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Anthropic Claude Fable 5.2

  • Anthropic
  • Released November 9, 2026
  • No public weights listed
  • 1M context

As of November 14, 2026, Anthropic Claude Fable 5.2 ranks #1 of 118 models overall with 91.7 ±3.0 on the LLMBenchmark Index. Claude Fable 5.2 ranks #1 of 122 in reasoning, its strongest category. Anthropic Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 per million output tokens. Claude Fable 5.2 was released on November 9, 2026.

Claude Fable 5.2's output price ranks 332 of 343 priced models, counting from the cheapest.

  • Coding index 87.8 Verified, 4 benchmarks
  • Cost per solved task Not computable No published attempt cost
  • Output, per million tokens $40.00 332 of 343 from the cheapest Maker's API price
  • Input, per million tokens $8.00 Maker's API price
  • Context window 1M Tokens per request
New model

Claude Fable 5.2 launch tracker

Listed on OpenRouter November 9, 2026, 5 days before our data. Results so far on 68 of 222 public boards; this page updates every day as boards publish.

About and specs

Claude Fable 5.2 is Anthropic's most capable model for the most demanding technical work, with gains over Fable 5.1 in coding, reasoning, and vision. In prerelease testing it completed otherwise-infeasible...

API model id anthropic/claude-fable-5.2
  • Tool callingListed
  • Structured outputsListed
  • JSON modeListed
  • Reasoning modeListed
  • Web searchNot listed
Takes in
Text, Images, Files
Gives back
Text
Context window
1M tokens
Max output
128K tokens
Knowledge cutoff
June 2026, per Anthropic model documentation
Cached input $/Mtok
$0.20
Cache write $/Mtok
$10.00
Reasoning $/Mtok
Not priced apart
Web search, per request
$0.01
Tokenizer
Claude
Requests moderated
Yes, by the provider
Withdrawn on
No date announced
Parameters
Not published
Downloads, all time
No public weights
Training compute
No estimate published
Output speed
101 tokens/s, Max effort
Speed on OpenRouter
76 tokens/s via Anthropic, 30-minute median
First token on OpenRouter
4.6 s via Anthropic, 30-minute median

Benchmarks: 68 of 222 measured

The tick on a coding bar is the median of every model measured on it. Outside coding, the place is this model's rank on that board. A board that never ran the model says so.

Coding index

87.8
  • Terminal-Bench 4 (Vals AI) 65.2% (Mini-SWE-agent) 87 of 100
  • Vibe Code Bench (Vals AI) 93.8% (OpenHands) 94 of 100
  • LiveBench coding 79.2% 79 of 100
  • SWE-bench Verified (Vals AI) Not measured
  • FrontierCode Not measured
  • LMArena WebDev Elo, scaled from 1200 to 1900 1838 Elo (xHigh) 91 of 100

The index averages only the coding benchmarks that have a result; the others are skipped, never filled in. How it is weighted

Other public boards

All rankings

Coding11 of 46 boards

5 more coding boards

Not measured on Aider polyglot, SWE-bench Verified, SWE-bench Lite, SWE-bench (full test set), SWE-bench Multimodal, SWE-bench Multilingual, AA Coding Index, LiveCodeBench (Vals AI), Code migration (Vals AI), IOI (Vals AI), Terminal-Bench 2.1 (Vals AI), Vibe Code Bench 1-100 (Vals AI), SkillsBench (Vals AI), CyberBench (Vals AI), LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run), Terminal-Bench, DeepSWE, GSO-Bench, WeirdML, MirrorCode, Cybench, LMArena Text: coding, LMArena Text: software and IT, LMArena WebDev: from an image, SciCode, SWE-Bench Pro V2, SWE Atlas: Codebase QnA, SWE Atlas: Refactoring, SWE Atlas: Test Writing, Terminal-Bench 2.0, Terminal-Bench 2.1, Terminal-Bench 3.0, Terminal-Bench 4.0, ProgramBench

