Model comparison
Claude Fable 5 vs Qwen1.5-32B
Claude Fable 5 is the stronger model overall, scoring 66.3 to 30.0 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Claude Fable 5 scores higher in 8 categories and Qwen1.5-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5 leads 88.4 to 30.5.
- The biggest single-benchmark swing is GPQA Diamond: 85.9% for Claude Fable 5 and 30.7% for Qwen1.5-32B.
- Qwen1.5-32B has downloadable open weights; the other is API-only.
Side by side
| Claude Fable 5 | Qwen1.5-32B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 66.3 | 30.0 |
| Released | 2026-06-07 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $50 | — |
| Results tracked | 61 | 21 |
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Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 67.0 (#4), Qwen1.5-32B: 31.1 (#278)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1519 | 1155 |
| DeepSWE | 69.9% | — |
| FrontierCode | 53.5% | — |
| LMArena WebDev | 1626 | — |
| FrontierSWE | 47% | — |
| SciCode | 61% | — |
| WeirdML | 91.9% | — |
| BigCodeBench Instruct | — | 32.3% |
| MirrorCode | 63.9% | — |
| BigCodeBench Complete | — | 42% |
| ALE-Bench | 2,041 | — |
Agentic & Tool Use Not comparable
Claude Fable 5: 54.1 (#2), Qwen1.5-32B: —
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| APEX-Agents | 63.6% | — |
| Remote Labor Index | 16.1% | — |
| τ²-bench Banking | 39.7% | — |
| 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 (#4), Qwen1.5-32B: 20.9 (#210)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1508 | 1131 |
| ARC-AGI-2 | 89.2% | — |
| SimpleBench | 81.9% | — |
| Kagi LLM Benchmark | 91.4% | — |
| NYT Connections (extended) | 92.7% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 28.6% | — |
| Chess Puzzles | 41% | — |
| EnigmaEval | 39.3% | — |
| EBR-Bench | 39.5% | — |
| Mystery Game Puzzles | 52% | — |
| DTBench | 98.4% | — |
| LMCA | 61.1% | — |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
| Epoch Capabilities Index | 163.6 | — |
Math Claude Fable 5 leads
Claude Fable 5: 88.4 (#5), Qwen1.5-32B: 30.5 (#207)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1519 | 1155 |
| FrontierMath (Tiers 1-3) | 87% | — |
| FrontierMath Tier 4 | 90.2% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 95% | — |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5 leads
Claude Fable 5: 62.3 (#22), Qwen1.5-32B: 13.5 (#291)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| GPQA Diamond | 85.9% | 30.7% |
| LMArena Expert | 1534 | 1126 |
| SimpleQA Verified | 70.7% | — |
| MMLU | — | 74.4% |
Multimodal Not comparable
Claude Fable 5: 45.6 (#14), Qwen1.5-32B: —
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Vision | 1326 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 35.8% | — |
| LMArena Document | 1496 | — |
Multilingual Claude Fable 5 leads
Claude Fable 5: 57.6 (#8), Qwen1.5-32B: 31.6 (#254)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1483 | 1106 |
| LMArena Chinese | 1546 | 1176 |
| LMArena French | 1509 | 1100 |
| LMArena German | 1486 | 1058 |
| LMArena Japanese | 1507 | 1027 |
| LMArena Korean | 1493 | 1007 |
| LMArena Russian | 1507 | 1073 |
| LMArena Spanish | 1503 | 1089 |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.8 (#7), Qwen1.5-32B: 58.0 (#260)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1503 | 1116 |
Long Context Claude Fable 5 leads
Claude Fable 5: 46.3 (#22), Qwen1.5-32B: 34.7 (#241)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1510 | 1146 |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 76.1 (#5), Qwen1.5-32B: 34.4 (#266)
| Benchmark | Claude Fable 5 | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1491 | 1137 |
| LMArena Creative Writing | 1494 | 1083 |
| LMArena Multi-Turn | 1505 | 1140 |
| EQ-Bench Creative Writing | 1943 | — |
| EQ-Bench 4 | 1340 | — |
Frequently asked questions
Is Claude Fable 5 better than Qwen1.5-32B?
Claude Fable 5 is the stronger model overall, scoring 66.3 to 30.0 on the Noometry Index.
Is Claude Fable 5 or Qwen1.5-32B better for coding?
Claude Fable 5 scores higher on coding benchmarks: 67.0 versus 31.1 in the Noometry coding category.
How many benchmarks do Claude Fable 5 and Qwen1.5-32B share?
18 benchmarks have published results for both models. Claude Fable 5 has 61 scored results on Noometry and Qwen1.5-32B has 21.