BenchLeader

Claude Fable 5.1 vs GPT-5.6 Sol

Full profiles: Claude Fable 5.1 (Anthropic) and GPT-5.6 Sol (OpenAI): every benchmark, price and rank.

Updated · Data from 10 sources

As of 24 Oct 2026, Claude Fable 5.1 (max) and GPT-5.6 Sol (max) are neck and neck on quality (70.5 vs 68.0 on the BenchLeader Index, inside the ±6.1 margin of error), and GPT-5.6 Sol (max) costs 2.5× less, which makes it the better buy for most workloads. Pick Claude Fable 5.1 for knowledge (78 vs 65); pick GPT-5.6 Sol for agents & tools (67 vs 60).

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 5.175 vs 66 category score; SciCode 63.1% vs 57.1%High
Agents & tool useGPT-5.6 Sol67 vs 60 category score; Terminal-Bench 37.3% vs 57.9%Medium
MathsClaude Fable 5.173 vs 71 category score; FrontierMath Tiers 1–3 90.2% vs 89.1%Medium
ReasoningClaude Fable 5.177 vs 72 category score; ARC-AGI-1 97.5% vs 96.5%Medium
KnowledgeClaude Fable 5.178 vs 65 category score; SimpleQA Verified 70.8% vs 69.7%High
Long documentsEither68 vs 67 category score; AA-LCR 85.3% vs 84.0%Either
Images and other mediaEither67 vs 67 category scoreEither
Chat quality (human preference)–Only Claude Fable 5.1 has an Arena rating (70 category score)Not comparable
Lowest costGPT-5.6 Sol$8.00 vs $20.00 per 1M blended; agentic coding session $0.320 vs $0.800–
Fastest first answerGPT-5.6 Sol69.5 s (GPT-5.6 Sol (max)) vs 163.2 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 GPT-5.6 Sol (max) are neck and neck on quality (70.5 vs 68.0, within the ±6.1 margin).
  • Claude Fable 5.1 (max) is stronger in coding, composite, human preference, knowledge, long context, maths, multimodal, reasoning.
  • GPT-5.6 Sol (max) is stronger in agents & tools, instruction following.
  • GPT-5.6 Sol (max) is 2.5× cheaper ($8.00 vs $20.00 per 1M blended).

At a glance

SpecClaude Fable 5.1GPT-5.6 Sol
DeveloperAnthropicOpenAI
Released1 Sept 20269 Jul 2026
Context window (tokens)1,000,0001,050,000
Compared atClaude Fable 5.1 (max)GPT-5.6 Sol (max)
Open weightsNoNo
Price in / out / cached input per 1M$10.00 / $50.00 / $0.250$4.00 / $20.00 / $0.400

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)GPT-5.6 Sol (max)Leader
Reasoning76.872.4Claude Fable 5.1
Coding75.065.9Claude Fable 5.1
Agents & tools60.266.5GPT-5.6 Sol
Maths72.971.0Claude Fable 5.1
Knowledge77.565.3Claude Fable 5.1
Instruction following–71.1not comparable
Human preference70.0–not comparable
Multimodal67.166.5level
Long context67.867.1level
Composite89.282.0Claude Fable 5.1

Where sources disagree

Across the 42 benchmarks both have, Claude Fable 5.1 leads 31, GPT-5.6 Sol leads 9 and 2 are tied. Every overall index that rates both puts Claude Fable 5.1 ahead.

Overall indexClaude Fable 5.1 (max)GPT-5.6 Sol (max)Leader
BenchLeader Index70.568.0neck and neck
AA Intelligence Index v4.3.253.447.0Claude Fable 5.1
Arena Text15031485†Claude Fable 5.1

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; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureClaude Fable 5.1 (max)GPT-5.6 Sol (max)
Blended price per 1M tokens$20.00$8.00
Input / output per 1M$10.00 / $50.00$4.00 / $20.00
Cached input per 1M$0.250$0.400
Price per task: chat reply$0.019$0.0076
Price per task: summarize a 30-page report$0.150$0.060
Price per task: code edit$0.135$0.054
Price per task: agentic coding session$0.800$0.320
Price per task: structured extraction$0.030$0.012
Cost to run a full benchmark suite$7.63$1.99
Output speed68 tok/s86 tok/s
Time to first answer163.2 s69.5 s
Time to a complete answer170.6 s75.3 s

