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Claude Fable 5 vs GPT-5.6 Sol

Full profiles: Claude Fable 5 (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 (max) and GPT-5.6 Sol (max) are neck and neck on quality (69.3 vs 68.0 on the BenchLeader Index, inside the ±5.7 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 for knowledge (81 vs 65); pick GPT-5.6 Sol for instruction following (71 vs 63).

Claude Fable 5 benchmarks max Anthropic GPT-5.6 Sol benchmarks max OpenAIOpen in the comparison tool

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 574 vs 66 category score; SciCode 61.0% vs 57.1%High
Agents & tool useGPT-5.6 Sol67 vs 65 category score; τ³-Banking (AA) 44.3% vs 38.1%Medium
MathsClaude Fable 572 vs 71 category score; FrontierMath Tier 4 90.2% vs 82.9%Medium
ReasoningClaude Fable 574 vs 72 category score; ARC-AGI-1 98.5% vs 96.5%Medium
KnowledgeClaude Fable 581 vs 65 category score; AA-Omniscience 43.3 vs 22.0High
Long documentsEither66 vs 67 category score; AA-LCR 82.3% vs 84.0%Either
Following instructionsGPT-5.6 Sol71 vs 63 category score; IFBench 72.7% vs 63.5%High
Lowest costGPT-5.6 Sol$8.00 vs $20.00 per 1M blended; agentic coding session $0.320 vs $0.800–
Fastest first answerEither59.8 s (Claude Fable 5 (max)) vs 69.5 s (GPT-5.6 Sol (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 (max) and GPT-5.6 Sol (max) are neck and neck on quality (69.3 vs 68.0, within the ±5.7 margin).
  • Claude Fable 5 (max) is stronger in coding, composite, knowledge, maths, reasoning.
  • GPT-5.6 Sol (max) is stronger in agents & tools, instruction following, long context, multimodal.
  • GPT-5.6 Sol (max) is 2.5× cheaper ($8.00 vs $20.00 per 1M blended).

At a glance

SpecClaude Fable 5GPT-5.6 Sol
DeveloperAnthropicOpenAI
Released9 Jun 20269 Jul 2026
Context window (tokens)1,000,0001,050,000
Compared atClaude Fable 5 (max)GPT-5.6 Sol (max)
Open weightsNoNo
Price in / out / cached input per 1M$10.00 / $50.00 / $1.00$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 (max)GPT-5.6 Sol (max)Leader
Reasoning73.872.4Claude Fable 5
Coding73.865.9Claude Fable 5
Agents & tools65.066.5GPT-5.6 Sol
Maths72.471.0Claude Fable 5
Knowledge81.065.3Claude Fable 5
Instruction following63.171.1GPT-5.6 Sol
Multimodal–66.5not comparable
Long context66.367.1level
Composite85.082.0Claude Fable 5

Where sources disagree

Across the 47 benchmarks both have, Claude Fable 5 leads 26, GPT-5.6 Sol leads 21. Every overall index that rates both puts Claude Fable 5 ahead.

Overall indexClaude Fable 5 (max)GPT-5.6 Sol (max)Leader
BenchLeader Index69.368.0neck and neck
AA Intelligence Index v4.3.249.647.0Claude Fable 5
Arena Text1503†1485Claude Fable 5

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 (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$1.00$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$8.75$1.99
Output speed70 tok/s86 tok/s
Time to first answer59.8 s69.5 s
Time to a complete answer67.0 s75.3 s

Per token is not per task: on Artificial Analysis' full suite Claude Fable 5 (max) cost $8.75 and GPT-5.6 Sol (max) $1.99, because Claude Fable 5 (max) used about 1.8× 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 (max) scores 69.3 and takes 60 s to its first answer token; Claude Fable 5 scores 67.1 in 4 s, Claude Fable 5 (high) scores 64.6 in 4 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

