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Claude Fable 5.2 vs GPT-5 Pro

Full profiles: Claude Fable 5.2 (Anthropic) and GPT-5 Pro (OpenAI): every benchmark, price and rank.

Updated · Data from 8 sources

As of 9 Nov 2026, Claude Fable 5.2 is ahead of GPT-5 Pro on quality (69.4 vs 60.0 on the BenchLeader Index), and Claude Fable 5.2 is 2.6× cheaper at $16.00 vs $41.25 per 1M tokens blended. Claude Fable 5.2 leads in every category we measure both in.

Key facts (as of 9 Nov 2026)

  • Claude Fable 5.2 scores 69.4 on the BenchLeader Index and GPT-5 Pro scores 60.0 (BenchLeader, 9 Nov 2026).
  • Claude Fable 5.2 costs $16.00 per 1M tokens blended (list price, 9 Nov 2026).
  • GPT-5 Pro costs $41.25 per 1M tokens blended (list price, 9 Nov 2026).
  • Of the 2 benchmarks both models have, Claude Fable 5.2 leads 2 (BenchLeader, 9 Nov 2026).
Claude Fable 5.2 benchmarks max Anthropic GPT-5 Pro benchmarks OpenAIAdd a third model

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
ReasoningClaude Fable 5.278 vs 56 category score; ARC-AGI-2 92.5% vs 18.3%High
KnowledgeClaude Fable 5.282 vs 66 category scoreHigh
Lowest costClaude Fable 5.2$16.00 vs $41.25 per 1M blended; agentic coding session $0.640 vs $1.38–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Claude Fable 5.2 (max) leads on quality: 69.4 vs 60.0.
  • Claude Fable 5.2 (max) is stronger in coding, knowledge, long context, reasoning.
  • GPT-5 Pro is stronger in multimodal.
  • Claude Fable 5.2 (max) is 2.6× cheaper ($16.00 vs $41.25 per 1M blended).

At a glance

SpecClaude Fable 5.2GPT-5 Pro
DeveloperAnthropicOpenAI
Released9 Nov 20267 Aug 2025
Context window (tokens)1,000,000400,000
Compared atClaude Fable 5.2 (max)GPT-5 Pro
Open weightsNoNo
Price in / out / cached input per 1M$8.00 / $40.00 / $0.200$15.00 / $120.00 / –

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 5.2 (max)GPT-5 ProLeader
Reasoning78.456.1Claude Fable 5.2
Coding80.2–not comparable
Knowledge81.766.3Claude Fable 5.2
Multimodal–67.4not comparable
Long context66.4–not comparable

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 contextMultimodalClaude Fable 5.2, Reasoning: 78.4Claude Fable 5.2, Coding: 80.2Claude Fable 5.2, Knowledge: 81.7Claude Fable 5.2, Long context: 66.4GPT-5 Pro, Reasoning: 56.1GPT-5 Pro, Knowledge: 66.3GPT-5 Pro, Multimodal: 67.4

Dashed: that model has no result on the axis it crosses; the line only joins its neighbours.

Not drawn, no result for these models: Agents & tools, Maths, Instruction following, Human preference.

ModelIndex

Where sources disagree

Across the 2 benchmarks both have, Claude Fable 5.2 leads 2, GPT-5 Pro leads 0. Every overall index that rates both puts Claude Fable 5.2 ahead.

Overall indexClaude Fable 5.2 (max)GPT-5 ProLeader
BenchLeader Index69.460.0Claude 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 5.2 (max)GPT-5 Pro
Blended price per 1M tokens$16.00$41.25
Input / output per 1M$8.00 / $40.00$15.00 / $120.00
Cached input per 1M$0.200–
Price per task: chat reply$0.015$0.042
Price per task: summarize a 30-page report$0.120$0.252
Price per task: code edit$0.108$0.270
Price per task: agentic coding session$0.640$1.38
Price per task: structured extraction$0.024$0.054
Agentic coding session, input mostly cached$0.289–
Cost per benchmark task (AA Index)$26.54–
Output tokens per task (AA Index)274k–
Of which reasoning193k–
Output speed72 tok/s–
Time to first answer3.0 s–

Each model is compared at its best-ranked reasoning-effort setting. 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. GPT-5 Pro scores 60.0. 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

