BenchLeader

Claude Fable 5.2 vs GPT-5.4 Pro

Full profiles: Claude Fable 5.2 (Anthropic) and GPT-5.4 Pro (OpenAI): every benchmark, price and rank.

Updated · Data from 6 sources

As of 9 Nov 2026, Claude Fable 5.2 and GPT-5.4 Pro are neck and neck on quality (69.4 vs 63.3 on the BenchLeader Index, inside the ±6.9 margin), and Claude Fable 5.2 is 4.2× cheaper at $16.00 vs $67.50 per 1M tokens blended. Claude Fable 5.2 leads in every category we measure both in. Claude Fable 5.2 streams 3×+ faster.

Key facts (as of 9 Nov 2026)

  • Claude Fable 5.2 scores 69.4 on the BenchLeader Index and GPT-5.4 Pro scores 63.3 (BenchLeader, 9 Nov 2026).
  • Claude Fable 5.2 costs $16.00 per 1M tokens blended (list price, 9 Nov 2026).
  • GPT-5.4 Pro costs $67.50 per 1M tokens blended (list price, 9 Nov 2026).
  • Claude Fable 5.2 streams 3×+ faster than GPT-5.4 Pro (Artificial Analysis, 7-day median, 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
ReasoningClaude Fable 5.278 vs 73 category scoreMedium
KnowledgeClaude Fable 5.282 vs 74 category scoreHigh
Lowest costClaude Fable 5.2$16.00 vs $67.50 per 1M blended; agentic coding session $0.640 vs $2.52–
Fastest first answerClaude Fable 5.23.0 s (Claude Fable 5.2 (max)) vs 8.9 s (GPT-5.4 Pro) 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 5.2 (max) and GPT-5.4 Pro are neck and neck on quality (69.4 vs 63.3, within the ±6.9 margin).
  • Claude Fable 5.2 (max) is stronger in coding, knowledge, long context, reasoning.
  • GPT-5.4 Pro is stronger in instruction following, multimodal.
  • Claude Fable 5.2 (max) is 4.2× cheaper ($16.00 vs $67.50 per 1M blended).
  • Claude Fable 5.2 (max) streams 12.0× faster (72 vs 6 tokens per second).

At a glance

SpecClaude Fable 5.2GPT-5.4 Pro
DeveloperAnthropicOpenAI
Released9 Nov 20264 Mar 2026
Context window (tokens)1,000,0001,050,000
Compared atClaude Fable 5.2 (max)GPT-5.4 Pro
Open weightsNoNo
Price in / out / cached input per 1M$8.00 / $40.00 / $0.200$30.00 / $180.00 / –

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-5.4 ProLeader
Reasoning78.472.9Claude Fable 5.2
Coding80.2–not comparable
Knowledge81.774.0Claude Fable 5.2
Instruction following–63.1not comparable
Multimodal–69.8not 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 avg75ReasoningCodingKnowledgeInstructionfollowingLong 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-5.4 Pro, Reasoning: 72.9GPT-5.4 Pro, Knowledge: 74.0GPT-5.4 Pro, Instruction following: 63.1GPT-5.4 Pro, Multimodal: 69.8

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, Human preference.

ModelIndex

Where sources disagree

Across the 0 benchmarks both have, Claude Fable 5.2 leads 0, GPT-5.4 Pro leads 0.

Overall indexClaude Fable 5.2 (max)GPT-5.4 ProLeader
BenchLeader Index69.463.3neck and neck

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-5.4 Pro
Blended price per 1M tokens$16.00$67.50
Input / output per 1M$8.00 / $40.00$30.00 / $180.00
Cached input per 1M$0.200–
Price per task: chat reply$0.015$0.066
Price per task: summarize a 30-page report$0.120$0.468
Price per task: code edit$0.108$0.450
Price per task: agentic coding session$0.640$2.52
Price per task: structured extraction$0.024$0.096
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/s6 tok/s
Time to first answer3.0 s8.9 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-5.4 Pro scores 63.3 and takes 9 s to its first answer token; GPT-5.4 Pro (xhigh) scores 59.9 in 9 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