142 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 (max)GPT-5.6 Sol (max)
BenchLeader IndexBenchLeader69.368.0
Agents & tools scoreBenchLeader65.066.5
Coding scoreBenchLeader73.865.9
Composite scoreBenchLeader85.082.0
Instruction following scoreBenchLeader63.171.1
Knowledge scoreBenchLeader81.065.3
Long context scoreBenchLeader66.367.1
Maths scoreBenchLeader72.471.0
Reasoning scoreBenchLeader73.872.4
Multimodal scoreBenchLeader–66.5
Blended price $/MBenchLeader$20.00$8.00
Output speedBenchLeader70 tok/s86 tok/s
Time to first answerBenchLeader59.8 s69.5 s
Context windowBenchLeader1,000,000 tokens1,050,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub85.9%93.5%
SimpleBenchSimpleBench81.9%64.8%†
Arena Hard PromptsArena (LMArena)1529†1512†
LiveBench 2.0 ReasoningLiveBench89.7%†91.7%†
LiveBench 1.0 ReasoningLiveBench89.7%91.7%
GPQA Diamond (AA)Artificial Analysis92.6%94.1%
Humanity's Last Exam (AA)Artificial Analysis55.5%49.5%
GPQA Diamond (Vals)Vals AI93.2%†95.2%
EnigmaEvalScale AI SEAL39.3%†37.1%†
Kagi LLM BenchmarkKagi LLM Benchmark88.8%†67.0%†
ARC-AGI-1ARC Prize98.5%96.5%
ARC-AGI-2ARC Prize89.2%92.5%
ARC-AGI-3ARC Prize–7.8%
CritPtArtificial Analysis28.6%32.3%
MysteryMechanismVals AI–33.3%
Chess PuzzlesEpoch AI Benchmarking Hub47.0%59.0%
Mystery Game PuzzlesEpoch AI Benchmarking Hub52.0%58.0%
LMCAEpoch AI Benchmarking Hub60.3%58.4%
DTBenchEpoch AI Benchmarking Hub98.4%95.5%
ForecastBenchForecastBench66.0%65.5%
BTF-3Epoch AI Benchmarking Hub13.0%†13.7%
Coding
SciCodeSciCode61.0%57.1%
WeirdMLWeirdML91.9%87.0%
FrontierCodeCognition53.5%†47.5%†
GSO-BenchGSO-Bench78.4%†76.5%†
Show all 142 benchmarks
MetricPublisherClaude Fable 5 (max)GPT-5.6 Sol (max)
Coding
Arena CodingArena (LMArena)1551†1534†
Arena WebDevArena (LMArena)1624†1615†
LiveBench 2.0 CodingLiveBench98.3%†89.7%†
LiveBench 1.0 CodingLiveBench86.0%83.9%
LiveCodeBenchVals AI89.8%†82.6%
IOIVals AI–91.2%
SWE-bench (Vals)Vals AI95.0%†96.2%
Code MigrationVals AI55.1%†52.9%
ProgramBenchVals AI2.0%†1.5%
Vibe Code Bench 1-100Vals AI–20.0%
Vibe Code Bench v1.1Vals AI90.3%†80.5%
SWE Atlas: Codebase QnAScale AI SEAL39.0%†46.0%†
SWE Atlas: RefactoringScale AI SEAL54.8%†–
SWE Atlas: Test WritingScale AI SEAL55.6%†45.9%†
MirrorCodeEpoch AI Benchmarking Hub63.9%†20.0%†
Surface Evolver BenchEpoch AI Benchmarking Hub95.0%†93.1%†
DeepSWE v1.1Epoch AI Benchmarking Hub69.7%72.7%
CursorBenchCursor–41.7%
ALE-BenchEpoch AI Benchmarking Hub2041.3†2176.9
FrontierSWEEpoch AI Benchmarking Hub47.0%32.2%
Terminal-Bench 4.0 (AA)Artificial Analysis42.4%39.9%
Terminal-Bench 2.1 (AA)Artificial Analysis84.6%88.0%
Startrise FrontendStartrise73.8%†66.2%†
Agents & tools
Terminal-BenchTerminal-Bench44.5%37.3%
OSWorld-Verified 2.0OSWorld–27.3%
Remote Labor IndexScale AI / CAIS15.8%†–
APEX-AgentsMercor63.6%†–
Arena AgentArena (LMArena)8.3†6.6†
LiveBench Long AgenticLiveBench53.2%†48.5%†
LiveBench BrowserLiveBench92.0%†88.0%†
LiveBench Agentic CodingLiveBench62.2%56.2%
Terminal-Bench HardArtificial Analysis62.9%65.9%
τ²-Bench Telecom (AA)Artificial Analysis98.5%85.1%
Terminal-Bench 2.1 (Vals)Vals AI80.5%†85.8%
MCP AtlasScale AI SEAL83.3%†–
HiL-BenchScale AI SEAL56.3%†32.3%†
τ³-bench Bankingτ²-bench39.7%46.9%†
τ³-Banking (AA)Artificial Analysis38.1%44.3%
ITBench SRE (AA)Artificial Analysis–56.2%
Analyst Agent (AA)Artificial Analysis48.8%47.5%
CUA-benchVals AI–8.3%
CyberBenchVals AI–76.3%
Finance Agent v2Vals AI56.3%†53.8%
Harvey's Legal Agent Benchmark v1Vals AI11.3%†2.5%
Legal Research BenchVals AI49.5%†48.1%
SkillsBenchVals AI–54.1%
