Data as of November 9, 2026 · How the score is built
Released Nov 9, 20261M contextClaude Fable 5.2 and Claude Mythos 5.2 system card
Claude Fable 5.2
Decision readingClaude Fable 5.2 scores 91.2 out of 100 and ranks #1 of 214. This profile shows 35 source-displayable benchmark rows; its strongest eligible category is Agentic at #1. API pricing is $8 input and $40 output per million tokens, with cached input at $0.2.
Released Nov 9, 2026 — see all recent releases
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
91.2/100
field median 51.1#1 of 214 ranked models
Public
#1of 214
Verified —
Price
$8input / $40 output
input median $0.60cached $0.20 · blended $24
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
1Mtokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Agentic ranks #1. Particularly useful for coding agents, browser research, and computer-use workflows.
Validate before choosing
35 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Source-linked · 35 displayable benchmark rows
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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #1 of 132Percentile 100thWeight 22%8 benchmarksVerified | 90.7 | 8 benchmarks | Verified | |||
| CodingRank #1 of 158Percentile 100thWeight 20%8 benchmarksVerified | 86.9 | 8 benchmarks | Verified | |||
| ReasoningRank #1 of 157Percentile 100thWeight 17%3 benchmarksVerified | 90.7 | 3 benchmarks | Verified | |||
| MultimodalRank #1 of 67Percentile 100thWeight 12%6 benchmarksVerified | 89.8 | 6 benchmarks | Verified | |||
| KnowledgeRank #1 of 179Percentile 100thWeight 12%3 benchmarksVerified | 97.6 | 3 benchmarks | Verified | |||
| MultilingualWeight 7%2 benchmarksVerified | Score pending | 2 benchmarks | Verified | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
35 of 847 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic8/8 verified
- Coding8/8 verified
- Reasoning3/3 verified
- Multimodal6/6 verified
- Knowledge3/3 verified
- Multilingual2/2 verified
- Inst. FollowingNot measured
- MathNot measured
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 5.2 category percentile values
- Agentic100th percentile
- Coding100th percentile
- Reasoning100th percentile
- Multimodal100th percentile
- Knowledge100th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#1/132
- Coding#1/158
- Reasoning#1/157
- Multimodal#1/67
- Knowledge#1/179
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
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.
Coding8 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score93% | Versus best verified row Best verified: Claude Fable 5.2 · 93% | GapBest verified | Weight26% ref. weight | |
| DeepSWE | Score74.3% | Versus best verified row Best verified: Muse Wonder Full · 79.0% | Gap4.7 behind | Weight15% ref. weight | |
| FrontierSWE v2 | Score69.9% | Versus best verified row Best verified: Claude Fable 5.2 · 69.9% | GapBest verified | Weight8% ref. weight | Benchmark exact |
| SWE Multilingual | Score96.6% | Versus best verified row Best verified: Claude Fable 5.2 · 96.6% | GapBest verified | Weight5% ref. weight | |
| SWE MultimodalSWE-bench Multimodal | Score74.1% | Versus best verified row Best verified: Claude Fable 5.2 · 74.1% | GapBest verified | WeightDisplay only | |
| ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch? | Score85.6% | Versus best verified row Best verified: Claude Opus 5 · 93.0% | Gap7.4 behind | WeightDisplay only | |
| FrontierCode 2.0 | Score49.1% | Versus best verified row Best verified: Claude Fable 5.2 · 49.1% | GapBest verified | WeightDisplay only | Benchmark exact |
| CursorBench 4.0 | Score60.0% | Versus best verified row Best verified: Claude Fable 5.2 · 60.0% | GapBest verified | WeightDisplay only | Benchmark exact |
Agentic8 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 4.0 | Score67.60% | Versus best verified row Best verified: Claude Sonnet 5.5 · 70.60% | Gap3 behind | Weight8% ref. weight | |
| AutomationBench | Score51.4% | Versus best verified row Best verified: MiniMax M3.1 Flash · 62.2% | Gap10.8 behind | Weight6% ref. weight | |
| Terminal-Bench-Science 0.1 | Score74.6% | Versus best verified row Best verified: Claude Mythos 5.2 · 75.3% | Gap0.7 behind | WeightDisplay only | |
