Model comparison
Claude Fable 5 vs Qwen2.5 72B Instruct
Claude Fable 5 is the stronger model overall, scoring 66.3 to 31.5 on the Noometry Index. Qwen2.5 72B Instruct costs 8.2× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude Fable 5 scores higher in 9 categories and Qwen2.5 72B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5 leads 88.4 to 18.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Fable 5 and 8.1% for Qwen2.5 72B Instruct.
- Qwen2.5 72B Instruct is cheaper at $1.40 / $5.60 per million input/output tokens, against $10 / $50 for Claude Fable 5.
- Claude Fable 5 accepts more context: 1M tokens versus 131K.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Fable 5 | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 66.3 | 31.5 |
| Released | 2026-06-07 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $10 | $1.40 |
| Output $ / M tokens | $50 | $5.60 |
| Results tracked | 61 | 43 |
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Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 67.0 (#4), Qwen2.5 72B Instruct: 32.8 (#256)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | 91.9% | 16% |
| LMArena Coding | 1519 | 1293 |
| DeepSWE | 69.9% | — |
| FrontierCode | 53.5% | — |
| LMArena WebDev | 1626 | — |
| FrontierSWE | 47% | — |
| SciCode | 61% | — |
| BigCodeBench Instruct | — | 45.8% |
| MirrorCode | 63.9% | — |
| BigCodeBench Complete | — | 55.9% |
| ALE-Bench | 2,041 | — |
Agentic & Tool Use Claude Fable 5 leads
Claude Fable 5: 54.1 (#2), Qwen2.5 72B Instruct: 22.0 (#124)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| APEX-Agents | 63.6% | — |
| Remote Labor Index | 16.1% | — |
| TheAgentCompany | — | 5.7% |
| τ²-bench Banking | 39.7% | — |
| PostTrainBench | 41.8% | — |
| BALROG | — | 16.2% |
| GBAEval | 74.5% | — |
| GDP.pdf | 30% | — |
| LMArena Search | 1230 | — |
| METR Time Horizons | — | 35.8% |
| Vending-Bench 2 | 5,680 | — |
Reasoning Claude Fable 5 leads
Claude Fable 5: 76.8 (#4), Qwen2.5 72B Instruct: 21.4 (#197)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1508 | 1271 |
| DTBench | 98.4% | 62.9% |
| LMCA | 61.1% | 13.4% |
| Epoch Capabilities Index | 163.6 | 129.01 |
| 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% | — |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
| BIG-Bench Hard | — | 79.8% |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Claude Fable 5 leads
Claude Fable 5: 88.4 (#5), Qwen2.5 72B Instruct: 18.1 (#281)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 8.1% |
| LMArena Math | 1519 | 1283 |
| FrontierMath (Tiers 1-3) | 87% | — |
| FrontierMath Tier 4 | 90.2% | — |
| ProofBench | 95% | — |
| Omni-MATH | — | 33% |
| MATH Level 5 | — | 63.2% |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5 leads
Claude Fable 5: 62.3 (#22), Qwen2.5 72B Instruct: 26.9 (#247)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | 85.9% | 49.1% |
| LMArena Expert | 1534 | 1245 |
| SimpleQA Verified | 70.7% | — |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multimodal Not comparable
Claude Fable 5: 45.6 (#14), Qwen2.5 72B Instruct: —
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| 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), Qwen2.5 72B Instruct: 41.2 (#208)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1483 | 1252 |
| LMArena Chinese | 1546 | 1272 |
| LMArena French | 1509 | 1279 |
| LMArena German | 1486 | 1234 |
| LMArena Japanese | 1507 | 1180 |
| LMArena Korean | 1493 | 1188 |
| LMArena Russian | 1507 | 1264 |
| LMArena Spanish | 1503 | 1255 |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.8 (#7), Qwen2.5 72B Instruct: 65.7 (#216)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1503 | 1254 |
| IFEval | — | 80.6% |
Long Context Claude Fable 5 leads
Claude Fable 5: 46.3 (#22), Qwen2.5 72B Instruct: 38.9 (#183)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1510 | 1282 |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 76.1 (#5), Qwen2.5 72B Instruct: 46.9 (#210)
| Benchmark | Claude Fable 5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1491 | 1269 |
| LMArena Creative Writing | 1494 | 1221 |
| LMArena Multi-Turn | 1505 | 1272 |
| EQ-Bench Creative Writing | 1943 | — |
| WildBench | — | 80.2% |
| EQ-Bench 4 | 1340 | — |
Frequently asked questions
Is Claude Fable 5 better than Qwen2.5 72B Instruct?
Claude Fable 5 is the stronger model overall, scoring 66.3 to 31.5 on the Noometry Index. Qwen2.5 72B Instruct costs 8.2× 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 Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is cheaper. It lists at $1.40 per million input tokens and $5.60 per million output tokens; Claude Fable 5 lists at $10 and $50.
Is Claude Fable 5 or Qwen2.5 72B Instruct better for coding?
Claude Fable 5 scores higher on coding benchmarks: 67.0 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Claude Fable 5 does, with 1M tokens against 131K.
How many benchmarks do Claude Fable 5 and Qwen2.5 72B Instruct share?
23 benchmarks have published results for both models. Claude Fable 5 has 61 scored results on Noometry and Qwen2.5 72B Instruct has 43.