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 case | Pick | Why | Confidence |
|---|---|---|---|
| Reasoning | Claude Fable 5.2 | 78 vs 73 category score | Medium |
| Knowledge | Claude Fable 5.2 | 82 vs 74 category score | High |
| Lowest cost | Claude Fable 5.2 | $16.00 vs $67.50 per 1M blended; agentic coding session $0.640 vs $2.52 | – |
| Fastest first answer | Claude Fable 5.2 | 3.0 s (Claude Fable 5.2 (max)) vs 8.9 s (GPT-5.4 Pro) to the first answer token | – |
| High volume on a budget | Neither flagship | A 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
| Spec | Claude Fable 5.2 | GPT-5.4 Pro |
|---|---|---|
| Developer | Anthropic | OpenAI |
| Released | 9 Nov 2026 | 4 Mar 2026 |
| Context window (tokens) | 1,000,000 | 1,050,000 |
| Compared at | Claude Fable 5.2 (max) | GPT-5.4 Pro |
| Open weights | No | No |
| 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.
| Category | Claude Fable 5.2 (max) | GPT-5.4 Pro | Leader |
|---|---|---|---|
| Reasoning | 78.4 | 72.9 | Claude Fable 5.2 |
| Coding | 80.2 | – | not comparable |
| Knowledge | 81.7 | 74.0 | Claude Fable 5.2 |
| Instruction following | – | 63.1 | not comparable |
| Multimodal | – | 69.8 | not comparable |
| Long context | 66.4 | – | 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.
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.
Where sources disagree
Across the 0 benchmarks both have, Claude Fable 5.2 leads 0, GPT-5.4 Pro leads 0.
| Overall index | Claude Fable 5.2 (max) | GPT-5.4 Pro | Leader |
|---|---|---|---|
| BenchLeader Index | 69.4 | 63.3 | neck 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.
| Measure | Claude 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 reasoning | 193k | – |
| Output speed | 72 tok/s | 6 tok/s |
| Time to first answer | 3.0 s | 8.9 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.
| Metric | Publisher | Claude Fable 5.2 (max) | GPT-5.4 Pro |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 69.4 | 63.3 |
| Coding score | BenchLeader | 80.2 | – |
| Knowledge score | BenchLeader | 81.7 | 74.0 |
| Long context score | BenchLeader | 66.4 | – |
| Reasoning score | BenchLeader | 78.4 | 72.9 |
| Instruction following score | BenchLeader | – | 63.1 |
| Multimodal score | BenchLeader | – | 69.8 |
| Blended price $/M | BenchLeader | $16.00 | $67.50 |
| Output speed | BenchLeader | 72 tok/s | 6 tok/s |
| Time to first answer | BenchLeader | 3.0 s | 8.9 s |
| Context window | BenchLeader | 1,000,000 tokens | 1,050,000 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | – | 94.6%† |
| Humanity's Last Exam | Scale AI / CAIS | – | 44.3% |
| SimpleBench | SimpleBench | – | 74.1% |
| LiveBench 2.0 Reasoning | LiveBench | 88.8%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 74.3% | – |
| HLE-Diamond (AA) | Artificial Analysis | 80.2% | – |
| ARC-AGI-1 | ARC Prize | 97.5% | 94.5%† |
| ARC-AGI-2 | ARC Prize | 92.5% | 83.3%† |
| ARC-AGI-3 | ARC Prize | 94.9% | – |
| CritPt | Artificial Analysis | 35.4% | 30.0%† |
| CritPt v2 hard subset (AA) | Artificial Analysis | 76.5% | – |
| MysteryMechanism | Vals AI | 51.8%† | – |
| Chess Puzzles | Epoch AI Benchmarking Hub | – | 59.0%† |
| Coding | |||
| WeirdML | WeirdML | – | 57.4%† |
| LiveBench 2.0 Coding | LiveBench | 79.2%† | – |
| SciCode (AA) | Artificial Analysis | 67.7% | – |
| Code Migration v1.1 | Vals AI | 83.3%† | – |
| ProgramBench | Vals AI | 19.0%† | – |
| SWE-bench Multimodal | Vals AI | 62.3%† | – |
| Vibe Code Bench v1.1 | Vals AI | 93.8%† | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 59.6% | – |
| FrontierCode 1.1 (AA) | Artificial Analysis | 56.2% | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 48.8% | – |
| Agents & tools | |||
| LiveBench Long Agentic | LiveBench | 82.9%† | – |
| LiveBench Browser | LiveBench | 86.9%† | – |
Show all 64 benchmarks
| Metric | Publisher | Claude Fable 5.2 (max) | GPT-5.4 Pro |
|---|---|---|---|
| Agents & tools | |||
| GDPval-AA v2.1 | Artificial Analysis | 1831 | – |
| Finance Agent v2.1 | Vals AI | 69.5%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 5.0%† | – |
| Legal Research Bench | Vals AI | 46.1%† | – |
| Tax Agent Bench | Vals AI | 32.1%† | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | 65.2%† | – |
| Terminal-Bench Science | Vals AI | 55.7%† | – |
| AutomationBench | Artificial Analysis | 76.4% | – |
| GDP.pdf (AA) | Artificial Analysis | 24.2% | – |
| Harvey LAB-AA v1.1 | Harvey | 7.2% | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1785 | – |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 73.3% | – |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | – | 82.5%† |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | – | 58.5%† |
| MathArena Apex | MathArena | – | 69.8%† |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | – | 46.3%† |
| LiveBench 2.0 Data Analysis | LiveBench | 81.5%† | – |
| LiveBench Research | LiveBench | 94.5%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 66.8 | – |
| MultiNRC | Scale AI SEAL | – | 62.3% |
| BioMysteryBench | Vals AI | 83.7%† | – |
| Excel Modeling Benchmark v1.1 | Vals AI | 77.4%† | – |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 79.1% | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 40.7% | – |
| HealthBench Professional (AA) | OpenAI | 67.7% | – |
| Instruction following | |||
| MultiChallenge | Scale AI SEAL | – | 69.2% |
| TutorBench | Scale AI SEAL | – | 56.6% |
| Multimodal | |||
| LiveBench Design | LiveBench | 85.1%† | – |
| VISTA | Scale AI SEAL | – | 53.9% |
| AA-3D | Artificial Analysis | 1271 | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 83.3% | – |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 160.2 |
| LiveBench 2.0 | LiveBench | 84.9%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 64.6 | – |
| Vals Index | Vals AI | 71.3† | – |
| Vals Finance Index | Vals AI | 63.6%† | – |
| Vals Science Index | Vals AI | 63.7%† | – |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 14.8% |
| MASK | Scale 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.
Related comparisons
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- GPT-5.4 Pro vs Claude Opus 5.5
- GPT-5.4 Pro vs Gemini 4 Carbon
- GPT-5.4 Pro vs GPT-6 Astra
- Claude Sonnet 5.5 vs GPT-5.4 Pro
- Claude Fable 5.2 vs GPT-5.3-Codex
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.