Per token is not per task: on Artificial Analysis' full suite Claude Fable 5.1 (max) cost $7.63 and GPT-5.6 Sol (max) $1.99, because Claude Fable 5.1 (max) used about 1.5× as many 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 70.5 and takes 163 s to its first answer token; Claude Fable 5.1 (xhigh) scores 69.5 in 54 s, Claude Fable 5.1 (high) scores 69.4 in 19 s. GPT-5.6 Sol (max) scores 68.0 and takes 69 s to its first answer token; GPT-5.6 Sol (xhigh) scores 66.6 in 20 s, GPT-5.6 Sol (high) scores 66.3 in 6 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

154 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)GPT-5.6 Sol (max)
BenchLeader IndexBenchLeader70.568.0
Agents & tools scoreBenchLeader60.266.5
Coding scoreBenchLeader75.065.9
Composite scoreBenchLeader89.282.0
Human preference scoreBenchLeader70.0–
Knowledge scoreBenchLeader77.565.3
Long context scoreBenchLeader67.867.1
Maths scoreBenchLeader72.971.0
Multimodal scoreBenchLeader67.166.5
Reasoning scoreBenchLeader76.872.4
Instruction following scoreBenchLeader–71.1
Blended price $/MBenchLeader$20.00$8.00
Output speedBenchLeader68 tok/s86 tok/s
Time to first answerBenchLeader163.2 s69.5 s
Context windowBenchLeader1,000,000 tokens1,050,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub–93.5%
Humanity's Last ExamScale AI / CAIS46.5%†–
SimpleBenchSimpleBench–64.8%†
Arena Hard PromptsArena (LMArena)15231512†
LiveBench 2.0 ReasoningLiveBench91.7%†91.7%†
LiveBench 1.0 ReasoningLiveBench91.7%91.7%
GPQA Diamond (AA)Artificial Analysis93.7%94.1%
Humanity's Last Exam (AA)Artificial Analysis59.1%49.5%
GPQA Diamond (Vals)Vals AI93.4%†95.2%
EnigmaEvalScale AI SEAL–37.1%†
Kagi LLM BenchmarkKagi LLM Benchmark–67.0%†
ARC-AGI-1ARC Prize97.5%96.5%
ARC-AGI-2ARC Prize90.0%92.5%
ARC-AGI-3ARC Prize–7.8%
CritPtArtificial Analysis29.7%32.3%
MysteryMechanismVals AI47.8%†33.3%
Chess PuzzlesEpoch AI Benchmarking Hub48.0%59.0%
Mystery Game PuzzlesEpoch AI Benchmarking Hub58.0%58.0%
LMCAEpoch AI Benchmarking Hub65.5%†58.4%
DTBenchEpoch AI Benchmarking Hub97.6%†95.5%
ForecastBenchForecastBench–65.5%
BTF-3Epoch AI Benchmarking Hub–13.7%
Coding
SciCodeSciCode63.1%57.1%
WeirdMLWeirdML92.9%87.0%
FrontierCodeCognition50.9%†47.5%†
Show all 154 benchmarks
MetricPublisherClaude Fable 5.1 (max)GPT-5.6 Sol (max)
Coding
GSO-BenchGSO-Bench88.2%†76.5%†
Arena CodingArena (LMArena)15381534†
Arena WebDevArena (LMArena)17431615†
LiveBench 2.0 CodingLiveBench97.7%†89.7%†
LiveBench 1.0 CodingLiveBench86.4%83.9%
LiveCodeBenchVals AI90.5%†82.6%
IOIVals AI90.8%†91.2%
SWE-bench (Vals)Vals AI–96.2%
Code MigrationVals AI54.6%†52.9%
ProgramBenchVals AI7.0%†1.5%
SWE-bench MultimodalVals AI61.3%†–
Vibe Code Bench 1-100Vals AI28.0%†20.0%
Vibe Code Bench v1.1Vals AI90.3%†80.5%
SWE Atlas: Codebase QnAScale AI SEAL60.0%†46.0%†
SWE Atlas: RefactoringScale AI SEAL56.7%†–
SWE Atlas: Test WritingScale AI SEAL67.0%†45.9%†
MirrorCodeEpoch AI Benchmarking Hub73.3%†20.0%†
Surface Evolver BenchEpoch AI Benchmarking Hub–93.1%†
DeepSWE v1.1Epoch AI Benchmarking Hub–72.7%
CursorBenchCursor51.8%41.7%
ALE-BenchEpoch AI Benchmarking Hub2143.2†2176.9
FrontierSWEEpoch AI Benchmarking Hub56.3%32.2%
Terminal-Bench 4.0 (AA)Artificial Analysis52.0%39.9%
Terminal-Bench 2.1 (AA)Artificial Analysis91.4%88.0%
Startrise FrontendStartrise77.1%†66.2%†
FrontierCode 1.1 (AA)Artificial Analysis49.0%–
Agents & tools
Terminal-BenchTerminal-Bench57.9%37.3%
OSWorld-Verified 2.0OSWorld–27.3%
Remote Labor IndexScale AI / CAIS17.9%†–
APEX-AgentsMercor68.6%†–
Arena AgentArena (LMArena)14.26.6†
LiveBench Long AgenticLiveBench80.8%†48.5%†
LiveBench BrowserLiveBench100.0%†88.0%†
LiveBench Agentic CodingLiveBench66.1%56.2%
Terminal-Bench HardArtificial Analysis–65.9%
τ²-Bench Telecom (AA)Artificial Analysis–85.1%