Intelligence2 of 2 boards

Agentic work15 of 44 boards

9 more agentic work boards

Not measured on AA Agentic Index, Design Arena: agents building web apps, Design Arena: agents building Android apps, Design Arena: agents building Godot games, Design Arena: agents building games, Design Arena: HTML slides, Design Arena: PowerPoint slides, SREBench (Vals AI), Finance Agent (Vals AI), Excel Modeling Benchmark (Vals AI), Time Horizon Index (Vals AI), CUA-bench (Vals AI), Robo-bench (Vals AI), τ²-Bench Telecom, METR time horizons, GDPval, OSWorld 2.0, BALROG, DeepResearch Bench, PostTrainBench, TheAgentCompany, OSWorld, Vending-Bench 2, LMArena Search, Berkeley Function Calling Leaderboard (BFCL), BrowseComp-Plus, MCP Atlas, Toolathlon-Verified, τ³-Banking

Reasoning14 of 26 boards

8 more reasoning boards

Not measured on GPQA Diamond, MMMU Pro (Vals AI), GPQA Diamond (Artificial Analysis run), Humanity's Last Exam, VPCT, BIG-Bench Hard, LMArena Text: hard prompts, LMArena Text: expert, LMArena Text: hard prompts in English, LMArena Vision: diagrams, LMArena Vision: homework, Kagi LLM Benchmark

Math5 of 14 boards

Not measured on AIME, MATH 500 (Vals AI), MGSM (Vals AI), AA Math Index, AIME 2025 (Artificial Analysis run), MATH level 5, GSM8K, LMArena Text: math, LMArena Text: mathematical work

Knowledge4 of 21 boards

Not measured on MMLU Pro, LegalBench (Vals AI), CaseLaw (Vals AI), CorpFin (Vals AI), TaxEval (Vals AI), MortgageTax (Vals AI), MedQA (Vals AI), MedCode (Vals AI), MMLU Pro (Artificial Analysis run), MMLU, GeoBench, AI2 Reasoning Challenge, LMArena Text: science, LMArena Text: medicine and healthcare, LMArena Text: legal and government, LMArena Text: business and finance, FACTS Benchmark Suite

Web design6 of 9 boards

Not measured on Design Arena: data viz, Design Arena: SVG, Design Arena: ASCII art

General7 of 49 boards

1 more general boards

Not measured on Public Benefits Bench (Vals AI), SAGE (Vals AI), MedScribe (Vals AI), Vals Multimodal Index, IFBench, Fiction.LiveBench, Creative writing (Lech Mazur), CL-bench, Surface Evolver Bench, ExploitBench, HellaSwag, WinoGrande, PIQA, CL-bench Life, LMArena Text, LMArena Text: instruction following, LMArena Text: creative writing, LMArena Vision, LMArena Text: English, LMArena Text: non-English, LMArena Text: Chinese, LMArena Text: German, LMArena Text: Japanese, LMArena Text: Korean, LMArena Text: French, LMArena Text: Spanish, LMArena Text: Russian, LMArena Text: Polish, LMArena Text: multi-turn, LMArena Text: longer queries, LMArena Text: writing and language, LMArena Text: entertainment and media, LMArena Vision: English, LMArena Vision: Chinese, LMArena Vision: reading text, LMArena Vision: humor, LMArena Vision: captioning, LMArena Vision: recognizing things, LMArena Vision: creative writing, LMArena Document, MultiChallenge, EQ-Bench 4

Image generation0 of 5 boards

Not measured on Design Arena: images, Design Arena: graphic design, Design Arena: logos, LMArena Text to Image, LMArena Image Edit

Public boards shown as published (Vals AI, Artificial Analysis, Design Arena) and kept out of the coding index. Each links to its source on the benchmark page.

