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Claude Fable 5.1

Released Sep 1, 2026 see all recent releases

Decision reading
Claude Fable 5.1 scores 84.6 out of 100 and ranks #1 of 232. This profile shows 25 source-displayable benchmark rows; its strongest eligible category is Agentic at #1. API pricing is $10 input and $50 output per million tokens, with cached input at $0.25.

Data as of September 10, 2026 · How the score is built

Strongest published evidence

Agentic ranks #1. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

25 published rows leave some tracked benchmark slots empty. Reasoning is its lowest eligible category at #2.

Check the published record for the model and serving route you use.

Check this model

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

84.6/100

field median 56.2

#1 of 232 ranked models

Price

$10input / $50 output

input median $0.97

cached $0.25 · blended $30

Speed

66tok/s

field median 86.5 tok/s

First token 304.16 s

Context

1Mtokens

field median 256,000

Maximum output length is tracked separately

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Claude Fable 5.1 category percentile values

  • Agentic100th percentile
  • Coding100th percentile
  • Reasoning95th percentile
  • Knowledge100th percentile
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#1/152
  2. Coding#1/151
  3. Reasoning#2/20
  4. Knowledge#1/183
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Explore all models

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

Current modelClaude Fable 5.1 · 84.6 score · $30 blended per million tokens
30405060708090$0.50$1$5$10$25↘ frontierClaude Fable 5.1

Horizontal: blended price per million tokens, log scale · Vertical: public score

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic10/10 verified
  2. Coding9/9 verified
  3. Reasoning2/2 verified
  4. Knowledge4/4 verified
  5. MathNot measured
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
claude-fable-5-1Anthropic Fable 5.1 and Mythos 5.1 launch
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Claude API · Claude products · AWS · Google Cloud · Microsoft AzureAnthropic Fable 5.1 and Mythos 5.1 launch
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.25 per million cached input tokensAnthropic Fable 5.1 launch
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #1 of 152Percentile 100thWeight 22%10 benchmarksVerified80.2
CodingRank #1 of 151Percentile 100thWeight 20%9 benchmarksVerified84.3
ReasoningRank #2 of 20Percentile 95thWeight 17%2 benchmarksVerified79.4
KnowledgeRank #1 of 183Percentile 100thWeight 12%4 benchmarksVerified86.7
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding9 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore81.2%Versus best verified row

Best verified: Claude Fable 5.1 · 81.2%

GapBest verifiedWeightWeighted 25%
LiveCodeBench (Vals)LiveCodeBench, Vals AI runScore90.5%Versus best verified row

Best verified: Claude Fable 5.1 · 90.5%

GapBest verifiedWeightWeighted 15%
cursorBench32Score73.4%Versus best verified row

Best verified: Claude Fable 5.1 · 73.4%

GapBest verifiedWeightWeighted 10%
SWE MultilingualScore89.1%Versus best verified row

Best verified: Claude Opus 5 · 89.5%

Gap0.4 behindWeightWeighted 5%
Bug Hunt BenchScore43 fixesVersus best verified row

Best verified: Claude Fable 5.1 · 43 fixes

GapBest verifiedWeightDisplay only
SWE MultimodalSWE-bench MultimodalScore54.7%Versus best verified row

Best verified: Claude Opus 5 · 59.4%

Gap4.7 behindWeightDisplay only
DeepSWEScore67.4%Versus best verified row

Best verified: Muse Spark 1.3 · 75.4%

Gap8 behindWeightDisplay only
FrontierSWE v2Score56.3%Versus best verified row

Best verified: Claude Fable 5.1 · 56.3%

GapBest verifiedWeightDisplay only
ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch?Score87.6%Versus best verified row

Best verified: Claude Opus 5 · 93.0%

Gap5.4 behindWeightDisplay only
Agentic10 rows
Agentic benchmark values, best verified comparison, weight, and source status
OSWorld 2.0Score41.7%Versus best verified row

Best verified: GPT-6 Astra · 72.6%

Gap30.9 behindWeightWeighted 10%
AutomationBenchScore31.4%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 54.8%

Gap23.4 behindWeightWeighted 10%
Terminal-Bench 4.0Score55.80%Versus best verified row

Best verified: Claude Mythos 5.1 · 60.90%

Gap5.1 behindWeightDisplay only
Terminal-Bench-Science 0.1Score52.6%Versus best verified row

Best verified: GPT-6 Astra · 64.6%

Gap12 behindWeightDisplay only
Toolathlon-VerifiedScore77.8%Versus best verified row

Best verified: Claude Opus 5 · 80.6%

Gap2.8 behindWeightDisplay only
Toolathlon Verified Pass@3Score81.5%Versus best verified row

Best verified: Claude Opus 5 · 87.0%

Gap5.5 behindWeightDisplay only
Toolathlon Verified Pass³Toolathlon Verified Pass cubedScore73.1%Versus best verified row