SREBenchVals AI–30.5%
Tax Agent BenchVals AI38.3%†31.1%
Terminal-Bench 4.0 (Vals)Vals AI41.4%†37.9%
Terminal-Bench ScienceVals AI15.7%†20.0%
Time Horizon Index: KSPVals AI–23.8%
Web Search IndexVals AI46.9%†43.6%
Arena SearchArena (LMArena)1229†1258†
BALROGBALROG–60.0%
PostTrainBenchEpoch AI Benchmarking Hub41.8%36.2%
GBAEvalEpoch AI Benchmarking Hub74.5%†52.6%†
Vending-Bench 2Andon Labs4966.69619.4†
AutomationBenchArtificial Analysis54.1%60.1%
GDP.pdf (AA)Artificial Analysis24.0%27.2%
EnterpriseOps-GymArtificial Analysis51.1%42.9%
AA-Briefcase v1.1Artificial Analysis1537–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis–22.4%
FACTS SearchGoogle–88.5%†
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub87.0%89.1%
FrontierMath Tier 4Epoch AI Benchmarking Hub90.2%82.9%
OTIS Mock AIMEEpoch AI Benchmarking Hub99.7%100.0%
ProofBenchVals AI95.0%83.0%
LiveBench MathematicsLiveBench96.0%96.2%
Arena MathsArena (LMArena)1521†1496†
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub70.7%†69.7%
LiveBench 2.0 Data AnalysisLiveBench80.5%†79.8%†
LiveBench ResearchLiveBench86.9%†54.5%†
LiveBench 1.0 Data AnalysisLiveBench80.5%79.8%
AA-OmniscienceArtificial Analysis43.322.0
MMLU-ProVals AI91.5%†89.1%
LegalBenchVals AI88.6%†87.0%
CorpFinVals AI71.8%†64.4%
TaxEvalVals AI76.9%†74.8%
PRBench FinanceScale AI SEAL53.9%†50.5%
PRBench LegalScale AI SEAL52.6%†50.5%
BioMysteryBenchVals AI–71.1%
Excel Modeling BenchmarkVals AI73.7%†72.3%
MedCodeVals AI56.1%†44.0%
MedScribeVals AI88.5%†85.2%
Public Benefits Bench v1.1Vals AI70.4%†66.5%
DrugDiscoveryBenchScale AI SEAL–56.5%
EBR-benchEpoch AI Benchmarking Hub39.5%44.8%
GDP.pdfEpoch AI Benchmarking Hub29.8%30.7%
AA-Omniscience: accuracyArtificial Analysis65.3%59.4%
AA-Omniscience: non-hallucinationArtificial Analysis36.4%7.8%
Instruction following
LiveBench LanguageLiveBench90.7%87.7%
LiveBench Instruction FollowingLiveBench75.8%71.8%
IFBenchArtificial Analysis63.5%72.7%
Arena Instruction FollowingArena (LMArena)1508†1491†
Human preference
Arena TextArena (LMArena)1503†1485†
EQ-Bench 4EQ-Bench1340†1250†
Arena Creative WritingArena (LMArena)1501†1470†
Arena Multi-turnArena (LMArena)1517†1490†
Arena Longer QueriesArena (LMArena)1522†1499†
Multimodal
Arena VisionArena (LMArena)1325†1281†
LiveBench DesignLiveBench84.7%†81.6%†
MMMU-ProArtificial Analysis–83.4%
MMMU-Pro (Vals)Vals AI89.3%†88.8%
MortgageTaxVals AI68.9%†67.3%
SAGEVals AI51.9%†52.6%
Blueprint-Bench 2Epoch AI Benchmarking Hub38.6%†33.6%†
Long context
AA-LCRArtificial Analysis82.3%84.0%
Arena DocumentArena (LMArena)1499†1489†
MLCRArtificial Analysis20.6%30.0%
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub163.4†162.8†
LiveBench 2.0LiveBench83.6%†76.3%†
LiveBench 1.0LiveBench83.0%81.0%
AA Intelligence Index v4.3.2Artificial Analysis49.647.0
Vals RSI IndexVals AI24.3%23.9%
Vals Science IndexVals AI–41.5%
Vals Multimodal IndexVals AI74.2%†72.6%
Safety & honesty
FORTRESSScale AI SEAL–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 (max): 1 new result (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 (max): 1 score revision.
  • GPT-5.6 Sol (max): 1 score revision.
  • Claude Fable 5 (max): 1 new result (ForecastBench).
  • GPT-5.6 Sol (max): 1 new result (ForecastBench).
  • Claude Fable 5 (max): 4 new results (GDPval-AA v2.1, AA-Omniscience: accuracy, AA-Omniscience: non-hallucination…).
  • GPT-5.6 Sol (max): 5 new results (AutomationBench, GDP.pdf (AA), MLCR…).
  • GPT-5.6 Sol (max): 1 score revision.
  • Claude Fable 5 (max): 1 score revision.

