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AnthropicUnited States· released Nov 2026

Claude Fable 5.2

Best published result on 10 of the 14 tests it has taken.

Anthropic, United States. One of 16 models from this lab on the Index.

Third-party publishedMedium confidence (7+ comparable tests, 3+ Index categories)

Snapshot November 10, 2026

OpenCharts Index

92.7

Ranked #2 (1 to 3) of 80 · 7.3% behind the frontier on average · 14 comparable tests · 3 counting categories

Part of this Index is an estimate. On the 3 categories it is tested in, it averages 94.9. The rest is filled in from models tested in every category, because it has too few results to count there yet: Coding, Multimodal. Such estimates have been within 4.1 points about nine times in ten.

Its band runs from 88.6 to 96.8: where the Index could land once it is tested in every category, or if any single test were dropped. That covers #1 to #3, and neighbours inside that range are ties.

99.7HARD SET

4 of 5 hardest tests · share of the frontier

Distance to today's frontier on the hardest tests. Not a measure of intelligence.

What it's known for

Claude Fable 5.2, in 14 results.

Strongest in math (99.9) and reasoning (99.0). It holds the best published result on ARC-AGI-1, Chess Puzzles and EBR-bench and 7 more. It trails the frontier most in agentic, 14.1% behind on average. No comparable results yet in coding and human preference. Between 5% and 10% behind the best published results, on average. Part of its Index is an estimate. It has too few results in coding and multimodal for those categories to count, so they are filled in from models tested in every category. On the categories that do count it averages 94.9. Across its band it could sit anywhere from #1 to #3.

Strongest category

Math

Competition and research mathematics, graded on the final answer or the proof.

99.9

Mean of 4 of the category's 4 comparable tests. Counts toward the Index.

Best single result

ARC-AGI-1

Solve the original Abstraction and Reasoning Corpus: small grids, a handful of examples, one hidden rule.

98.5%

Best published result of 67 models.

The first ARC set is close to saturated at the frontier, so it now shows whether smaller models can generalize at all.

Where it trails

SpireClimb

Win a run of a deck-building strategy game at its hardest setting, playing from screenshots with a mouse and a keyboard.

19.6%

42.3% behind the best published result (34.0%) · #4 of 9.

It tests using a computer the way a person does, and decisions whose cost only shows up much later.

Not measured yet

No comparable result yet in these 2 categories. A blank is a blank, never a zero, and it does not lower the Index.

  • Coding
  • Human preference

Covered, but not averaged into the Index:

  • Knowledgesingle-test category, shown beside the Index · 100.0
  • Multimodal1 of 4 tests · needs 2 · mean 100.0
Every score, with its source

See it at work

What Claude Fable 5.2 was asked to do, and how it did.

Every test it has taken, by category, with the kind of task it faced, who produced the number and where the result landed against the best published one. The examples are original and illustrative, never items from the datasets themselves.

Knowledge · mean 100.0 across 1 comparable test · a single-test category, shown beside the Index and never averaged into it

Answer a short factual question exactly, without searching, or say you do not know.

94.0%

best published result
of 75 models

max

Source: Epoch AI (internal runs)

Every result is read against the best published one on its test: percent scores as a share of the best above chance, Arena ratings as the expected win rate against the board leader, open-ended values on a log scale. Sitting a harder exam never lowers a model. Every number links to the publisher that produced it.

Head to head

Claude Fable 5.2 against whoever you pick.

Choose a rival. Every counted test both have taken appears side by side as a share of the best published result on that test, with the category means above. A win is a higher share; a gap under 2 points is a tie, because one item on a 45-problem exam is 2.2 points and publishers' own standard errors are of that order.

Claude Fable 5.2

#2·Index 92.7A

7 : 2

wins · 5 ties · 14 shared

GPT-6 Astra

#1·Index 93.7A

Claude Fable 5.2 comes out ahead on 7 of the 14 tests both have taken.

Category means

  • Reasoning

    99.0
    96.1
  • Knowledge

    100.0
    80.4
  • Coding

    —
    93.4
  • Math

    99.9
    98.8
  • Agentic

    85.9
    90.6
  • Multimodal

    100.0
    89.6
  • Human preference

    —
    85.2

Shared tests · biggest gaps first

Bars are distances to the best published result on each test (percent scores above chance, Arena ratings as win rate against the leader, open-ended values on a log scale). Raw values as the publishers report them.

Open GPT-6 Astra

Scores

Every test, every source

The best published run per benchmark, the raw value as the publisher reports it, who produced the number, how close it comes to the best published result on that test, and where the model sits among every model scored on it. Percent scores are read above chance, Arena ratings as a win rate against the board leader, open-ended values on a log scale. A test with too few models to compare against is shown but not counted, and so is an archived test: one whose publisher no longer covers new models.

Category means

  • Reasoning99.0 · 5/8
  • Knowledgebeside100.0 · 1/1
  • Coding—
  • Math99.9 · 4/4
  • Agentic85.9 · 3/6
  • Multimodal100.0 · 1/4
  • Human preference—
  • Long context—

Mean · tests taken of the category's comparable tests. A faded category either rests on fewer than half of them or is a single-test category (marked “beside”), which is shown next to the Index and never averaged into it.

GPQA DiamondEpoch-runReasoning

93.9%

96.5% of the best (96.4%), above chance
85th percentile of 96 · n = 198

max

Source: Epoch AI — AI Benchmarking Hub
ARC-AGI-2LeaderboardReasoning

93.8%

98.7% of the best (95.0%)
97th percentile of 67 · n = 120

xhigh

Source: Epoch AI — AI Benchmarking Hub
ARC-AGI-1LeaderboardReasoning

98.5%

best published result
of 67 models

xhigh

Source: Epoch AI — AI Benchmarking Hub
Chess PuzzlesEpoch-runReasoning

79.0%

best published result
of 76 models

max

Source: Epoch AI — AI Benchmarking Hub
Mystery Game PuzzlesEpoch-runReasoning

90.0%

best published result
of 72 models

max

Source: Epoch AI — AI Benchmarking Hub
SimpleQA VerifiedEpoch-runKnowledge

94.0%

best published result
of 75 models

max

Source: Epoch AI — AI Benchmarking Hub

99.7%

99.7% of the best (100.0%)
87th percentile of 98 · n = 45

max

Source: Epoch AI — AI Benchmarking Hub

95.1%

best published result
of 78 models

max

Source: Epoch AI — AI Benchmarking Hub
FrontierMath Tier 4Epoch-runMath

100.0%

best published result
of 68 models

max

Source: Epoch AI — AI Benchmarking Hub
ProofBenchLeaderboardMath

100.0%

best published result
of 81 models

max

Source: Epoch AI — AI Benchmarking Hub
FrontierSWE v2LeaderboardAgentic

69.9%

best published result
of 22 models

harness: proximus

Source: Proximal (FrontierSWE leaderboard)
EBR-benchEpoch-runAgentic

90.5%

best published result
of 30 models

max

Source: Epoch AI — AI Benchmarking Hub
SpireClimbEpoch-runAgentic

19.6%

57.7% of the best (34.0%)
63th percentile of 9

max

Source: Epoch AI — AI Benchmarking Hub
Furniture AssemblyEpoch-runMultimodal

90.0%

best published result
of 37 models

max

Source: Epoch AI — AI Benchmarking Hub

Nearby on the leaderboard

Compare with its neighbours.

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