All 222 benchmarks as a table
Benchmark results for Anthropic Claude Fable 5.2
BenchmarkResultIndex weight
Aider polyglotCoding Not measured Not in index
SWE-bench VerifiedCoding Not measured Not in index
SWE-bench LiteCoding Not measured Not in index
SWE-bench (full test set)Coding Not measured Not in index
SWE-bench MultimodalCoding Not measured Not in index
SWE-bench MultilingualCoding Not measured Not in index
LiveBench codingCoding 79.2% 15%
LMArena WebDevCoding 1838(xHigh) 10%
Vals IndexGeneral 71.3% Not in index
GPQA DiamondReasoning Not measured Not in index
AIMEMath Not measured Not in index
MMLU ProKnowledge Not measured Not in index
AA Intelligence IndexIntelligence 64.6 Not in index
AA Coding IndexCoding Not measured Not in index
AA Agentic IndexAgentic work Not measured Not in index
Design Arena: websitesWeb design 1351 Not in index
Design Arena: UI componentsWeb design 1371 Not in index
Design Arena: game devWeb design 1396 Not in index
Design Arena: data vizWeb design Not measured Not in index
Design Arena: 3DWeb design 1517 Not in index
Design Arena: all code categoriesWeb design 1373 Not in index
Design Arena: SVGWeb design Not measured Not in index
Design Arena: ASCII artWeb design Not measured Not in index
Design Arena: agents building web appsAgentic work Not measured Not in index
Design Arena: agents building full-stack appsAgentic work 1402 Not in index
Design Arena: agents building mobile appsAgentic work 1325 Not in index
Design Arena: agents building Android appsAgentic work Not measured Not in index
Design Arena: agents building Godot gamesAgentic work Not measured Not in index
Design Arena: agents building gamesAgentic work Not measured Not in index
Design Arena: HTML slidesAgentic work Not measured Not in index
Design Arena: PowerPoint slidesAgentic work Not measured Not in index
Design Arena: spreadsheetsAgentic work 1434 Not in index
Design Arena: imagesImage generation Not measured Not in index
Design Arena: graphic designImage generation Not measured Not in index
Design Arena: logosImage generation Not measured Not in index
LiveBench reasoningReasoning 88.8% Not in index
LiveBench data analysisGeneral 81.5% Not in index
LiveBench researchAgentic work 94.5% Not in index
LiveBench browserAgentic work 86.9% Not in index
LiveBench long agenticAgentic work 82.9% Not in index
LiveBench designWeb design 85.1% Not in index
LiveCodeBench (Vals AI)Coding Not measured Not in index
SWE-bench Verified (Vals AI)Coding Not measured 15%
Terminal-Bench 4 (Vals AI)Coding 65.2%(Mini-SWE-agent) 25%
Vibe Code Bench (Vals AI)Coding 93.8%(OpenHands) 20%
Code migration (Vals AI)Coding Not measured Not in index
ProgramBench (Vals AI)Coding 19.0% Not in index
SREBench (Vals AI)Agentic work Not measured Not in index
IOI (Vals AI)Coding Not measured Not in index
Terminal-Bench 2.1 (Vals AI)Coding Not measured Not in index
SWE-bench Multimodal (Vals AI)Coding 62.3% Not in index
Vibe Code Bench 1-100 (Vals AI)Coding Not measured Not in index
SkillsBench (Vals AI)Coding Not measured Not in index
CyberBench (Vals AI)Coding Not measured Not in index
Finance Agent (Vals AI)Agentic work Not measured Not in index
Tax Agent Bench (Vals AI)Agentic work 32.1% Not in index
Legal Research Bench (Vals AI)Agentic work 46.1% Not in index
Harvey's Legal Agent Benchmark (Vals AI)Agentic work 5.0% Not in index
Excel Modeling Benchmark (Vals AI)Agentic work Not measured Not in index
BioMysteryBench (Vals AI)Agentic work 83.7% Not in index
Terminal-Bench-Science (Vals AI)Agentic work 55.7%(Mini-SWE-agent) Not in index
Vals Science IndexAgentic work 63.7% Not in index
Time Horizon Index (Vals AI)Agentic work Not measured Not in index
CUA-bench (Vals AI)Agentic work Not measured Not in index
Robo-bench (Vals AI)Agentic work Not measured Not in index
Public Benefits Bench (Vals AI)General Not measured Not in index
MysteryMechanism (Vals AI)Reasoning 51.8% Not in index
MMMU Pro (Vals AI)Reasoning Not measured Not in index
MATH 500 (Vals AI)Math Not measured Not in index
MGSM (Vals AI)Math Not measured Not in index