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-5.4 Pro
BenchLeader IndexBenchLeader69.463.3
Coding scoreBenchLeader80.2–
Knowledge scoreBenchLeader81.774.0
Long context scoreBenchLeader66.4–
Reasoning scoreBenchLeader78.472.9
Instruction following scoreBenchLeader–63.1
Multimodal scoreBenchLeader–69.8
Blended price $/MBenchLeader$16.00$67.50
Output speedBenchLeader72 tok/s6 tok/s
Time to first answerBenchLeader3.0 s8.9 s
Context windowBenchLeader1,000,000 tokens1,050,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub–94.6%†
Humanity's Last ExamScale AI / CAIS–44.3%
SimpleBenchSimpleBench–74.1%
LiveBench 2.0 ReasoningLiveBench88.8%†–
Humanity's Last Exam (AA)Artificial Analysis74.3%–
HLE-Diamond (AA)Artificial Analysis80.2%–
ARC-AGI-1ARC Prize97.5%94.5%†
ARC-AGI-2ARC Prize92.5%83.3%†
ARC-AGI-3ARC Prize94.9%–
CritPtArtificial Analysis35.4%30.0%†
CritPt v2 hard subset (AA)Artificial Analysis76.5%–
MysteryMechanismVals AI51.8%†–
Chess PuzzlesEpoch AI Benchmarking Hub–59.0%†
Coding
WeirdMLWeirdML–57.4%†
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%†–
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%†–
LiveBench BrowserLiveBench86.9%†–
Show all 64 benchmarks
MetricPublisherClaude Fable 5.2 (max)GPT-5.4 Pro
Agents & tools
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%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub–82.5%†
FrontierMath Tier 4Epoch AI Benchmarking Hub–58.5%†
MathArena ApexMathArena–69.8%†
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub–46.3%†
LiveBench 2.0 Data AnalysisLiveBench81.5%†–
LiveBench ResearchLiveBench94.5%†–
AA-Omniscience v1.1Artificial Analysis66.8–
MultiNRCScale AI SEAL–62.3%
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%–
Instruction following
MultiChallengeScale AI SEAL–69.2%
TutorBenchScale AI SEAL–56.6%
Multimodal
LiveBench DesignLiveBench85.1%†–
VISTAScale AI SEAL–53.9%
AA-3DArtificial Analysis1271–
Long context
AA-LCR v1.1Artificial Analysis83.3%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub–160.2
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–14.8%
MASKScale AI SEAL–91.7%

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

What changed

  • GPT-5.4 Pro: BenchLeader Index 63.6 → 63.1.
  • GPT-5.4 Pro: 1 score revision.
  • GPT-5.4 Pro: BenchLeader Index 62.1 → 63.6.
  • GPT-5.4 Pro: 1 new result (MultiNRC).
  • GPT-5.4 Pro: BenchLeader Index 64.0 → 62.1.

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

Claude Fable 5.2 vs GPT-5.4 Pro: questions

Is Claude Fable 5.2 better than GPT-5.4 Pro?
Claude Fable 5.2 (max) and GPT-5.4 Pro are neck and neck on quality (69.4 vs 63.3, within the ±6.9 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 5.2 vs GPT-5.4 Pro: which is cheaper, and will that change?
Claude Fable 5.2 is cheaper today: $16.00 against $67.50 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Which is faster, Claude Fable 5.2 or GPT-5.4 Pro?
Claude Fable 5.2 streams 3×+ faster (72 vs 6 output tokens per second, Artificial Analysis 7-day median).
Which is better for long documents?
Both take about 1.1M tokens: Claude Fable 5.2 1,000,000, GPT-5.4 Pro 1,050,000.
Which has lower latency?
Claude Fable 5.2 answers first: 3.0 s against 8.9 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.
More questions (1)
When was Claude Fable 5.2 released?
Claude Fable 5.2 was released on 9 Nov 2026.