Model comparison
Claude Fable 5 vs GPT-4o
Claude Fable 5 is the stronger model overall, scoring 66.8 to 28.6 on the Noometry Index. GPT-4o costs 4.6× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.
Last verified . 34 shared benchmarks.
Summary
- They share 34 benchmarks with published results for both. Claude Fable 5 scores higher in 10 categories and GPT-4o in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5 leads 88.5 to 10.6.
- The biggest single-benchmark swing is ARC-AGI-1: 98.5% for Claude Fable 5 and 4.5% for GPT-4o.
- GPT-4o is cheaper at $2.50 / $10 per million input/output tokens, against $10 / $50 for Claude Fable 5.
- Claude Fable 5 accepts more context: 1M tokens versus 128K.
Side by side
| Claude Fable 5 | GPT-4o | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 66.8 | 28.6 |
| Released | 2026-06-07 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 128K |
| Max output | 128K | 16K |
| Input $ / M tokens | $10 | $2.50 |
| Output $ / M tokens | $50 | $10 |
| Results tracked | 62 | 72 |
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Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 70.6 (#4), GPT-4o: 24.8 (#328)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| GSO | 78.4% | 0% |
| WeirdML | 91.9% | 25.1% |
| LMArena Coding | 1519 | 1297 |
| SWE-bench Verified | — | 31% |
| DeepSWE | 69.9% | — |
| FrontierCode | 53.5% | — |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| LMArena WebDev | 1625 | — |
| FrontierSWE | 47% | — |
| SciCode | 61% | — |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| MirrorCode | 63.9% | — |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| ALE-Bench | 2,041 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Claude Fable 5 leads
Claude Fable 5: 54.0 (#2), GPT-4o: 21.0 (#141)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| LMArena Search | 1230 | 1006 |
| APEX-Agents | 63.6% | — |
| GDPval | — | 9.9% |
| Remote Labor Index | 16.1% | — |
| TheAgentCompany | — | 8.6% |
| τ²-bench Banking | 39.7% | — |
| Cybench | — | 12.5% |
| PostTrainBench | 41.8% | — |
| BALROG | — | 32.3% |
| GBAEval | 74.5% | — |
| GDP.pdf | 30% | — |
| METR Time Horizons | — | 40.8% |
| Vending-Bench 2 | 5,680 | — |
Reasoning Claude Fable 5 leads
Claude Fable 5: 76.8 (#6), GPT-4o: 9.4 (#343)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| ARC-AGI-2 | 89.2% | 0% |
| SimpleBench | 81.9% | 17.8% |
| ARC-AGI-1 | 98.5% | 4.5% |
| CritPt | 28.6% | 0% |
| Chess Puzzles | 41% | 13% |
| EnigmaEval | 39.3% | 0.8% |
| LMArena Hard Prompts | 1508 | 1281 |
| DTBench | 98.4% | 64.5% |
| LMCA | 61.1% | 16.6% |
| Epoch Capabilities Index | 162.06 | 128.97 |
| Kagi LLM Benchmark | 91.4% | — |
| NYT Connections (extended) | 92.7% | — |
| EBR-Bench | 39.5% | — |
| LiveBench Reasoning | — | 55.8% |
| Mystery Game Puzzles | 52% | — |
| LiveBench Data Analysis | — | 60.9% |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
| ForecastBench | — | 57.7 |
| LiveBench | — | 55.3% |
Math Claude Fable 5 leads
Claude Fable 5: 88.5 (#5), GPT-4o: 10.6 (#312)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87% | 0.4% |
| OTIS Mock AIME 2024-2025 | 100% | 6.4% |
| LMArena Math | 1519 | 1285 |
| FrontierMath Tier 4 | 90.2% | — |
| ProofBench | 95% | — |
| Omni-MATH | — | 29.3% |
| LiveBench Math | — | 49.5% |
| MATH Level 5 | — | 53.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5 leads
Claude Fable 5: 62.2 (#25), GPT-4o: 28.8 (#242)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| GPQA Diamond | 85.9% | 49.2% |
| SimpleQA Verified | 70.7% | 26% |
| LMArena Expert | 1534 | 1250 |
| Humanity's Last Exam | — | 2.7% |
| MMLU-Pro | — | 71.3% |
| Confabulations | — | 15.3% |
| Vectara Hallucination Rate | — | 9.6% |
| GPQA (HELM) | — | 52% |
| MMLU | — | 88.1% |
Multimodal Claude Fable 5 leads
Claude Fable 5: 45.3 (#17), GPT-4o: 34.5 (#91)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| LMArena Vision | 1324 | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 35.8% | — |
| LMArena Document | 1496 | — |
| ScienceQA | — | 88.5% |
Multilingual Claude Fable 5 leads
Claude Fable 5: 57.3 (#9), GPT-4o: 43.2 (#186)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| LMArena Non-English | 1481 | 1283 |
| LMArena Chinese | 1543 | 1277 |
| LMArena French | 1505 | 1304 |
| LMArena German | 1486 | 1282 |
| LMArena Japanese | 1506 | 1257 |
| LMArena Korean | 1488 | 1234 |
| LMArena Russian | 1504 | 1286 |
| LMArena Spanish | 1498 | 1292 |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.6 (#8), GPT-4o: 66.6 (#207)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| LMArena Instruction Following | 1502 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
| IFEval | — | 81.7% |
Long Context Claude Fable 5 leads
Claude Fable 5: 46.3 (#23), GPT-4o: 39.4 (#179)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| LMArena Longer Query | 1509 | 1289 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 75.9 (#5), GPT-4o: 52.6 (#166)
| Benchmark | Claude Fable 5 | GPT-4o |
|---|---|---|
| LMArena Text | 1491 | 1300 |
| LMArena Creative Writing | 1494 | 1292 |
| LMArena Multi-Turn | 1504 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| EQ-Bench Creative Writing | 1943 | — |
| WildBench | — | 82.8% |
| EQ-Bench 4 | 1340 | — |
| LiveBench Language | — | 47.6% |
Frequently asked questions
Is Claude Fable 5 better than GPT-4o?
Claude Fable 5 is the stronger model overall, scoring 66.8 to 28.6 on the Noometry Index. GPT-4o costs 4.6× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.
Which is cheaper, Claude Fable 5 or GPT-4o?
GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Fable 5 lists at $10 and $50.
Is Claude Fable 5 or GPT-4o better for coding?
Claude Fable 5 scores higher on coding benchmarks: 70.6 versus 24.8 in the Noometry coding category.
Which has the bigger context window?
Claude Fable 5 does, with 1M tokens against 128K.
How many benchmarks do Claude Fable 5 and GPT-4o share?
34 benchmarks have published results for both models. Claude Fable 5 has 62 scored results on Noometry and GPT-4o has 72.