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

Claude Fable 5 vs GPT-5.6 Sol: questions

Is Claude Fable 5 better than GPT-5.6 Sol?
Claude Fable 5 (max) and GPT-5.6 Sol (max) are neck and neck on quality (69.3 vs 68.0, within the ±5.7 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 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 better than GPT-5.6 Sol for coding?
Claude Fable 5 scores higher in coding (74 vs 66 on the category index, where 50 is average). On SciCode, the top shared coding benchmark, it is 61.0% for Claude Fable 5 against 57.1% for GPT-5.6 Sol.
Is Claude Fable 5 better than GPT-5.6 Sol for agents and tool use?
GPT-5.6 Sol scores higher in agentic tasks (67 vs 65 on the category index, where 50 is average). On Terminal-Bench, the top shared agents & tools benchmark, it is 44.5% for Claude Fable 5 against 37.3% for GPT-5.6 Sol.
Which is better for long documents?
They are level on long-context benchmarks (66 vs 67). Both take about 1.1M tokens: Claude Fable 5 1,000,000, GPT-5.6 Sol 1,050,000.
Which has lower latency?
Claude Fable 5 (max) answers first: 59.8 s against 69.5 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 or GPT-5.6 Sol?
GPT-5.6 Sol streams faster: 86 against 70 output tokens per second.
Do independent benchmarks agree on Claude Fable 5 vs GPT-5.6 Sol?
Across the 47 benchmarks both have, Claude Fable 5 leads 26, GPT-5.6 Sol leads 21. Every overall index that rates both puts Claude Fable 5 ahead.
When was GPT-5.6 Sol released?
GPT-5.6 Sol was released on 9 Jul 2026.