Terminal-Bench 2.1 (Vals)Vals AI85.0%†85.8%
MCP AtlasScale AI SEAL87.2%†–
HiL-BenchScale AI SEAL61.5%†32.3%†
τ³-bench Bankingτ²-bench–46.9%†
GDPval-AA v2.1Artificial Analysis62.7%–
τ³-Banking (AA)Artificial Analysis47.2%44.3%
ITBench SRE (AA)Artificial Analysis49.5%56.2%
Analyst Agent (AA)Artificial Analysis57.5%47.5%
CUA-benchVals AI13.2%8.3%
CyberBenchVals AI70.4%†76.3%
Finance Agent v2Vals AI58.9%†53.8%
Harvey's Legal Agent Benchmark v1Vals AI6.7%†2.5%
Legal Research BenchVals AI55.3%†48.1%
Robo-benchVals AI5.8%–
SkillsBenchVals AI61.5%†54.1%
SREBenchVals AI22.9%†30.5%
Tax Agent BenchVals AI49.2%†31.1%
Terminal-Bench 4.0 (Vals)Vals AI58.1%†37.9%
Terminal-Bench ScienceVals AI40.0%†20.0%
Time Horizon Index: KSPVals AI63.3%†23.8%
Web Search IndexVals AI–43.6%
Arena SearchArena (LMArena)1233†1258†
BALROGBALROG–60.0%
PostTrainBenchEpoch AI Benchmarking Hub–36.2%
GBAEvalEpoch AI Benchmarking Hub–52.6%†
Vending-Bench 2Andon Labs5421.6†9619.4†
AutomationBenchArtificial Analysis59.4%60.1%
GDP.pdf (AA)Artificial Analysis26.2%27.2%
Harvey LAB-AA v1.1Harvey6.4%–
EnterpriseOps-GymArtificial Analysis–42.9%
AA-Briefcase v1.1Artificial Analysis1671–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis43.3%22.4%
CWE-Bench (AA)Artificial Analysis50.8%–
DeepSec-Bench (AA)Artificial Analysis23.5%–
CyberGym end-to-end (AA)Artificial Analysis0.8%–
FACTS SearchGoogle–88.5%†
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub90.2%89.1%
FrontierMath Tier 4Epoch AI Benchmarking Hub87.8%82.9%
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%100.0%
ProofBenchVals AI100.0%83.0%
LiveBench MathematicsLiveBench97.0%96.2%
Arena MathsArena (LMArena)15291496†
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub70.8%69.7%
LiveBench 2.0 Data AnalysisLiveBench80.3%†79.8%†
LiveBench ResearchLiveBench82.0%†54.5%†
LiveBench 1.0 Data AnalysisLiveBench80.3%79.8%
AA-OmniscienceArtificial Analysis43.522.0
MMLU-ProVals AI92.4%†89.1%
LegalBenchVals AI88.5%†87.0%
CorpFinVals AI–64.4%
TaxEvalVals AI76.0%†74.8%
PRBench FinanceScale AI SEAL50.8%†50.5%
PRBench LegalScale AI SEAL51.6%†50.5%
BioMysteryBenchVals AI–71.1%
Excel Modeling BenchmarkVals AI76.7%†72.3%
Excel Modeling Benchmark v1.1Vals AI76.7%†–
MedCodeVals AI53.5%†44.0%
MedScribeVals AI91.3%†85.2%
Public Benefits Bench v1.1Vals AI74.9%†66.5%
DrugDiscoveryBenchScale AI SEAL–56.5%
EBR-benchEpoch AI Benchmarking Hub57.1%44.8%
GDP.pdfEpoch AI Benchmarking Hub27.6%30.7%
AA-Omniscience: accuracyArtificial Analysis67.2%59.4%
AA-Omniscience: non-hallucinationArtificial Analysis27.4%7.8%
Instruction following
LiveBench LanguageLiveBench89.5%87.7%
LiveBench Instruction FollowingLiveBench73.0%71.8%
IFBenchArtificial Analysis–72.7%
Arena Instruction FollowingArena (LMArena)15011491†
Human preference
Arena TextArena (LMArena)15031485†
EQ-Bench 4EQ-Bench–1250†
Arena Creative WritingArena (LMArena)14871470†
Arena Multi-turnArena (LMArena)14881490†
Arena Longer QueriesArena (LMArena)15111499†
Multimodal
Arena VisionArena (LMArena)13201281†
LiveBench DesignLiveBench83.4%†81.6%†
MMMU-ProArtificial Analysis–83.4%
MMMU-Pro (Vals)Vals AI90.6%†88.8%
MortgageTaxVals AI70.8%†67.3%
SAGEVals AI48.5%†52.6%
Blueprint-Bench 2Epoch AI Benchmarking Hub41.9%†33.6%†
AA-3DArtificial Analysis1133–
Long context
AA-LCRArtificial Analysis85.3%84.0%
Arena DocumentArena (LMArena)14931489†
MLCRArtificial Analysis15.6%30.0%
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub166.5†162.8†
LiveBench 2.0LiveBench88.0%†76.3%†
LiveBench 1.0LiveBench83.4%81.0%
AA Intelligence Index v4.3.2Artificial Analysis53.447.0
Vals RSI IndexVals AI36.1%23.9%
Vals Science IndexVals AI–41.5%
Vals Multimodal IndexVals AI–72.6%
AA Cyber IndexArtificial Analysis25.0–
Safety & honesty
FORTRESSScale AI SEAL13.7%†20.1%†

Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Claude Fable 5.1 (max): 2 new results (Robo-bench, Vals RSI Index).
  • GPT-5.6 Sol (max): 3 new results (Harvey's Legal Agent Benchmark v1, Vals RSI Index, Vals Science Index).
  • Claude Fable 5.1 (max): 1 score revision.
  • GPT-5.6 Sol (max): 1 score revision.
  • Claude Fable 5.1 (max): 1 score revision.
  • GPT-5.6 Sol (max): 1 new result (ForecastBench).
  • Claude Fable 5.1 (max): BenchLeader Index 70.0 → 70.6.
  • GPT-5.6 Sol (max): 5 new results (AutomationBench, GDP.pdf (AA), MLCR…).
  • GPT-5.6 Sol (max): 1 score revision.
  • Claude Fable 5.1 (max): 2 score revisions.

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

Claude Fable 5.1 vs GPT-5.6 Sol: questions

Is Claude Fable 5.1 better than GPT-5.6 Sol?
Claude Fable 5.1 (max) and GPT-5.6 Sol (max) are neck and neck on quality (70.5 vs 68.0, within the ±6.1 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-24, so check the category scores for your use.
Which is cheaper, Claude Fable 5.1 or GPT-5.6 Sol, and will that change?
GPT-5.6 Sol is cheaper today: $8.00 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 better than GPT-5.6 Sol for coding?
Claude Fable 5.1 scores higher in coding (75 vs 66 on the category index, where 50 is average). On SciCode, the top shared coding benchmark, it is 63.1% for Claude Fable 5.1 against 57.1% for GPT-5.6 Sol.
Is Claude Fable 5.1 better than GPT-5.6 Sol for agents and tool use?
GPT-5.6 Sol scores higher in agentic tasks (67 vs 60 on the category index, where 50 is average). On Terminal-Bench, the top shared agents & tools benchmark, it is 57.9% for Claude Fable 5.1 against 37.3% for GPT-5.6 Sol.
Which is better for long documents?
They are level on long-context benchmarks (68 vs 67). Both take about 1.1M tokens: Claude Fable 5.1 1,000,000, GPT-5.6 Sol 1,050,000.
Which has lower latency?
GPT-5.6 Sol (max) answers first: 69.5 s against 163.2 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.
Which is faster, Claude Fable 5.1 or GPT-5.6 Sol?
GPT-5.6 Sol streams faster: 86 against 68 output tokens per second.
Do independent benchmarks agree on Claude Fable 5.1 vs GPT-5.6 Sol?
Across the 42 benchmarks both have, Claude Fable 5.1 leads 31, GPT-5.6 Sol leads 9 and 2 are tied. Every overall index that rates both puts Claude Fable 5.1 ahead.
When was Claude Fable 5.1 released?
Claude Fable 5.1 was released on 1 Sept 2026.