Skip to main content
BenchLM
Data

Data as of November 9, 2026 · How the score is built

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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #1 of 132Percentile 100thWeight 22%8 benchmarksVerified
90.7
CodingRank #1 of 158Percentile 100thWeight 20%8 benchmarksVerified
86.9
ReasoningRank #1 of 157Percentile 100thWeight 17%3 benchmarksVerified
90.7
MultimodalRank #1 of 67Percentile 100thWeight 12%6 benchmarksVerified
89.8
KnowledgeRank #1 of 179Percentile 100thWeight 12%3 benchmarksVerified
97.6
MultilingualWeight 7%2 benchmarksVerified
Score pending
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

35 of 847 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

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. Agentic8/8 verified
  2. Coding8/8 verified
  3. Reasoning3/3 verified
  4. Multimodal6/6 verified
  5. Knowledge3/3 verified
  6. Multilingual2/2 verified
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot 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

  1. Agentic#1/132
  2. Coding#1/158
  3. Reasoning#1/157
  4. Multimodal#1/67
  5. Knowledge#1/179
  6. MultilingualNot ranked
  7. Inst. FollowingNot ranked
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

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
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore93%Versus best verified row

Best verified: Claude Fable 5.2 · 93%

GapBest verifiedWeight26% ref. weight
DeepSWEScore74.3%Versus best verified row

Best verified: Muse Wonder Full · 79.0%

Gap4.7 behindWeight15% ref. weight
FrontierSWE v2Score69.9%Versus best verified row

Best verified: Claude Fable 5.2 · 69.9%

GapBest verifiedWeight8% ref. weight
SWE MultilingualScore96.6%Versus best verified row

Best verified: Claude Fable 5.2 · 96.6%

GapBest verifiedWeight5% ref. weight
SWE MultimodalSWE-bench MultimodalScore74.1%Versus best verified row

Best verified: Claude Fable 5.2 · 74.1%

GapBest verifiedWeightDisplay only
ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch?Score85.6%Versus best verified row

Best verified: Claude Opus 5 · 93.0%

Gap7.4 behindWeightDisplay only
FrontierCode 2.0Score49.1%Versus best verified row

Best verified: Claude Fable 5.2 · 49.1%

GapBest verifiedWeightDisplay only
CursorBench 4.0Score60.0%Versus best verified row

Best verified: Claude Fable 5.2 · 60.0%

GapBest verifiedWeightDisplay only
Agentic8 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 4.0Score67.60%Versus best verified row

Best verified: Claude Sonnet 5.5 · 70.60%

Gap3 behindWeight8% ref. weight
AutomationBenchScore51.4%Versus best verified row

Best verified: MiniMax M3.1 Flash · 62.2%

Gap10.8 behindWeight6% ref. weight
Terminal-Bench-Science 0.1Score74.6%Versus best verified row

Best verified: Claude Mythos 5.2 · 75.3%

Gap0.7 behindWeightDisplay 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 verifiedWeightDisplay only
WANDRWANDR (Wide ANd Deep Research)Score82.1%Versus best verified row

Best verified: Claude Fable 5.2 · 82.1%

GapBest verifiedWeightDisplay only
Remote Labor IndexRemote Labor Index (RLI)Score41.3%Versus best verified row

Best verified: Claude Fable 5.2 · 41.3%

GapBest verifiedWeightDisplay only
RoboDojo SimScore64.9%Versus best verified row

Best verified: Claude Fable 5.2 · 64.9%

GapBest verifiedWeightDisplay only
DRACOData Research and Analysis with Complex OperationsScore87.7%Versus best verified row

Best verified: Claude Opus 5 · 88.6%

Gap0.9 behindWeightDisplay only
Reasoning3 rows
Reasoning benchmark values, best verified comparison, weight, and source status
ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3Score65.7%Versus best verified row

Best verified: Claude Fable 5.2 · 65.7%

GapBest verifiedWeight15% ref. weight
ARC-AGI-3 Provider AdapterARC-AGI-3 Semi-Private: Provider Adapter harnessScore94.90%Versus best verified row

Best verified: GPT-6 Astra · 98.55%

Gap3.7 behindWeightDisplay only
STEM Professor BenchAnthropic STEM Professor BenchScore61.8%Versus best verified row

