers_1_3_v2.csv
9 Jun 2026 Source for Claude Fable 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
99.7%
share of problems solved
standard error ±0.3 points
Top tier effort: max, best score across scorers claude-fable-5_max
epoch · otis_mock_aime_2024_2025.csv
10 Jun 2026 Source for Claude Fable 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
85.9%
share of questions correct
standard error ±2.5 points
Behind the leaders effort: max, best score across scorers claude-fable-5_max
epoch · gpqa_diamond.csv
6 Aug 2026 Source for Claude Fable 5 GPQA Diamond score (epoch) · Run details for GPQA Diamond
SimpleQA Verified
SimpleQA Verified, benchmark released 2025-09-09
70.7%
share of questions correct
standard error ±1.4 points
Top tier effort: xhigh, best score across scorers claude-fable-5_xhigh
epoch · simpleqa_verified.csv
10 Aug 2026 Source for Claude Fable 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
53.5%
mean score over 5 attempts
no uncertainty figure published
Not rated (results use different tools) effort: xhigh, tool: claude-code, mean@5 claude-fable-5_unknown
epoch · frontiercode_external.csv
not provided Source for Claude Fable 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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