Capability
84.6/100
field median 56.2
#1 of 232 ranked models
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Data as of September 10, 2026 · How the score is built
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Agentic ranks #1. Particularly useful for coding agents, browser research, and computer-use workflows.
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 modelEach 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
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
The dashed outline is median of 6 nearest peers.
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.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #1 of 152Percentile 100thWeight 22%10 benchmarksVerified | 80.2 | #1 of 152 | 100th | 22% | 10 benchmarks | Verified |
| CodingRank #1 of 151Percentile 100thWeight 20%9 benchmarksVerified | 84.3 | #1 of 151 | 100th | 20% | 9 benchmarks | Verified |
| ReasoningRank #2 of 20Percentile 95thWeight 17%2 benchmarksVerified | 79.4 | #2 of 20 | 95th | 17% | 2 benchmarks | Verified |
| KnowledgeRank #1 of 183Percentile 100thWeight 12%4 benchmarksVerified | 86.7 | #1 of 183 | 100th | 12% | 4 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score81.2% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | GapBest verified | WeightWeighted 25% | |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score90.5% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | GapBest verified | WeightWeighted 15% | |
| cursorBench32 | Score73.4% | Versus best verified row Best verified: Claude Fable 5.1 · 73.4% | GapBest verified | WeightWeighted 10% | Benchmark exact |
| SWE Multilingual | Score89.1% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap0.4 behind | WeightWeighted 5% | |
| Bug Hunt Bench | Score43 fixes | Versus best verified row Best verified: Claude Fable 5.1 · 43 fixes | GapBest verified | WeightDisplay only | Benchmark exact |
| SWE MultimodalSWE-bench Multimodal | Score54.7% | Versus best verified row Best verified: Claude Opus 5 · 59.4% | Gap4.7 behind | WeightDisplay only | |
| DeepSWE | Score67.4% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | Gap8 behind | WeightDisplay only | |
| FrontierSWE v2 | Score56.3% | Versus best verified row Best verified: Claude Fable 5.1 · 56.3% | GapBest verified | WeightDisplay only | Benchmark exact |
| ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch? | Score87.6% | Versus best verified row Best verified: Claude Opus 5 · 93.0% | Gap5.4 behind | WeightDisplay only |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld 2.0 | Score41.7% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | Gap30.9 behind | WeightWeighted 10% | |
| AutomationBench | Score31.4% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 54.8% | Gap23.4 behind | WeightWeighted 10% | |
| Terminal-Bench 4.0 | Score55.80% | Versus best verified row Best verified: Claude Mythos 5.1 · 60.90% | Gap5.1 behind | WeightDisplay only | |
| Terminal-Bench-Science 0.1 | Score52.6% | Versus best verified row Best verified: GPT-6 Astra · 64.6% | Gap12 behind | WeightDisplay only | |
| Toolathlon-Verified | Score77.8% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap2.8 behind | WeightDisplay only | |
| Toolathlon Verified Pass@3 | Score81.5% | Versus best verified row Best verified: Claude Opus 5 · 87.0% | Gap5.5 behind | WeightDisplay only | |
| Toolathlon Verified Pass³Toolathlon Verified Pass cubed | Score73.1% | Versus best verified row Best verified: Claude Opus 5 · 73.1% | GapBest verified | WeightDisplay only | |
| Toolathlon Verified avg. turnsToolathlon Verified average assistant turns | Score23.7 turns | Versus best verified row Best verified: Claude Fable 5.1 · 23.7 turns | GapBest verified | WeightDisplay only | |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score85.0% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap2.3 behind | WeightDisplay only | |
| ApprenticeBenchApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable job | Score72% | Versus best verified row Best verified: Claude Fable 5.1 · 72% | GapBest verified | WeightDisplay only | Benchmark exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score90% | Versus best verified row Best verified: GPT-6 Astra · 95% | Gap5 behind | WeightWeighted 25% | |
| ARC-AGI-1ARC-AGI-1 Semi-Private Evaluation | Score97.50% | Versus best verified row Best verified: GPT-6 Astra · 98.50% | Gap1 behind | WeightDisplay only |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score65% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | GapBest verified | WeightWeighted 35% | |
| HLE w/o toolsHumanity's Last Exam without tools | Score60.9% | Versus best verified row Best verified: Claude Fable 5.1 · 60.9% | GapBest verified | WeightWeighted 10% | |
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score92.4% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | GapBest verified | WeightWeighted 10% | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score93.4% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap2.1 behind | WeightDisplay only |
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.
Jun 9, 2026
Claude Fable 5Score 81.4 · $10 / $50
Sep 1, 2026 · you are here
Claude Fable 5.1Score 84.6 · $10 / $50
Base entry
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.
Anthropic · Model release
Radar confirmed these at the source. Use Claude Fable 5.1 in your work? Explore Radar to follow supported changes and choose your alerts.
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.
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.
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.
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.
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.
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.
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.
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.
Related resources
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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