Best verified: Claude Fable 5.2 · 61.8%

GapBest verifiedWeightDisplay only
Multimodal6 rows
Multimodal benchmark values, best verified comparison, weight, and source status
OfficeQA ProScore72.9%Versus best verified row

Best verified: Claude Fable 5.2 · 72.9%

GapBest verifiedWeight20% ref. weight
Chartography (no tools)Chartography without toolsScore73.4%Versus best verified row

Best verified: Claude Fable 5.2 · 73.4%

GapBest verifiedWeightDisplay only
Chartography (tools)Chartography with image and code toolsScore91.6%Versus best verified row

Best verified: Claude Fable 5.2 · 91.6%

GapBest verifiedWeightDisplay only
OfficeQAScore83.4%Versus best verified row

Best verified: Claude Fable 5.2 · 83.4%

GapBest verifiedWeightDisplay only
BenchCAD 2.1BenchCAD 2.1 Core, without toolsScore75.4%Versus best verified row

Best verified: Claude Fable 5.2 · 75.4%

GapBest verifiedWeightDisplay only
BenchCAD 2.1 (tools)BenchCAD 2.1 Core, with toolsScore83.5%Versus best verified row

Best verified: Claude Fable 5.2 · 83.5%

GapBest verifiedWeightDisplay only
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore74.2%Versus best verified row

Best verified: Claude Fable 5.2 · 74.2%

GapBest verifiedWeight44% ref. weight
HLE w/o toolsHumanity's Last Exam without toolsScore73.2%Versus best verified row

Best verified: Claude Fable 5.2 · 73.2%

GapBest verifiedWeight7% ref. weight
PhysicianBenchScore64.4%Versus best verified row

Best verified: Claude Opus 5.5 · 68.4%

Gap4 behindWeightDisplay only
Multilingual2 rows
Multilingual benchmark values, best verified comparison, weight, and source status
GMMLUGlobal MMLUScore96.0%Versus best verified row

Best verified: Claude Fable 5.2 · 96.0%

GapBest verifiedWeightDisplay only
MILUMulti-task Indic Language Understanding BenchmarkScore94.1%Versus best verified row

Best verified: Claude Fable 5.2 · 94.1%

GapBest verifiedWeightDisplay only
External signals5 rows
External signals benchmark values, best verified comparison, weight, and source status
SpireClimbSpireClimb (Slay the Spire 1 and 2)Score19.6%Versus best verified row

Best verified: GPT-6 Astra · 34.0%

Gap14.4 behindWeightDisplay only
Chess PuzzlesChess Puzzles (Epoch AI)Score79.0%Versus best verified row

Best verified: Claude Fable 5.2 · 79.0%

GapBest verifiedWeightDisplay only
Mystery Game PuzzlesMystery Game Puzzles (Epoch AI)Score90.0%Versus best verified row

Best verified: Claude Fable 5.2 · 90.0%

GapBest verifiedWeightDisplay only
Furniture AssemblyFurniture Assembly Benchmark (Epoch AI)Score90.0%Versus best verified row

Best verified: Claude Fable 5.2 · 90.0%

GapBest verifiedWeightDisplay only
EBR-benchEarthborne Rangers (EBR-bench)Score90.5%Versus best verified row

Best verified: Claude Fable 5.2 · 90.5%

GapBest verifiedWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 35 rows

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.

Current modelExplore all models

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.

405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierClaude Fable 5.2

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.

  1. Jun 9, 2026

    Claude Fable 5

    Score 80.4 · $10 / $50

  2. Sep 1, 2026

    Claude Fable 5.1

    Score 80.9 · $10 / $50

  3. Nov 9, 2026 · you are here

    Claude Fable 5.2

    Score 91.2 · $8 / $40

Spec sheet

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

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 5.2 and Mythos 5.2 launch
Cloud regions
Not tracked yet
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?

Connect BenchLM to your AI

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.

Watch Claude Fable 5.2 in the weekly brief

Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.

Read a sample issue

Join 6,100+ subscribers.

Compare Claude Fable 5.2 with every tracked model1019 comparisons