Model comparison
Claude Fable 5 vs GPT-6.1 Sol
Claude Fable 5 is the stronger model overall, scoring 66.8 to 65.6 on the Noometry Index. GPT-6.1 Sol costs 5.0× 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 6 categories and GPT-6.1 Sol in 4 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude Fable 5 leads 54.0 to 39.6.
- The biggest single-benchmark swing is Furniture Assembly: 35.8% for Claude Fable 5 and 80% for GPT-6.1 Sol.
- GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $10 / $50 for Claude Fable 5.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Fable 5 | GPT-6.1 Sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 66.8 | 65.6 |
| Released | 2026-06-07 | 2026-09-29 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $10 | $2 |
| Output $ / M tokens | $50 | $10 |
| Results tracked | 62 | 34 |
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Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 70.6 (#4), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | 69.9% | 75.2% |
| FrontierCode | 53.5% | 50.2% |
| LMArena WebDev | 1625 | 1755 |
| SciCode | 61% | 55.8% |
| LMArena Coding | 1519 | 1487 |
| FrontierSWE | 47% | — |
| GSO | 78.4% | — |
| WeirdML | 91.9% | — |
| MirrorCode | 63.9% | — |
| ALE-Bench | 2,041 | — |
Agentic & Tool Use Claude Fable 5 leads
Claude Fable 5: 54.0 (#2), GPT-6.1 Sol: 39.6 (#26)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | 63.6% | 60% |
| GDP.pdf | 30% | 32% |
| Remote Labor Index | 16.1% | — |
| τ²-bench Banking | 39.7% | — |
| PostTrainBench | 41.8% | — |
| GBAEval | 74.5% | — |
| LMArena Search | 1230 | — |
| Vending-Bench 2 | 5,680 | — |
Reasoning GPT-6.1 Sol leads
Claude Fable 5: 76.8 (#6), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| ARC-AGI-2 | 89.2% | 94.2% |
| NYT Connections (extended) | 92.7% | 95.5% |
| ARC-AGI-1 | 98.5% | 98.5% |
| CritPt | 28.6% | 31.7% |
| Chess Puzzles | 41% | 61% |
| EBR-Bench | 39.5% | 54.3% |
| LMArena Hard Prompts | 1508 | 1466 |
| Mystery Game Puzzles | 52% | 80% |
| Epoch Capabilities Index | 162.06 | 166.09 |
| SimpleBench | 81.9% | — |
| Kagi LLM Benchmark | 91.4% | — |
| EnigmaEval | 39.3% | — |
| DTBench | 98.4% | — |
| LMCA | 61.1% | — |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
Math GPT-6.1 Sol leads
Claude Fable 5: 88.5 (#5), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87% | 93.7% |
| FrontierMath Tier 4 | 90.2% | 100% |
| OTIS Mock AIME 2024-2025 | 100% | 100% |
| ProofBench | 95% | 99% |
| LMArena Math | 1519 | 1464 |
| FrontierMath Erdős | 0% | — |
Knowledge GPT-6.1 Sol leads
Claude Fable 5: 62.2 (#25), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 85.9% | 95.4% |
| SimpleQA Verified | 70.7% | 73.9% |
| LMArena Expert | 1534 | 1502 |
Multimodal GPT-6.1 Sol leads
Claude Fable 5: 45.3 (#17), GPT-6.1 Sol: 52.7 (#5)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1324 | 1288 |
| Furniture Assembly | 35.8% | 80% |
| Blueprint-Bench 2 | 38.6% | — |
| LMArena Document | 1496 | — |
Multilingual Claude Fable 5 leads
Claude Fable 5: 57.3 (#9), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1481 | 1438 |
| LMArena Chinese | 1543 | 1477 |
| LMArena Russian | 1504 | 1455 |
| LMArena French | 1505 | — |
| LMArena German | 1486 | — |
| LMArena Japanese | 1506 | — |
| LMArena Korean | 1488 | — |
| LMArena Spanish | 1498 | — |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.6 (#8), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1502 | 1468 |
Long Context Claude Fable 5 leads
Claude Fable 5: 46.3 (#23), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1509 | 1465 |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 75.9 (#5), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | Claude Fable 5 | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1491 | 1447 |
| LMArena Creative Writing | 1494 | 1432 |
| LMArena Multi-Turn | 1504 | 1449 |
| EQ-Bench Creative Writing | 1943 | — |
| EQ-Bench 4 | 1340 | — |
Frequently asked questions
Is Claude Fable 5 better than GPT-6.1 Sol?
Claude Fable 5 is the stronger model overall, scoring 66.8 to 65.6 on the Noometry Index. GPT-6.1 Sol costs 5.0× 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-6.1 Sol?
GPT-6.1 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Claude Fable 5 lists at $10 and $50.
Is Claude Fable 5 or GPT-6.1 Sol better for coding?
Claude Fable 5 scores higher on coding benchmarks: 70.6 versus 63.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 1M.
How many benchmarks do Claude Fable 5 and GPT-6.1 Sol share?
34 benchmarks have published results for both models. Claude Fable 5 has 62 scored results on Noometry and GPT-6.1 Sol has 34.