BenchLeader

Claude Fable 5.1 vs Claude Fable 5.2

Full profiles: Claude Fable 5.1 (Anthropic) and Claude Fable 5.2 (Anthropic): every benchmark, price and rank.

Updated · Data from 11 sources

As of 9 Nov 2026, Claude Fable 5.1 and Claude Fable 5.2 are neck and neck on quality (66.9 vs 69.4 on the BenchLeader Index, inside the ±7.0 margin), and Claude Fable 5.2 is 1.3× cheaper at $16.00 vs $20.00 per 1M tokens blended. Choose Fable 5.1 for long context (68 vs 66); choose Fable 5.2 for fast first answers (3.0 s vs 171.7 s) and coding (80 vs 71), knowledge (82 vs 73), and reasoning (78 vs 70).

Key facts (as of 9 Nov 2026)

  • Claude Fable 5.1 scores 66.9 on the BenchLeader Index and Claude Fable 5.2 scores 69.4 (BenchLeader, 9 Nov 2026).
  • Claude Fable 5.1 costs $20.00 per 1M tokens blended (list price, 9 Nov 2026).
  • Claude Fable 5.2 costs $16.00 per 1M tokens blended (list price, 9 Nov 2026).
  • Of the 21 benchmarks both models have, Claude Fable 5.2 leads 18 (BenchLeader, 9 Nov 2026).

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
CodingClaude Fable 5.280 vs 71 category score; FrontierCode 2.0 (AA) 48.8% vs 31.6%High
ReasoningClaude Fable 5.278 vs 70 category score; HLE-Diamond (AA) 80.2% vs 60.1%High
KnowledgeClaude Fable 5.282 vs 73 category score; AA-Omniscience v1.1 66.8 vs 46.3High
Long documentsClaude Fable 5.168 vs 66 category score; AA-LCR v1.1 85.3% vs 83.3%Medium
Chat quality (human preference)–Only Claude Fable 5.1 has an Arena rating (70 category score)Not comparable
Lowest costClaude Fable 5.2$16.00 vs $20.00 per 1M blended; agentic coding session $0.640 vs $0.800–
Fastest first answerClaude Fable 5.23.0 s (Claude Fable 5.2 (max)) vs 171.7 s (Claude Fable 5.1 (max)) to the first answer token–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Claude Fable 5.1 (max) and Claude Fable 5.2 (max) are neck and neck on quality (66.9 vs 69.4, within the ±7.0 margin).
  • Claude Fable 5.1 (max) is stronger in agents & tools, human preference, long context, maths, multimodal.
  • Claude Fable 5.2 (max) is stronger in coding, knowledge, reasoning.
  • Claude Fable 5.2 (max) is 1.3× cheaper ($16.00 vs $20.00 per 1M blended).

At a glance

SpecClaude Fable 5.1Claude Fable 5.2
DeveloperAnthropicAnthropic
Released1 Sep 20269 Nov 2026
Context window (tokens)1,000,0001,000,000
Compared atClaude Fable 5.1 (max)Claude Fable 5.2 (max)
Open weightsNoNo
Price in / out / cached input per 1M$10.00 / $50.00 / $0.250$8.00 / $40.00 / $0.200

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryClaude Fable 5.1 (max)Claude Fable 5.2 (max)Leader
Reasoning69.678.4Claude Fable 5.2
Coding70.980.2Claude Fable 5.2
Agents & tools60.3–not comparable
Maths72.5–not comparable
Knowledge72.681.7Claude Fable 5.2
Human preference69.9–not comparable
Multimodal67.4–not comparable
Long context67.566.4Claude Fable 5.1

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

2550 avg75ReasoningCodingKnowledgeLong contextClaude Fable 5.1, Reasoning: 69.6Claude Fable 5.1, Coding: 70.9Claude Fable 5.1, Knowledge: 72.6Claude Fable 5.1, Long context: 67.5Claude Fable 5.2, Reasoning: 78.4Claude Fable 5.2, Coding: 80.2Claude Fable 5.2, Knowledge: 81.7Claude Fable 5.2, Long context: 66.4

Not drawn, measured for fewer than two of these models: Agents & tools, Maths, Instruction following, Multimodal, Human preference.

ModelIndex

Where sources disagree

Across the 21 benchmarks both have, Claude Fable 5.1 leads 2, Claude Fable 5.2 leads 18 and 1 is a tie. Every overall index that rates both puts Claude Fable 5.2 ahead.