| OSWorld 2.1 OfflineOSWorld 2.1 offline subset (82 tasks) | Score89.3% | Versus best verified row Best verified: Claude Fable 5.2 · 89.3% | GapBest verified | WeightDisplay only | |
| WANDRWANDR (Wide ANd Deep Research) | Score82.1% | Versus best verified row Best verified: Claude Fable 5.2 · 82.1% | GapBest verified | WeightDisplay only | |
| Remote Labor IndexRemote Labor Index (RLI) | Score41.3% | Versus best verified row Best verified: Claude Fable 5.2 · 41.3% | GapBest verified | WeightDisplay only | |
| RoboDojo Sim | Score64.9% | Versus best verified row Best verified: Claude Fable 5.2 · 64.9% | GapBest verified | WeightDisplay only | |
| DRACOData Research and Analysis with Complex Operations | Score87.7% | Versus best verified row Best verified: Claude Opus 5 · 88.6% | Gap0.9 behind | WeightDisplay only |
Reasoning3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3 | Score65.7% | Versus best verified row Best verified: Claude Fable 5.2 · 65.7% | GapBest verified | Weight15% ref. weight | |
| ARC-AGI-3 Provider AdapterARC-AGI-3 Semi-Private: Provider Adapter harness | Score94.90% | Versus best verified row Best verified: GPT-6 Astra · 98.55% | Gap3.7 behind | WeightDisplay only | |
| STEM Professor BenchAnthropic STEM Professor Bench | Score61.8% | Versus best verified row Best verified: Claude Fable 5.2 · 61.8% | GapBest verified | WeightDisplay only |
Multimodal6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OfficeQA Pro | Score72.9% | Versus best verified row Best verified: Claude Fable 5.2 · 72.9% | GapBest verified | Weight20% ref. weight | |
| Chartography (no tools)Chartography without tools | Score73.4% | Versus best verified row Best verified: Claude Fable 5.2 · 73.4% | GapBest verified | WeightDisplay only | |
| Chartography (tools)Chartography with image and code tools | Score91.6% | Versus best verified row Best verified: Claude Fable 5.2 · 91.6% | GapBest verified | WeightDisplay only | |
| OfficeQA | Score83.4% | Versus best verified row Best verified: Claude Fable 5.2 · 83.4% | GapBest verified | WeightDisplay only | |
| BenchCAD 2.1BenchCAD 2.1 Core, without tools | Score75.4% | Versus best verified row Best verified: Claude Fable 5.2 · 75.4% | GapBest verified | WeightDisplay only | |
| BenchCAD 2.1 (tools)BenchCAD 2.1 Core, with tools | Score83.5% | Versus best verified row Best verified: Claude Fable 5.2 · 83.5% | GapBest verified | WeightDisplay only |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score74.2% | Versus best verified row Best verified: Claude Fable 5.2 · 74.2% | GapBest verified | Weight44% ref. weight | |
| HLE w/o toolsHumanity's Last Exam without tools | Score73.2% | Versus best verified row Best verified: Claude Fable 5.2 · 73.2% | GapBest verified | Weight7% ref. weight | |
| PhysicianBench | Score64.4% | Versus best verified row Best verified: Claude Opus 5.5 · 68.4% | Gap4 behind | WeightDisplay only |
Multilingual2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GMMLUGlobal MMLU | Score96.0% | Versus best verified row Best verified: Claude Fable 5.2 · 96.0% | GapBest verified | WeightDisplay only | |
| MILUMulti-task Indic Language Understanding Benchmark | Score94.1% | Versus best verified row Best verified: Claude Fable 5.2 · 94.1% | GapBest verified | WeightDisplay only |
External signals5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SpireClimbSpireClimb (Slay the Spire 1 and 2) | Score19.6% | Versus best verified row Best verified: GPT-6 Astra · 34.0% | Gap14.4 behind | WeightDisplay only | Benchmark exact |
| Chess PuzzlesChess Puzzles (Epoch AI) | Score79.0% | Versus best verified row Best verified: Claude Fable 5.2 · 79.0% | GapBest verified | WeightDisplay only | Benchmark exact |
| Mystery Game PuzzlesMystery Game Puzzles (Epoch AI) | Score90.0% | Versus best verified row Best verified: Claude Fable 5.2 · 90.0% | GapBest verified | WeightDisplay only | Benchmark exact |
| Furniture AssemblyFurniture Assembly Benchmark (Epoch AI) | Score90.0% | Versus best verified row Best verified: Claude Fable 5.2 · 90.0% | GapBest verified | WeightDisplay only | Benchmark exact |
| EBR-benchEarthborne Rangers (EBR-bench) | Score90.5% | Versus best verified row Best verified: Claude Fable 5.2 · 90.5% | GapBest verified | WeightDisplay only | Benchmark exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 35 rowsWhat 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.