SAGE (Vals AI)General Not measured Not in index
LegalBench (Vals AI)Knowledge Not measured Not in index
CaseLaw (Vals AI)Knowledge Not measured Not in index
CorpFin (Vals AI)Knowledge Not measured Not in index
TaxEval (Vals AI)Knowledge Not measured Not in index
MortgageTax (Vals AI)Knowledge Not measured Not in index
MedQA (Vals AI)Knowledge Not measured Not in index
MedCode (Vals AI)Knowledge Not measured Not in index
MedScribe (Vals AI)General Not measured Not in index
Vals Multimodal IndexGeneral Not measured Not in index
AA Math IndexMath Not measured Not in index
GPQA Diamond (Artificial Analysis run)Reasoning Not measured Not in index
Humanity's Last Exam (Artificial Analysis run)Reasoning 74.3%(Max) Not in index
MMLU Pro (Artificial Analysis run)Knowledge Not measured Not in index
LiveCodeBench (Artificial Analysis run)Coding Not measured Not in index
SciCodeCoding 67.7%(Max) Not in index
Terminal-Bench Hard (Artificial Analysis run)Coding Not measured Not in index
IFBenchGeneral Not measured Not in index
Long context reasoning (AA-LCR)General 83.3%(Max) Not in index
τ²-Bench TelecomAgentic work Not measured Not in index
AIME 2025 (Artificial Analysis run)Math Not measured Not in index
Terminal-Bench 4.0 (Artificial Analysis run)Coding 61.6%(xHigh) Not in index
FrontierCode 2.0Coding 49.1%(High) Not in index
HLE-Diamond (Artificial Analysis run)Reasoning 80.2%(Max) Not in index
GDPval-AAGeneral 1831(Max) Not in index
AA-OmniscienceKnowledge 66.8(Max) Not in index
CritPt v2, hard subset (Artificial Analysis run)Reasoning 76.5%(Max) Not in index
Terminal-BenchCoding Not measured Not in index
DeepSWECoding Not measured Not in index
FrontierCodeCoding Not measured 15%
FrontierSWECoding 69.9%(Max) Not in index
GSO-BenchCoding Not measured Not in index
WeirdMLCoding Not measured Not in index
MirrorCodeCoding Not measured Not in index
APEX-AgentsAgentic work 80.1% Not in index
METR time horizonsAgentic work Not measured Not in index
Remote Labor IndexAgentic work 41.3% Not in index
GDPvalAgentic work Not measured Not in index
OSWorld 2.0Agentic work Not measured Not in index
BALROGAgentic work Not measured Not in index
DeepResearch BenchAgentic work Not measured Not in index
PostTrainBenchAgentic work Not measured Not in index
GPQA Diamond (Epoch AI run)Reasoning 93.9%(Max) Not in index
ARC-AGIReasoning 98.5%(xHigh) Not in index
ARC-AGI-2Reasoning 93.8%(xHigh) Not in index
Humanity's Last ExamReasoning Not measured Not in index
SimpleBenchReasoning 94.9% Not in index
Chess puzzlesReasoning 79.0%(Max) Not in index
Mystery game puzzlesReasoning 90.0%(Max) Not in index
EBR-benchReasoning 90.5%(Max) Not in index
OTIS Mock AIMEMath 99.7%(Max) Not in index
FrontierMath, tiers 1 to 3Math 95.1%(Max) Not in index
FrontierMath, tier 4Math 100.0%(Max) Not in index
ProofBenchMath 100.0%(Max) Not in index
MATH level 5Math Not measured Not in index
GSM8KMath Not measured Not in index
SimpleQA VerifiedKnowledge 94.0%(Max) Not in index
MMLUKnowledge Not measured Not in index
GeoBenchKnowledge Not measured Not in index
DTBenchGeneral 99.2% Not in index
LMCAGeneral 70.6%(xHigh) Not in index
Fiction.LiveBenchGeneral Not measured Not in index
Creative writing (Lech Mazur)General Not measured Not in index
CL-benchGeneral Not measured Not in index
Surface Evolver BenchGeneral Not measured Not in index
Furniture assemblyGeneral 90.0%(Max) Not in index
ExploitBenchGeneral Not measured Not in index
CybenchCoding Not measured Not in index
TheAgentCompanyAgentic work Not measured Not in index
OSWorldAgentic work Not measured Not in index
SpireClimbAgentic work 15.5%(Max) Not in index
VPCTReasoning Not measured Not in index
BIG-Bench HardReasoning Not measured Not in index
AI2 Reasoning ChallengeKnowledge Not measured Not in index
HellaSwagGeneral Not measured Not in index
WinoGrandeGeneral Not measured Not in index
PIQAGeneral Not measured Not in index
CL-bench LifeGeneral Not measured Not in index
ALE-BenchCoding 2509.8(High) Not in index
Vending-Bench 2Agentic work Not measured Not in index