Best verified: Claude Opus 5 · 73.1%

GapBest verifiedWeightDisplay only
Toolathlon Verified avg. turnsToolathlon Verified average assistant turnsScore23.7 turnsVersus best verified row

Best verified: Claude Fable 5.1 · 23.7 turns

GapBest verifiedWeightDisplay only
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore85.0%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

Gap2.3 behindWeightDisplay only
ApprenticeBenchApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable jobScore72%Versus best verified row

Best verified: Claude Fable 5.1 · 72%

GapBest verifiedWeightDisplay only
Reasoning2 rows
Reasoning benchmark values, best verified comparison, weight, and source status
ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2Score90%Versus best verified row

Best verified: GPT-6 Astra · 95%

Gap5 behindWeightWeighted 25%
ARC-AGI-1ARC-AGI-1 Semi-Private EvaluationScore97.50%Versus best verified row

Best verified: GPT-6 Astra · 98.50%

Gap1 behindWeightDisplay only
Knowledge4 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore65%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

GapBest verifiedWeightWeighted 35%
HLE w/o toolsHumanity's Last Exam without toolsScore60.9%Versus best verified row

Best verified: Claude Fable 5.1 · 60.9%

GapBest verifiedWeightWeighted 10%
MMLU-Pro (Vals)MMLU-Pro, Vals AI runScore92.4%Versus best verified row

Best verified: Claude Fable 5.1 · 92.4%

GapBest verifiedWeightWeighted 10%
GPQA Diamond (Vals)GPQA Diamond, Vals AI runScore93.4%Versus best verified row

Best verified: Gemini 3.1 Pro · 95.5%

Gap2.1 behindWeightDisplay only

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Jun 9, 2026

    Claude Fable 5

    Score 81.4 · $10 / $50

  2. Sep 1, 2026 · you are here

    Claude Fable 5.1

    Score 84.6 · $10 / $50

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Claude Fable 5.1 ranks #1 of 232 on the public leaderboard with a score of 84.61/100. Its source-verified position is #1 of 130.

Claude Fable 5.1 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Generally available on the Claude API as `claude-fable-5-1` and across Anthropic, Amazon Web Services, Google Cloud, and Microsoft Azure. Fable 5.1 allows defensive vulnerability discovery, while exploit generation and some dual-use cyber work still route to Opus models. Eligible enterprise customers can use zero data retention until Enterprise Frontier Safeguards rolls out in phases beginning later in fall 2026.

Official exact-value snapshot from Anthropic's September 2026 Claude Fable 5.1 and Claude Mythos 5.1 launch page and system card, supplemented by Cursor's live CursorBench 3.2 table and Bug Hunt Bench's blind-graded production-repository evaluation. We store only exact protocol matches, including the highest published effort where several settings are shown. FrontierSWE v2 remains separate from the original 17-task FrontierSWE release, and Bug Hunt Bench remains display-only because the result belongs to a full model, effort, and CLI setup. OSWorld 2.0 uses the strict pass rate and records the paired partial score in provenance. Independent LiveBench and Vals evidence now clears the provisional external-consensus gate; the verified rank remains withheld until more weighted benchmark categories clear their coverage thresholds.

Claude Fable 5.1 sits in the Claude Fable family with Claude Fable 5. Its explicit predecessor is Claude Fable 5. 25 of 435 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #1, while its lowest eligible position is Reasoning at #2. particularly useful for coding agents, browser research, and computer-use workflows.

Radar

Claude Fable 5.1 release history

Full release history

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Frequently asked questions

How does Claude Fable 5.1 perform overall in AI benchmarks?

Claude Fable 5.1 ranks #1 out of 232 models on the public BenchAlign leaderboard, with a score of 84.61/100. Its evidence status is Supported, and this profile shows 25 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Claude Fable 5.1 good for knowledge and understanding?

Claude Fable 5.1 ranks #1 out of 183 eligible models for knowledge and understanding, with a public category score of 86.7/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Fable 5.1 good for coding and programming?

Claude Fable 5.1 ranks #1 out of 151 eligible models for coding and programming, with a public category score of 84.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Fable 5.1 good for reasoning and logic?

Claude Fable 5.1 ranks #2 out of 20 eligible models for reasoning and logic, with a public category score of 79.4/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Fable 5.1 good for agentic tool use and computer tasks?

Claude Fable 5.1 ranks #1 out of 152 eligible models for agentic tool use and computer tasks, with a public category score of 80.2/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Which sibling models are related to Claude Fable 5.1?

Claude Fable 5.1 belongs to the Claude Fable family. Related tracked variants include Claude Fable 5. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Claude Fable 5.1 have full benchmark coverage on BenchLM?

No. Claude Fable 5.1 currently has 48 source-displayable rows across 435 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Claude Fable 5.1?

Claude Fable 5.1 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Compare Claude Fable 5.1 with every tracked model482 comparisons

Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.

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