Overall indexClaude Fable 5.1 (max)Claude Fable 5.2 (max)Leader
BenchLeader Index66.969.4neck and neck
AA Intelligence Index v5.049.264.6Claude Fable 5.2

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

MeasureClaude Fable 5.1 (max)Claude Fable 5.2 (max)
Blended price per 1M tokens$20.00$16.00
Input / output per 1M$10.00 / $50.00$8.00 / $40.00
Cached input per 1M$0.250$0.200
Price per task: chat reply$0.019$0.015
Price per task: summarize a 30-page report$0.150$0.120
Price per task: code edit$0.135$0.108
Price per task: agentic coding session$0.800$0.640
Price per task: structured extraction$0.030$0.024
Agentic coding session, input mostly cached$0.361$0.289
Cost per benchmark task (AA Index)$12.99$26.54
Output tokens per task (AA Index)118k274k
Of which reasoning71k193k
Time per task (AA Index)23 min–
Output speed87 tok/s72 tok/s
Time to first answer171.7 s3.0 s
Time to a complete answer403.1 s–

Per token is not per task: an average task of Artificial Analysis' Intelligence Index cost $12.99 on Claude Fable 5.1 (max) and $26.54 on Claude Fable 5.2 (max), and Claude Fable 5.2 (max) wrote 2.3× as many output tokens for the same work, which a per-token price hides.

Each model is compared at its best-ranked reasoning-effort setting. Claude Fable 5.1 (max) scores 66.9 and takes 172 s to its first answer token; Claude Fable 5.1 scores 66.0 in 3 s, Claude Fable 5.1 (xhigh) scores 64.6 in 59 s. Claude Fable 5.2 (max) scores 69.4 and takes 3 s to its first answer token; Claude Fable 5.2 (high) scores 68.9 in 3 s, Claude Fable 5.2 (xhigh) scores 68.7 in 3 s. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