Epoch Capabilities IndexIntelligence 173.4 Not in index
LMArena TextGeneral Not measured Not in index
LMArena Text: codingCoding Not measured Not in index
LMArena Text: hard promptsReasoning Not measured Not in index
LMArena Text: mathMath Not measured Not in index
LMArena Text: instruction followingGeneral Not measured Not in index
LMArena Text: creative writingGeneral Not measured Not in index
LMArena VisionGeneral Not measured Not in index
LMArena Text: EnglishGeneral Not measured Not in index
LMArena Text: non-EnglishGeneral Not measured Not in index
LMArena Text: ChineseGeneral Not measured Not in index
LMArena Text: GermanGeneral Not measured Not in index
LMArena Text: JapaneseGeneral Not measured Not in index
LMArena Text: KoreanGeneral Not measured Not in index
LMArena Text: FrenchGeneral Not measured Not in index
LMArena Text: SpanishGeneral Not measured Not in index
LMArena Text: RussianGeneral Not measured Not in index
LMArena Text: PolishGeneral Not measured Not in index
LMArena Text: multi-turnGeneral Not measured Not in index
LMArena Text: longer queriesGeneral Not measured Not in index
LMArena Text: expertReasoning Not measured Not in index
LMArena Text: hard prompts in EnglishReasoning Not measured Not in index
LMArena Text: software and ITCoding Not measured Not in index
LMArena Text: mathematical workMath Not measured Not in index
LMArena Text: scienceKnowledge Not measured Not in index
LMArena Text: medicine and healthcareKnowledge Not measured Not in index
LMArena Text: legal and governmentKnowledge Not measured Not in index
LMArena Text: business and financeKnowledge Not measured Not in index
LMArena Text: writing and languageGeneral Not measured Not in index
LMArena Text: entertainment and mediaGeneral Not measured Not in index
LMArena WebDev: ReactCoding 1915(xHigh) Not in index
LMArena WebDev: HTMLCoding 1738(xHigh) Not in index
LMArena WebDev: from an imageCoding Not measured Not in index
LMArena Vision: EnglishGeneral Not measured Not in index
LMArena Vision: ChineseGeneral Not measured Not in index
LMArena Vision: reading textGeneral Not measured Not in index
LMArena Vision: diagramsReasoning Not measured Not in index
LMArena Vision: homeworkReasoning Not measured Not in index
LMArena Vision: humorGeneral Not measured Not in index
LMArena Vision: captioningGeneral Not measured Not in index
LMArena Vision: recognizing thingsGeneral Not measured Not in index
LMArena Vision: creative writingGeneral Not measured Not in index
LMArena SearchAgentic work Not measured Not in index
LMArena DocumentGeneral Not measured Not in index
LMArena Text to ImageImage generation Not measured Not in index
LMArena Image EditImage generation Not measured Not in index
Berkeley Function Calling Leaderboard (BFCL)Agentic work Not measured Not in index
Kagi LLM BenchmarkReasoning Not measured Not in index
BrowseComp-PlusAgentic work Not measured Not in index
SciCodeCoding Not measured Not in index
FACTS Benchmark SuiteKnowledge Not measured Not in index
MathArenaMath 82.8%(max) Not in index
MultiChallengeGeneral Not measured Not in index
MCP AtlasAgentic work Not measured Not in index
Humanity's Last Exam (Scale run)Reasoning 72.4% Not in index
PRBench FinanceKnowledge 47.1% Not in index
PRBench LegalKnowledge 49.0% Not in index
SWE-Bench Pro V2Coding Not measured Not in index
SWE Atlas: Codebase QnACoding Not measured Not in index
SWE Atlas: RefactoringCoding Not measured Not in index
SWE Atlas: Test WritingCoding Not measured Not in index
EQ-Bench 4General Not measured Not in index
GameBench 2Coding 99.1(xHigh) Not in index
GoBenchReasoning 2566(High) Not in index
Terminal-Bench 2.0Coding Not measured Not in index
Terminal-Bench 2.1Coding Not measured Not in index
Terminal-Bench 3.0Coding Not measured Not in index
Terminal-Bench 4.0Coding Not measured Not in index
CursorBench 4.0Coding 60.0%(max) Not in index
Toolathlon-VerifiedAgentic work Not measured Not in index
ProgramBenchCoding Not measured Not in index
τ³-BankingAgentic work Not measured Not in index

