Model comparison
Claude Fable 5 vs GPT-4.5
Claude Fable 5 is the stronger model overall, scoring 66.8 to 37.2 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Claude Fable 5 scores higher in 10 categories and GPT-4.5 in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Fable 5 leads 76.8 to 13.9.
- The biggest single-benchmark swing is ARC-AGI-2: 89.2% for Claude Fable 5 and 0.8% for GPT-4.5.
Side by side
| Claude Fable 5 | GPT-4.5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 66.8 | 37.2 |
| Released | 2026-06-07 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $50 | — |
| Results tracked | 62 | 42 |
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Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 70.6 (#4), GPT-4.5: 42.2 (#109)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| WeirdML | 91.9% | 39.4% |
| LMArena Coding | 1519 | 1396 |
| DeepSWE | 69.9% | — |
| FrontierCode | 53.5% | — |
| Aider Polyglot | — | 44.9% |
| LMArena WebDev | 1625 | — |
| FrontierSWE | 47% | — |
| SciCode | 61% | — |
| GSO | 78.4% | — |
| LiveBench Coding | — | 75.2% |
| MirrorCode | 63.9% | — |
| ALE-Bench | 2,041 | — |
Agentic & Tool Use Claude Fable 5 leads
Claude Fable 5: 54.0 (#2), GPT-4.5: 27.9 (#97)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| APEX-Agents | 63.6% | — |
| Remote Labor Index | 16.1% | — |
| τ²-bench Banking | 39.7% | — |
| Cybench | — | 17.5% |
| PostTrainBench | 41.8% | — |
| GBAEval | 74.5% | — |
| GDP.pdf | 30% | — |
| LMArena Search | 1230 | — |
| Vending-Bench 2 | 5,680 | — |
Reasoning Claude Fable 5 leads
Claude Fable 5: 76.8 (#6), GPT-4.5: 13.9 (#330)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 89.2% | 0.8% |
| SimpleBench | 81.9% | 34.5% |
| ARC-AGI-1 | 98.5% | 10.3% |
| EnigmaEval | 39.3% | 3.2% |
| LMArena Hard Prompts | 1508 | 1403 |
| Epoch Capabilities Index | 162.06 | 136.74 |
| Kagi LLM Benchmark | 91.4% | — |
| NYT Connections (extended) | 92.7% | — |
| CritPt | 28.6% | — |
| Chess Puzzles | 41% | — |
| EBR-Bench | 39.5% | — |
| LiveBench Reasoning | — | 71.1% |
| Mystery Game Puzzles | 52% | — |
| DTBench | 98.4% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 61.1% | — |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |
Math Claude Fable 5 leads
Claude Fable 5: 88.5 (#5), GPT-4.5: 32.6 (#211)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 37.8% |
| LMArena Math | 1519 | 1412 |
| FrontierMath (Tiers 1-3) | 87% | — |
| FrontierMath Tier 4 | 90.2% | — |
| ProofBench | 95% | — |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5 leads
Claude Fable 5: 62.2 (#25), GPT-4.5: 32.5 (#211)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 85.9% | 68.7% |
| LMArena Expert | 1534 | 1394 |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | 70.7% | — |
| Confabulations | — | 13.6% |
Multimodal Claude Fable 5 leads
Claude Fable 5: 45.3 (#17), GPT-4.5: 37.6 (#71)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| LMArena Vision | 1324 | 1195 |
| VPCT | — | 45% |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 35.8% | — |
| LMArena Document | 1496 | — |
Multilingual Claude Fable 5 leads
Claude Fable 5: 57.3 (#9), GPT-4.5: 52.5 (#83)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1481 | 1413 |
| LMArena Chinese | 1543 | 1421 |
| LMArena French | 1505 | 1418 |
| LMArena German | 1486 | 1457 |
| LMArena Japanese | 1506 | 1416 |
| LMArena Korean | 1488 | 1392 |
| LMArena Russian | 1504 | 1419 |
| LMArena Spanish | 1498 | — |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.6 (#8), GPT-4.5: 72.6 (#134)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1502 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context Claude Fable 5 leads
Claude Fable 5: 46.3 (#23), GPT-4.5: 40.4 (#155)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1509 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 75.9 (#5), GPT-4.5: 56.9 (#134)
| Benchmark | Claude Fable 5 | GPT-4.5 |
|---|---|---|
| LMArena Text | 1491 | 1417 |
| LMArena Creative Writing | 1494 | 1394 |
| EQ-Bench Creative Writing | 1943 | 1258 |
| LMArena Multi-Turn | 1504 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench 4 | 1340 | — |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Claude Fable 5 better than GPT-4.5?
Claude Fable 5 is the stronger model overall, scoring 66.8 to 37.2 on the Noometry Index.
Is Claude Fable 5 or GPT-4.5 better for coding?
Claude Fable 5 scores higher on coding benchmarks: 70.6 versus 42.2 in the Noometry coding category.
How many benchmarks do Claude Fable 5 and GPT-4.5 share?
26 benchmarks have published results for both models. Claude Fable 5 has 62 scored results on Noometry and GPT-4.5 has 42.