Claude Fable 5.2 · 91.2 score · $24 blended per million tokens
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
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
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-5-2Anthropic Claude Fable 5.2 model documentation
- Context window
- 1MAnthropic Claude Fable 5.2 model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, imageAnthropic Claude Mythos 5.2 model documentation
- Output modalities
- textAnthropic Claude Mythos 5.2 model documentation
- Parameters
- Not disclosed by the provider
- Availability
- Claude API · Claude products · AWS · Google Cloud · Microsoft AzureAnthropic Fable 5.2 and Mythos 5.2 launch
- Cloud regions
- Not tracked yet
- Lifecycle
- activeAnthropic Claude Fable 5.2 model documentation
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.20 per million cached input tokensClaude API pricing
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
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 5.2 ranks #1 of 214 on the public leaderboard with a score of 91.19/100. It does not yet have enough sourced coverage for a verified position.
Claude Fable 5.2 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-5-2` and across Anthropic, Amazon Web Services, Google Cloud, and Microsoft Azure. Fast mode runs at $16 input / $80 output per million tokens. Anthropic says outputs are up to 30% faster than Fable 5.1. Eligible Enterprise customers can use zero data retention before adding Enterprise Frontier Safeguards.
Anthropic released Claude Fable 5.2 on November 9, 2026 alongside the restricted Claude Mythos 5.2 profile; both are the same underlying model with different cyber and biology safeguards. Scores are Anthropic's exact values from the launch page and system card, at max effort with safeguards on unless noted: FrontierCode 2.0 uses Cognition's best effort (xhigh), ARC-AGI-3 stores the max-effort verified rows (79.26% Standard and 97.72% Provider Adapter at high effort), OSWorld 2.1 stores the offline-set partial score (54.6% strict), and RLI uses Scale's default high-effort run. RoboDojo Sim, WANDR, PhysicianBench and BenchCAD 2.1 are display-only Anthropic runs.
Claude Fable 5.2 sits in the Claude Fable family with Claude Fable 5, Claude Fable 5.1. Its explicit predecessor is Claude Fable 5.1. 35 of 847 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 Knowledge at #1. particularly useful for coding agents, browser research, and computer-use workflows.
Last updated November 9, 2026. Runtime fields remain blank until a sourced snapshot exists.
Ask your AI, from current BenchLM data
Where does Claude Fable 5.2 rank right now, and what does it cost?
Questions
How does Claude Fable 5.2 perform overall in AI benchmarks?
Claude Fable 5.2 ranks #1 out of 214 models on the public BenchAlign leaderboard, with a score of 91.19/100. Its evidence status is Estimated, and this profile shows 35 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Claude Fable 5.2 good for knowledge and understanding?
Claude Fable 5.2 ranks #1 out of 179 eligible models for knowledge and understanding, with a public category score of 97.6/100. 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 5.2 good for coding and programming?
Claude Fable 5.2 ranks #1 out of 158 eligible models for coding and programming, with a public category score of 86.9/100. 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 5.2 good for reasoning and logic?
Claude Fable 5.2 ranks #1 out of 157 eligible models for reasoning and logic, with a public category score of 90.7/100. 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 5.2 good for agentic tool use and computer tasks?
Claude Fable 5.2 ranks #1 out of 132 eligible models for agentic tool use and computer tasks, with a public category score of 90.7/100. 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 5.2 good for multimodal and grounded tasks?
Claude Fable 5.2 ranks #1 out of 67 eligible models for multimodal and grounded tasks, with a public category score of 89.8/100. 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 5.2 good for multilingual tasks?
Claude Fable 5.2 has source-displayable benchmark coverage for multilingual tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Which sibling models are related to Claude Fable 5.2?
Claude Fable 5.2 belongs to the Claude Fable family. Related tracked variants include Claude Fable 5, Claude Fable 5.1. 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 5.2 have full benchmark coverage on BenchLM?
No. Claude Fable 5.2 currently has 55 source-displayable rows. 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 5.2?
Claude Fable 5.2 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.