Scores by reasoning effort

Some boards test this model at more than one reasoning effort. Rankings use its best run; every run the source published is listed here.

Scores by reasoning effort
BenchmarkEffortScoreSource
AA-Omniscience Max · used in rankings 66.8 Artificial Analysis
AA-Omniscience xHigh 64.8 Artificial Analysis
AA-Omniscience High 64.0 Artificial Analysis
AA-Omniscience Medium 63.5 Artificial Analysis
AA-Omniscience Low 62.9 Artificial Analysis
ARC-AGI xHigh · used in rankings 98.5% Epoch AI benchmarking hub
ARC-AGI Max 97.5% Epoch AI benchmarking hub
ARC-AGI Medium 97.5% Epoch AI benchmarking hub
ARC-AGI High 97.5% Epoch AI benchmarking hub
ARC-AGI Low 94.5% Epoch AI benchmarking hub
ARC-AGI-2 xHigh · used in rankings 93.8% Epoch AI benchmarking hub
ARC-AGI-2 Max 92.5% Epoch AI benchmarking hub
ARC-AGI-2 High 90.4% Epoch AI benchmarking hub
ARC-AGI-2 Medium 89.6% Epoch AI benchmarking hub
ARC-AGI-2 Low 86.7% Epoch AI benchmarking hub
CritPt v2, hard subset (Artificial Analysis run) Max · used in rankings 76.5% Artificial Analysis
CritPt v2, hard subset (Artificial Analysis run) xHigh 73.5% Artificial Analysis
CritPt v2, hard subset (Artificial Analysis run) High 73.0% Artificial Analysis
CritPt v2, hard subset (Artificial Analysis run) Medium 61.5% Artificial Analysis
CritPt v2, hard subset (Artificial Analysis run) Low 60.0% Artificial Analysis
CursorBench 4.0 max · used in rankings 60.0% CursorBench (Cursor)
CursorBench 4.0 high 56.9% CursorBench (Cursor)
CursorBench 4.0 xhigh 56.3% CursorBench (Cursor)
CursorBench 4.0 medium 54.8% CursorBench (Cursor)
CursorBench 4.0 low 53.2% CursorBench (Cursor)
DTBench used in rankings 99.2% Epoch AI benchmarking hub
DTBench xHigh 98.9% Epoch AI benchmarking hub
DTBench High 98.1% Epoch AI benchmarking hub
DTBench Medium 98.1% Epoch AI benchmarking hub
DTBench Low 98.1% Epoch AI benchmarking hub
FrontierCode 2.0 High · used in rankings 49.1% Artificial Analysis
FrontierCode 2.0 Max 48.8% Artificial Analysis
FrontierCode 2.0 xHigh 47.6% Artificial Analysis
FrontierCode 2.0 Medium 41.3% Artificial Analysis
FrontierCode 2.0 Low 38.4% Artificial Analysis
GameBench 2 xHigh · used in rankings 99.1 DuelLab GameBench 2
GameBench 2 Medium 94.0 DuelLab GameBench 2
GameBench 2 Low 91.8 DuelLab GameBench 2
GDPval-AA Max · used in rankings 1831 Artificial Analysis
GDPval-AA xHigh 1751 Artificial Analysis
GDPval-AA High 1718 Artificial Analysis
GDPval-AA Medium 1591 Artificial Analysis
GDPval-AA Low 1546 Artificial Analysis
HLE-Diamond (Artificial Analysis run) Max · used in rankings 80.2% Artificial Analysis
HLE-Diamond (Artificial Analysis run) xHigh 75.8% Artificial Analysis
HLE-Diamond (Artificial Analysis run) High 73.8% Artificial Analysis
