Model comparison
Claude Fable 5 vs Qwen3.8 Max
Claude Fable 5 is the stronger model overall, scoring 66.8 to 56.8 on the Noometry Index. Qwen3.8 Max costs 6.7× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.
Last verified . 39 shared benchmarks.
Alibaba (Qwen)Summary
- They share 39 benchmarks with published results for both. Claude Fable 5 scores higher in 10 categories and Qwen3.8 Max in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Fable 5 leads 76.8 to 54.4.
- The biggest single-benchmark swing is FrontierMath Tier 4: 90.2% for Claude Fable 5 and 46.3% for Qwen3.8 Max.
- Qwen3.8 Max is cheaper at $2 / $6 per million input/output tokens, against $10 / $50 for Claude Fable 5.
Side by side
| Claude Fable 5 | Qwen3.8 Max | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 66.8 | 56.8 |
| Released | 2026-06-07 | 2026-08-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $10 | $2 |
| Output $ / M tokens | $50 | $6 |
| Results tracked | 62 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 70.6 (#4), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| DeepSWE | 69.9% | 57.5% |
| LMArena WebDev | 1625 | 1674 |
| FrontierSWE | 47% | 17.8% |
| SciCode | 61% | 53.2% |
| LMArena Coding | 1519 | 1502 |
| FrontierCode | 53.5% | — |
| 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), Qwen3.8 Max: 45.4 (#14)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | 63.6% | 63.3% |
| τ²-bench Banking | 39.7% | 55.1% |
| GDP.pdf | 30% | 23.2% |
| Remote Labor Index | 16.1% | — |
| PostTrainBench | 41.8% | — |
| GBAEval | 74.5% | — |
| LMArena Search | 1230 | — |
| Vending-Bench 2 | 5,680 | — |
Reasoning Claude Fable 5 leads
Claude Fable 5: 76.8 (#6), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| NYT Connections (extended) | 92.7% | 88.3% |
| CritPt | 28.6% | 20% |
| Chess Puzzles | 41% | 40% |
| LMArena Hard Prompts | 1508 | 1496 |
| Mystery Game Puzzles | 52% | 38% |
| DTBench | 98.4% | 92% |
| LMCA | 61.1% | 46.2% |
| Epoch Capabilities Index | 162.06 | 156.41 |
| ARC-AGI-2 | 89.2% | — |
| SimpleBench | 81.9% | — |
| Kagi LLM Benchmark | 91.4% | — |
| ARC-AGI-1 | 98.5% | — |
| EnigmaEval | 39.3% | — |
| EBR-Bench | 39.5% | — |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
Math Claude Fable 5 leads
Claude Fable 5: 88.5 (#5), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87% | 74.7% |
| FrontierMath Tier 4 | 90.2% | 46.3% |
| OTIS Mock AIME 2024-2025 | 100% | 100% |
| ProofBench | 95% | 58% |
| LMArena Math | 1519 | 1499 |
| FrontierMath Erdős | 0% | — |
Knowledge Too close to call
Claude Fable 5: 62.2 (#25), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | 85.9% | 92.7% |
| SimpleQA Verified | 70.7% | 47.3% |
| LMArena Expert | 1534 | 1507 |
Multimodal Claude Fable 5 leads
Claude Fable 5: 45.3 (#17), Qwen3.8 Max: 37.2 (#75)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | 1324 | 1314 |
| Furniture Assembly | 35.8% | 20% |
| Blueprint-Bench 2 | 38.6% | — |
| LMArena Document | 1496 | — |
Multilingual Too close to call
Claude Fable 5: 57.3 (#9), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1481 | 1472 |
| LMArena Chinese | 1543 | 1538 |
| LMArena French | 1505 | 1503 |
| LMArena German | 1486 | 1483 |
| LMArena Japanese | 1506 | 1467 |
| LMArena Korean | 1488 | 1461 |
| LMArena Russian | 1504 | 1481 |
| LMArena Spanish | 1498 | 1492 |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.6 (#8), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1502 | 1479 |
Long Context Too close to call
Claude Fable 5: 46.3 (#23), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1509 | 1489 |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 75.9 (#5), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Claude Fable 5 | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1491 | 1483 |
| LMArena Creative Writing | 1494 | 1479 |
| LMArena Multi-Turn | 1504 | 1489 |
| EQ-Bench Creative Writing | 1943 | — |
| EQ-Bench 4 | 1340 | — |
Frequently asked questions
Is Claude Fable 5 better than Qwen3.8 Max?
Claude Fable 5 is the stronger model overall, scoring 66.8 to 56.8 on the Noometry Index. Qwen3.8 Max costs 6.7× 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 Qwen3.8 Max?
Qwen3.8 Max is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Fable 5 lists at $10 and $50.
Is Claude Fable 5 or Qwen3.8 Max better for coding?
Claude Fable 5 scores higher on coding benchmarks: 70.6 versus 53.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do Claude Fable 5 and Qwen3.8 Max share?
39 benchmarks have published results for both models. Claude Fable 5 has 62 scored results on Noometry and Qwen3.8 Max has 39.