147 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherClaude Fable 5.1 (max)Claude Fable 5.2 (max)
BenchLeader IndexBenchLeader66.969.4
Agents & tools scoreBenchLeader60.3–
Coding scoreBenchLeader70.980.2
Human preference scoreBenchLeader69.9–
Knowledge scoreBenchLeader72.681.7
Long context scoreBenchLeader67.566.4
Maths scoreBenchLeader72.5–
Multimodal scoreBenchLeader67.4–
Reasoning scoreBenchLeader69.678.4
Blended price $/MBenchLeader$20.00$16.00
Output speedBenchLeader87 tok/s72 tok/s
Time to first answerBenchLeader171.7 s3.0 s
Context windowBenchLeader1,000,000 tokens1,000,000 tokens
Reasoning
Humanity's Last ExamScale AI / CAIS46.5%†–
Arena Hard PromptsArena (LMArena)1521–
LiveBench 2.0 ReasoningLiveBench91.7%†88.8%†
LiveBench 1.0 ReasoningLiveBench91.7%–
GPQA Diamond (AA)Artificial Analysis93.7%–
Humanity's Last Exam (AA)Artificial Analysis59.1%74.3%
HLE-Diamond (AA)Artificial Analysis60.1%80.2%
GPQA Diamond (Vals)Vals AI93.4%†–
ARC-AGI-1ARC Prize97.5%97.5%
ARC-AGI-2ARC Prize90.0%92.5%
ARC-AGI-3ARC Prize–94.9%
CritPtArtificial Analysis29.7%35.4%
CritPt v2 hard subset (AA)Artificial Analysis52.5%76.5%
MysteryMechanismVals AI47.8%†51.8%†
Chess PuzzlesEpoch AI Benchmarking Hub48.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub58.0%–
LMCAEpoch AI Benchmarking Hub65.5%†–
DTBenchEpoch AI Benchmarking Hub97.6%†–
Coding
SciCodeSciCode63.1%–
WeirdMLWeirdML92.9%–
FrontierCodeCognition50.9%†–
GSO-BenchGSO-Bench88.2%†–
Arena CodingArena (LMArena)1534–
Arena WebDevArena (LMArena)1744–
LiveBench 2.0 CodingLiveBench89.7%†79.2%†
Show all 147 benchmarks
MetricPublisherClaude Fable 5.1 (max)Claude Fable 5.2 (max)
Coding
LiveBench 1.0 CodingLiveBench86.4%–
SciCode (AA)Artificial Analysis63.1%67.7%
LiveCodeBenchVals AI90.5%†–
IOIVals AI90.8%†–
Code MigrationVals AI54.6%†–
Code Migration v1.1Vals AI–83.3%†
ProgramBenchVals AI7.0%†19.0%†
SWE-bench MultimodalVals AI61.3%†62.3%†
Vibe Code Bench 1-100Vals AI28.0%†–
Vibe Code Bench v1.1Vals AI90.3%†93.8%†
SWE Atlas: Codebase QnAScale AI SEAL60.0%†–
SWE Atlas: RefactoringScale AI SEAL56.7%†–
SWE Atlas: Test WritingScale AI SEAL67.0%†–
MirrorCodeEpoch AI Benchmarking Hub73.3%†–
CursorBenchCursor51.8%–
ALE-BenchEpoch AI Benchmarking Hub2143.2†–
FrontierSWEEpoch AI Benchmarking Hub56.3%–
Terminal-Bench 4.0 (AA)Artificial Analysis52.0%59.6%
Terminal-Bench 2.1 (AA)Artificial Analysis91.4%–
Startrise FrontendStartrise77.1%†–
GameBench 2 OverallDuelLab GameBench 287.2†–
GameBench 2 by reasoning settingDuelLab GameBench 294.1†–
Design Arena WebsiteDesign Arena1306†–
FrontierCode 1.1 (AA)Artificial Analysis49.0%56.2%
FrontierCode 2.0 (AA)Artificial Analysis31.6%48.8%
Agents & tools
Terminal-BenchTerminal-Bench57.3%–
Remote Labor IndexScale AI / CAIS17.9%†–
APEX-AgentsMercor68.6%†–
Arena AgentArena (LMArena)14.3–
LiveBench Long AgenticLiveBench74.2%†82.9%†
LiveBench BrowserLiveBench89.8%†86.9%†
LiveBench Agentic CodingLiveBench66.1%–
Terminal-Bench 2.1 (Vals)Vals AI85.0%†–
MCP AtlasScale AI SEAL87.2%†–
HiL-BenchScale AI SEAL61.5%†–
GDPval-AA v2.1, normalised scoreArtificial Analysis62.7%–
GDPval-AA v2.1Artificial Analysis–1831
τ³-Banking (AA)Artificial Analysis47.2%–
ITBench SRE (AA)Artificial Analysis49.5%–
Analyst Agent (AA)Artificial Analysis57.5%–
CUA-benchVals AI13.2%–
CyberBenchVals AI70.4%†–
Finance Agent v2Vals AI58.9%†–
Finance Agent v2.1Vals AI–69.5%†
Harvey's Legal Agent Benchmark v1.1Vals AI–5.0%†
Harvey's Legal Agent Benchmark v1Vals AI6.7%†–
Legal Research BenchVals AI55.3%†46.1%†
Robo-benchVals AI5.8%–
SkillsBenchVals AI61.5%†–
SREBenchVals AI22.9%†–
Tax Agent BenchVals AI50.8%†32.1%†
Terminal-Bench 4.0 (Vals)Vals AI58.1%†65.2%†
Terminal-Bench ScienceVals AI40.0%†55.7%†
Time Horizon Index: KSPVals AI63.3%†–
Arena SearchArena (LMArena)1229†–
Vending-Bench 2Andon Labs5421.6†–
AutomationBenchArtificial Analysis59.4%76.4%
GDP.pdf (AA)Artificial Analysis26.2%24.2%
Harvey LAB-AA v1.1Harvey6.4%7.2%
AA-Briefcase v1.1Artificial Analysis16691785
GDPxGDPx by SemiAnalysis8.5%–
Design Arena AgenticDesign Arena1332†–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis43.3%73.3%
CWE-Bench (AA)Artificial Analysis50.8%–
DeepSec-Bench (AA)Artificial Analysis23.5%–
CyberGym end-to-end (AA)Artificial Analysis0.8%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub90.2%–
FrontierMath Tier 4Epoch AI Benchmarking Hub87.8%–
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%–
ProofBenchVals AI100.0%–
LiveBench MathematicsLiveBench97.0%–
Arena MathsArena (LMArena)1525–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub70.8%–
LiveBench 2.0 Data AnalysisLiveBench80.3%†81.5%†
LiveBench ResearchLiveBench88.5%†94.5%†
LiveBench 1.0 Data AnalysisLiveBench80.3%–
AA-Omniscience v1.1Artificial Analysis46.366.8
MMLU-ProVals AI92.4%†–
LegalBenchVals AI88.5%†–
TaxEvalVals AI76.0%†–
PRBench FinanceScale AI SEAL50.8%†–
PRBench LegalScale AI SEAL51.6%†–
BioMysteryBenchVals AI–83.7%†
Excel Modeling BenchmarkVals AI76.7%†–
Excel Modeling Benchmark v1.1Vals AI76.7%†77.4%†
MedCodeVals AI53.5%†–
MedScribeVals AI91.3%†–
Public Benefits Bench v1.1Vals AI74.9%†–
EBR-benchEpoch AI Benchmarking Hub57.1%–
GDP.pdfEpoch AI Benchmarking Hub27.6%–
AA-Omniscience v1.1: accuracyArtificial Analysis68.4%79.1%
AA-Omniscience v1.1: non-hallucinationArtificial Analysis30.0%40.7%
HealthBench Professional (AA)OpenAI57.8%67.7%
Instruction following
LiveBench LanguageLiveBench89.5%–
LiveBench Instruction FollowingLiveBench73.0%–
Arena Instruction FollowingArena (LMArena)1501–
Human preference
Arena TextArena (LMArena)1503–
Arena Creative WritingArena (LMArena)1490–
Arena Multi-turnArena (LMArena)1487–
Arena Longer QueriesArena (LMArena)1510–
Multimodal
Arena VisionArena (LMArena)1322–
LiveBench DesignLiveBench81.6%†85.1%†
MMMU-Pro (Vals)Vals AI90.6%†–
MortgageTaxVals AI70.8%†–
Blueprint-Bench 2Epoch AI Benchmarking Hub41.9%†–
Code2Video-AAArtificial Analysis1325–
AA-3DArtificial Analysis11391271
Long context
AA-LCR v1.1Artificial Analysis85.3%83.3%
Arena DocumentArena (LMArena)1498–
MLCRArtificial Analysis15.6%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub166.9†–
LiveBench 2.0LiveBench84.0%†84.9%†
LiveBench 1.0LiveBench83.4%–
AA Intelligence Index v5.0Artificial Analysis49.264.6
AA Intelligence Index v4.3.2Artificial Analysis53.4–
AA Progress Index v1Artificial Analysis340.8–
Vals IndexVals AI–71.3†
Vals Finance IndexVals AI–63.6%†
Vals RSI IndexVals AI36.1%–
Vals Science IndexVals AI–63.7%†
AA Cyber IndexArtificial Analysis25.0–
Safety & honesty
FORTRESSScale AI SEAL13.7%†–

Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.

DuelLab GameBench 2, release gb2-20261103-eaea31df94e6 (https://benchmarks.duellab.org/releases/gb2-20261103-eaea31df94e6/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.

What changed

  • Claude Fable 5.1 (max): 1 score revision.
  • Claude Fable 5.1 (max): 1 score revision.
  • Claude Fable 5.1 (max): 1 score revision.
  • Claude Fable 5.1 (max): 1 score revision.
  • Claude Fable 5.1 (max): 1 new result (MirrorCode).
  • Claude Fable 5.1 (max): 1 score revision.
  • Claude Fable 5.1 (max): BenchLeader Index 67.9 → 67.1.
  • Claude Fable 5.1 (max): 5 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 3 score revisions; cost per task moved from $7.63/M to $13.04/M (71% up).
  • Claude Fable 5.1 (max): 2 new results (Robo-bench, Vals RSI Index).
  • Claude Fable 5.1 (max): 1 score revision.

Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs

Claude Fable 5.1 vs Claude Fable 5.2: questions

Is Claude Fable 5.1 better than Claude Fable 5.2?
Claude Fable 5.1 (max) and Claude Fable 5.2 (max) are neck and neck on quality (66.9 vs 69.4, within the ±7.0 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.
Claude Fable 5.1 vs Claude Fable 5.2: which is cheaper, and will that change?
Claude Fable 5.2 is cheaper today: $16.00 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is Claude Fable 5.1 or Claude Fable 5.2 better for coding?
Claude Fable 5.2 scores higher in coding (80 vs 71 on the category index, where 50 is average). On FrontierCode 2.0 (AA), the top shared coding benchmark, it is 31.6% for Claude Fable 5.1 against 48.8% for Claude Fable 5.2.
Which is faster, Claude Fable 5.1 or Claude Fable 5.2?
Claude Fable 5.1 streams faster (87 vs 72 output tokens per second, Artificial Analysis 7-day median).
Which is better for long documents?
Claude Fable 5.1 scores higher on long-context benchmarks (68 vs 66). Both accept 1,000,000 tokens of context.
More questions (3)
Which has lower latency?
Claude Fable 5.2 answers first: 3.0 s against 171.7 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
Do independent benchmarks agree on Claude Fable 5.1 vs Claude Fable 5.2?
Across the 21 benchmarks both have, Claude Fable 5.1 leads 2, Claude Fable 5.2 leads 18 and 1 is a tie. Every overall index that rates both puts Claude Fable 5.2 ahead.
When was Claude Fable 5.2 released?
Claude Fable 5.2 was released on 9 Nov 2026.