[whatmodel.sh](../../README.md) / Claude Fable 5.1
# Claude Fable 5.1
Anthropic · released 2026-09 · closed weights
**score 82.2** ±0.5 · #6 of 732 · from 38 benchmark results across 7 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Claude Fable 5.1 among every model on that task or test, worst to best.
task vs the others rank counts tests
agent tasks ▁▁▃▆█▄▅▅▄▄▂● #5 of 313 29% 10
coding ▁▁▁▃▅▇█▇▅▄▃● #6 of 469 15% 5
chat & writing ▁▁▁▃▆▄▆█▆▇▇● #5 of 402* 3.0% 1
math ▁▁▃▅█▆▄█▄▂●▁ #5 of 431 26% 10
vision & documents ▁▁▂▂▁▃▄▂▆▇█● #14 of 153* 3.0% 2
web search ▁▁▁▅▄█●▄·▁·▁ #18 of 84* 1.8% 1
agent tasks · #5 of 313 · 29% of its score
Beats [GPT-6 Astra](gpt-6-astra.md), [GPT-6.1 Terra](gpt-6-1-terra.md) here, though they rank higher overall. Trails [Claude Sonnet 5.5](claude-sonnet-5-5.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Terminal-Bench 4.0 57.9% █▅▅▅▅·▅▃▃▅●▅ beats 17/20 very hard · avg 0.5% 7.8% sharp · at its level · several runs
Arena Agent (October 2026 aggrega… 0.1335 IPS ▁▁▁▃▃▂█▁▂●▁▁ beats 56/59 avg -0.379 IPS 7.7% sharp
SWE-bench Pro (split unspecified)… 81.2% ▄█·▄·▄█●···▄ beats 7/9 very hard · avg 7.4% 5.0% sharp
SWE-bench Multilingual (maker) 89.1% ▃··▃·▅▃▃●··▃ beats 6/9 hard · avg 31% 2.3% typical
Humanity's Last Exam with tools (… 65.6% ▁······▁·▄·● beats 9/10 very hard · avg 14% 1.8% at its level
DeepSWE v1.1 (resolved) (maker) 67.4% █·····●███·█ beats 1/5 hard · avg 19% 1.4% at its level
Chartography with tools (maker) 88.4% ▃········▃█● beats 5/7 very hard · avg 6.5% 1.3% sharp
OSWorld 2.1 (partial score) (make… 80.7% █·········●█ beats 1/2 hard · avg 29% 0.7% small run
Toolathlon-Verified (maker) 77.8% ▃·····●···▃▃ beats 2/5 medium · avg 37% 0.7% blunt
OSWorld 2.0, 2026.08.08 release (… 77.9% █····█·····● beats 2/2 hard · avg 28% 0.7% small run
coding · #6 of 469 · 15% of its score
Beats [GPT-6.1 Terra](gpt-6-1-terra.md) here, though they rank higher overall. Trails [Claude Sonnet 5.5](claude-sonnet-5-5.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena WebDev (Code Arena) 1745.9 ▁▁▃▂▅█▃▆▅▅●▂ beats 124/129 avg 981 5.3% sharp
SWE-bench Pro (split unspecified)… 81.2% ▄█·▄·▄█●···▄ beats 7/9 very hard · avg 7.4% 5.0% sharp
SWE-bench Multilingual (maker) 89.1% ▃··▃·▅▃▃●··▃ beats 6/9 hard · avg 31% 2.3% typical
DeepSWE v1.1 (resolved) (maker) 67.4% █·····●███·█ beats 1/5 hard · avg 19% 1.4% at its level
Luau Leetcode fully solved (Torpe… 83.2% ▁▁▁▁·▁▂▃▅▃█● beats 41/49 hard · avg 17% 1.2% sharp
chat & writing · #5 of 402 · 3.0% of its score
Beats [GPT-6 Astra](gpt-6-astra.md), [GPT-6.1 Sol](gpt-6-1-sol.md) here, though they rank higher overall. Trails [Muse Wonder](muse-wonder.md), [Gemini 4 Argon](gemini-4-argon.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
LMArena (text) 1504.4 ▁▁▁▂▃▃▃▆▆▇█● beats 381/385 avg 1260 3.0% blunt
math · #5 of 431 · 26% of its score
test result vs the others in its run difficulty counts why
FrontierMath tier 4 v2 87.8% ▁▂▁▂█▅▂▃●▁▁▁ beats 61/67 very hard · avg 0.1% 7.6% sharp
FrontierMath tiers 1–3 v2 90.2% ▂··▁▁▃▄▄█▆▄● beats 82/86 very hard · avg 1.2% 4.8% sharp
MathArena ArXivMath April 2026 (4… 77.5% ▁·····▅██●·▁ beats 19/20 very hard · avg 7.6% 4.5% sharp
MathArena ArXivMath June 2026 (48… 91.0% ▂···▄·██▆▆●▂ beats 18/19 very hard · avg 5.1% 3.6% sharp
MathArena BrokenArXiv April 2026 … 80.3% ▂▂▆█▃▃▂▂●··▂ beats 17/18 very hard · avg 0.8% 2.3% sharp · at its level · noisy
MathArena ArXivMath May 2026 (40 … 87.5% ▁··▁▄█▄▁·●·▁ beats 15/17 very hard · avg 11% 1.5% typical
MathArena ArXivMath August 2026, … 87.7% █▄·▄·······● beats 4/5 very hard · avg 5.9% 1.0% sharp · at its level
MathArena BrokenArXiv August 2026… 79.8% ▄▄·····▄·▄·● beats 4/5 very hard · avg 6.9% 0.5% at its level · noisy
FrontierMath: Erdős problems 0.0% ●··········▆ beats 3/6 very hard · avg 0.0% 0.5% sharp · too hard for it · noisy