HLE-Diamond (Artificial Analysis run) Medium 66.3% Artificial Analysis
HLE-Diamond (Artificial Analysis run) Low 60.8% Artificial Analysis
Humanity's Last Exam (Artificial Analysis run) Max · used in rankings 74.3% Artificial Analysis
Humanity's Last Exam (Artificial Analysis run) xHigh 68.9% Artificial Analysis
Humanity's Last Exam (Artificial Analysis run) High 66.2% Artificial Analysis
Humanity's Last Exam (Artificial Analysis run) Medium 61.9% Artificial Analysis
Humanity's Last Exam (Artificial Analysis run) Low 59.7% Artificial Analysis
LMCA xHigh · used in rankings 70.6% Epoch AI benchmarking hub
LMCA Medium 70.0% Epoch AI benchmarking hub
LMCA High 69.9% Epoch AI benchmarking hub
LMCA Low 69.6% Epoch AI benchmarking hub
Long context reasoning (AA-LCR) Max · used in rankings 83.3% Artificial Analysis
Long context reasoning (AA-LCR) High 83.3% Artificial Analysis
Long context reasoning (AA-LCR) xHigh 82.7% Artificial Analysis
Long context reasoning (AA-LCR) Medium 80.0% Artificial Analysis
Long context reasoning (AA-LCR) Low 80.0% Artificial Analysis
SciCode Max · used in rankings 67.7% Artificial Analysis
SciCode xHigh 65.6% Artificial Analysis
SciCode Medium 59.7% Artificial Analysis
SciCode High 59.5% Artificial Analysis
SciCode Low 57.8% Artificial Analysis
Terminal-Bench 4.0 (Artificial Analysis run) xHigh · used in rankings 61.6% Artificial Analysis
Terminal-Bench 4.0 (Artificial Analysis run) Max 59.6% Artificial Analysis
Terminal-Bench 4.0 (Artificial Analysis run) High 59.6% Artificial Analysis
Terminal-Bench 4.0 (Artificial Analysis run) Medium 55.1% Artificial Analysis
Terminal-Bench 4.0 (Artificial Analysis run) Low 54.5% Artificial Analysis

What it costs

A list price says what a token costs. The cost per solved task says what a working answer costs, which is the number that decides.

Output price against the market

Claude Fable 5.2 pricing
$0.045Dashed line: median $1.90, log scale$180.00
$40.00 per million output tokens is cheaper than 3% of the 338 paid models in the catalog.

Cost per solved task

How it is computed

Neither board that publishes what a SWE-bench Verified attempt costs, Vals AI and swebench.com, has run this model. We leave the number out rather than estimate it.

LiveBench, on its own coding tasks, publishes what one task cost this model: $13.893, at a score of 79.2%. LiveBench counts that as $17.542 per successful task. Different tasks from SWE-bench, so it is not our number and does not enter its ranking. LiveBench coding

Nearly as good as Claude Fable 5.2, for less

What the boards say about its runs

Beside a result, many boards publish what the run cost, how long it took, the tokens it spent or the votes behind a rating. Each figure as its board printed it, one board per row.