64 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 5.2 (max)GPT-5 Pro
BenchLeader IndexBenchLeader69.460.0
Coding scoreBenchLeader80.2–
Knowledge scoreBenchLeader81.766.3
Long context scoreBenchLeader66.4–
Reasoning scoreBenchLeader78.456.1
Multimodal scoreBenchLeader–67.4
Blended price $/MBenchLeader$16.00$41.25
Output speedBenchLeader72 tok/s–
Time to first answerBenchLeader3.0 s–
Context windowBenchLeader1,000,000 tokens400,000 tokens
Reasoning
Humanity's Last ExamScale AI / CAIS–31.6%
SimpleBenchSimpleBench–61.6%
LiveBench 2.0 ReasoningLiveBench88.8%†–
Humanity's Last Exam (AA)Artificial Analysis74.3%–
HLE-Diamond (AA)Artificial Analysis80.2%–
Kagi LLM BenchmarkKagi LLM Benchmark–76.8%
ARC-AGI-1ARC Prize97.5%70.2%
ARC-AGI-2ARC Prize92.5%18.3%
ARC-AGI-3ARC Prize94.9%–
CritPtArtificial Analysis35.4%–
CritPt v2 hard subset (AA)Artificial Analysis76.5%–
MysteryMechanismVals AI51.8%†–
Chess PuzzlesEpoch AI Benchmarking Hub–48.0%†
Coding
WeirdMLWeirdML–60.4%†
LiveBench 2.0 CodingLiveBench79.2%†–
SciCode (AA)Artificial Analysis67.7%–
Code Migration v1.1Vals AI83.3%†–
ProgramBenchVals AI19.0%†–
SWE-bench MultimodalVals AI62.3%†–
Vibe Code Bench v1.1Vals AI93.8%†–
AlgoTuneAlgoTune–1.3†
Terminal-Bench 4.0 (AA)Artificial Analysis59.6%–
FrontierCode 1.1 (AA)Artificial Analysis56.2%–
FrontierCode 2.0 (AA)Artificial Analysis48.8%–
Agents & tools
LiveBench Long AgenticLiveBench82.9%†–
Show all 64 benchmarks
MetricPublisherClaude Fable 5.2 (max)GPT-5 Pro
Agents & tools
LiveBench BrowserLiveBench86.9%†–
GDPval-AA v2.1Artificial Analysis1831–
Finance Agent v2.1Vals AI69.5%†–
Harvey's Legal Agent Benchmark v1.1Vals AI5.0%†–
Legal Research BenchVals AI46.1%†–
Tax Agent BenchVals AI32.1%†–
Terminal-Bench 4.0 (Vals)Vals AI65.2%†–
Terminal-Bench ScienceVals AI55.7%†–
AutomationBenchArtificial Analysis76.4%–
GDP.pdf (AA)Artificial Analysis24.2%–
Harvey LAB-AA v1.1Harvey7.2%–
AA-Briefcase v1.1Artificial Analysis1785–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis73.3%–
DeepSearchQAGoogle–65.2%
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub–55.8%†
FrontierMath Tier 4Epoch AI Benchmarking Hub–19.5%†
Knowledge
LiveBench 2.0 Data AnalysisLiveBench81.5%†–
LiveBench ResearchLiveBench94.5%†–
AA-Omniscience v1.1Artificial Analysis66.8–
PRBench FinanceScale AI SEAL–51.1%
PRBench LegalScale AI SEAL–49.9%
MultiNRCScale AI SEAL–65.2%
BioMysteryBenchVals AI83.7%†–
Excel Modeling Benchmark v1.1Vals AI77.4%†–
AA-Omniscience v1.1: accuracyArtificial Analysis79.1%–
AA-Omniscience v1.1: non-hallucinationArtificial Analysis40.7%–
HealthBench Professional (AA)OpenAI67.7%–
Multimodal
LiveBench DesignLiveBench85.1%†–
VISTAScale AI SEAL–52.4%
AA-3DArtificial Analysis1271–
Long context
AA-LCR v1.1Artificial Analysis83.3%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub–151.2
LiveBench 2.0LiveBench84.9%†–
AA Intelligence Index v5.0Artificial Analysis64.6–
Vals IndexVals AI71.3†–
Vals Finance IndexVals AI63.6%†–
Vals Science IndexVals AI63.7%†–
Safety & honesty
FORTRESSScale AI SEAL–15.2%
MASKScale AI SEAL–86.0%

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

What changed

  • GPT-5 Pro: 1 new result (PRBench Legal).
  • GPT-5 Pro: BenchLeader Index 58.7 → 60.2.
  • GPT-5 Pro: 2 new results (PRBench Legal, MultiNRC).
  • GPT-5 Pro: BenchLeader Index 60.3 → 58.7.
  • GPT-5 Pro: 1 new result (PRBench Finance).

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

Claude Fable 5.2 vs GPT-5 Pro: questions

Is Claude Fable 5.2 better than GPT-5 Pro?
Claude Fable 5.2 (max) leads on quality: 69.4 vs 60.0. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5.2 (max) is ahead overall as of 9 Nov 2026, but check the category scores for your use.
Claude Fable 5.2 vs GPT-5 Pro: which is cheaper, and will that change?
Claude Fable 5.2 is cheaper today: $16.00 against $41.25 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Which is better for long documents?
Claude Fable 5.2 accepts more context: 1,000,000 against 400,000 tokens for GPT-5 Pro.
Do independent benchmarks agree on Claude Fable 5.2 vs GPT-5 Pro?
Across the 2 benchmarks both have, Claude Fable 5.2 leads 2, GPT-5 Pro leads 0. 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.