OTIS mock AIME 2024–2025 100.0% ▃▃▄▃▃▃▇▇█▃▂● beats 197/197 very hard · avg 7.2% 0.1% sharp · maxed out · noisy
vision & documents · #14 of 153 · 3.0% of its score
Trails [Muse Spark 1.2](muse-spark-1-2.md), [Qwen3.8-Flash-Next](qwen3-8-flash-next.md), [Claude Opus 4.7](claude-opus-4-7.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena vision (style controlled) 1287.6 ▁▁▂▂▂▂▃▄▅▅█● beats 139/152 avg 1061 2.0% blunt
Arena document (style controlled) 1492.8 ▁▁▃▃▄▃▇█▅▇▄● beats 34/37 avg 1331 1.0% blunt
web search · #18 of 84 · 1.8% of its score
Trails [GPT-4o mini (2024-07-18)](gpt-4o-mini-2024-07-18.md), [Mistral Small 3.1 24B (2503)](mistral-small-3-1.md), [GPT-4o (2024-08-06)](gpt-4o-2024-08-06.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Humanity's Last Exam with tools (… 65.6% ▁······▁·▄·● beats 9/10 very hard · avg 14% 1.8% at its level
other tests (12)
test result vs the others in its run difficulty counts why
EBR-bench (Epoch) 57.1% ▄▂·▆█▂█▆▄●·▆ beats 22/25 very hard · avg 0.3% 7.7% sharp · at its level
Mystery Game Puzzles (Epoch) 58.0% █··▂▃▇▄█▂●▂▁ beats 71/77 very hard · avg 9.4% 6.2% sharp · at its level · noisy
Furniture Assembly (Epoch) 70.0% █▆▆▆▆▂▆▂●▂▂▅ beats 27/32 very hard · avg 1.2% 5.0% sharp · at its level
Humanity's Last Exam (maker) 60.9% ▂·····▂·▄▂█● beats 9/10 very hard · avg 5.9% 3.4% at its level
Chess Puzzles (Epoch) 47.0% █▁▁▁▁▂▃▃▃●▁▁ beats 128/137 very hard · avg 5.8% 3.1% sharp · at its level · noisy
Global-MMLU (maker) 94.0% ▄▄····▄▄··▄● beats 5/6 medium · avg 64% 1.2% typical
SimpleQA Verified 70.8% ▁▁▃▂▃▃▆▆█▄▂● beats 77/81 very hard · avg 8.0% 1.0% at its level
Icelandic LLM Leaderboard average… 69.4% ▁▁▃▂▂▄▁▃▄▄▄● beats 36/38 very hard · avg 14% 1.0% at its level
MirrorCode (Epoch) 73.3% ▄·█▄▄▄██·▄▄● beats 12/13 very hard · avg 1.6% 1.0% sharp · at its level · noisy
HealthBench (maker) 66.7% █·▄·····●▄▄▄ beats 3/6 hard · avg 30% 0.7% blunt · at its level
HealthBench Professional (maker) 62.1% ▂·▂··▂▂▂█●▂▄ beats 9/13 hard · avg 20% 0.6% blunt · at its level · small run
RobloxQA v2.0 multiple choice (To… 97.9% ▁▁▃▁█▄▃▃▆▂●▂ beats 46/49 easy · avg 77% 0.4% maxed out
source results share of the score
Epoch AI 10 37% ▇▇▇▇
Anthropic system cards and model announ… 15 24% ▇▇▇
LMArena leaderboard dataset 5 19% ▇▇
MathArena ArXivMath / BrokenArXiv / ArX… 6 13% ▇▇
Terminal-Bench 4.0 official leaderboard… 1 4% ▇
Roblox LLM Leaderboard 2 2% ▇
Miðeind Icelandic LLM Leaderboard 1 1% ▇
prior: pull toward the middle 0% ▇
weighted average = 82.2
Licences: Epoch AI ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · LMArena leaderboard dataset ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets ([CC BY-SA 4.0](../../licenses/matharena-sharealike-NOTICE.txt)) · Terminal-Bench 4.0 official leaderboard submissions ([Apache-2.0](../../licenses/terminal-bench-leaderboard-submissions-Apache-2.0.txt)) · Roblox LLM Leaderboard ([MIT](../../licenses/roblox-llm-leaderboard-MIT.txt)) · Miðeind Icelandic LLM Leaderboard ([CC BY 4.0](../../licenses/mideind-icelandic-llm-leaderboard-CC-BY-4.0.txt))
## How to run it
### Through an API
api (Anthropic) · $20.00/M blended · $10 in / $50 out per 1M tokens · [docs.anthropic.com](https://docs.anthropic.com/en/docs/about-claude/models)
[price source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/providers/anthropic/models/claude-fable-5-1.toml): Standard base token rate from models.dev. Provider-specific tiers, long-context surcharges, caching and promotions may differ. · [context source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/models/anthropic/claude-fable-5-1.toml)
[interactive version](https://whatmodel.sh/model/claude-fable-5-1) · [JSON](https://whatmodel.sh/api?format=json&all=1)