What each board publishes about the runs behind Anthropic: Claude Fable 5.2's results
BoardResultWhat the run costAlso published
LiveBench coding 79.2% $13.8934 per task Output tokens per task 125,865
Vals Index 71.3% $17.94 per test Nothing else
LiveBench reasoning 88.8% $0.1641 per task Output tokens per task 3,688
LiveBench data analysis 81.5% $0.4983 per task Output tokens per task 11,449
LiveBench research 94.5% $13.2676 per task Output tokens per task 113,205
LiveBench browser 86.9% $3.4434 per task Output tokens per task 16,442
LiveBench long agentic 82.9% $160.9279 per task Output tokens per task 1.4M
LiveBench design 85.1% $7.2039 per task Output tokens per task 105,434
Terminal-Bench 4 (Vals AI) 65.2%(Mini-SWE-agent) $14.56 per test Nothing else
Vibe Code Bench (Vals AI) 93.8%(OpenHands) $22.13 per test Nothing else
ProgramBench (Vals AI) 19.0% $46.82 per test Nothing else
SWE-bench Multimodal (Vals AI) 62.3% $1.84 per test Nothing else
25 more boards
What each board publishes about the runs behind Anthropic: Claude Fable 5.2's results, continued
Tax Agent Bench (Vals AI) 32.1% $3.31 per test Nothing else
Legal Research Bench (Vals AI) 46.1% $3.96 per test Nothing else
Harvey's Legal Agent Benchmark (Vals AI) 5.0% $19.37 per test Nothing else
BioMysteryBench (Vals AI) 83.7% $1.68 per test Nothing else
Terminal-Bench-Science (Vals AI) 55.7%(Mini-SWE-agent) $23.14 per test Nothing else
Vals Science Index 63.7% $8.79 per test Nothing else
MysteryMechanism (Vals AI) 51.8% $1.55 per test Nothing else
FrontierSWE 69.9%(Max) $168.78 average cost per task Best of 5 runs 79.2% · Hours per task 16.5 h
ProofBench 100.0%(Max) $0.7861 per test Time per proof 2m 51s
ALE-Bench 2509.8(High) $1.5033 per problem Tokens per problem 40,914
MathArena 82.8%(max) $40.2047 expected cost per problem Nothing else
GameBench 2 99.1(xHigh) $4.579 per program First-try builds 100.0% · Failed programs 0.0% · Matches 4,484 · Wins 4,452 · Draws 6 · Losses 26
GoBench 2566 Elo(High) $0.15 per move Interval (±) ±133.0 · Seconds per move 31 s
LMArena WebDev 1838 Elo(xHigh) Not published Votes 1,215 · Interval (±) ±20.5
Design Arena: websites 1351 Elo Not published Battles 1,321
Design Arena: UI components 1371 Elo Not published Battles 191
Design Arena: game dev 1396 Elo Not published Battles 569
Design Arena: 3D 1517 Elo Not published Battles 304
Design Arena: all code categories 1373 Elo Not published Battles 2,213
Design Arena: agents building full-stack apps 1402 Elo Not published Battles 310
Design Arena: agents building mobile apps 1325 Elo Not published Battles 368
Design Arena: spreadsheets 1434 Elo Not published Battles 177
APEX-Agents 80.1% Not published Mean score 87.6%
LMArena WebDev: React 1915 Elo(xHigh) Not published Votes 737 · Interval (±) ±29.7
LMArena WebDev: HTML 1738 Elo(xHigh) Not published Votes 200 · Interval (±) ±46.6

Results Anthropic reported at launch

Anthropic published these results with the model's release on November 9, 2026. They are the maker's own numbers, not independent measurements, and they do not count toward the LLMBenchmark Index.

Anthropic Claude Fable 5.2: launch results and current rankings

Anthropic Claude Fable 5.2 API providers

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