# Claude Fable 5.1 vs Qwen2.5-Coder-32B

> Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 27× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-fable-5-1-vs-qwen2-5-coder-32b
- Last updated: 2026-10-12
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Claude Fable 5.1 scores higher in 8 categories and Qwen2.5-Coder-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5.1 leads 89.6 to 33.3.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 69.0 | 33.4 |
| Rank | 2 | 245 |
| Context | 1M | 33K |
| Input $/M | $10 | $0.66 |
| Output $/M | $50 | $1 |
| Weights | Proprietary | Open |

## Coding

- Claude Fable 5.1: 74.7 (#1)
- Qwen2.5-Coder-32B: 22.6 (#333)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1528 | 1276 |
| FrontierCode | 50.9% | — |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| CursorBench | 51.8% | — |
| LMArena WebDev | 1744 | — |
| FrontierSWE | 56.3% | — |
| SciCode | 63.1% | — |
| GSO | 88.2% | — |
| WeirdML | 92.9% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| MirrorCode | 73.3% | — |
| BigCodeBench Complete | — | 58% |
| ALE-Bench | 2,143 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Agentic & Tool Use

- Claude Fable 5.1: 50.7 (#5)
- Qwen2.5-Coder-32B: —

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Remote Labor Index | 17.9% | — |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |

## Reasoning

- Claude Fable 5.1: 76.7 (#7)
- Qwen2.5-Coder-32B: 21.2 (#225)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1526 | 1251 |
| Epoch Capabilities Index | 164.7 | 119.49 |
| ARC-AGI-2 | 90% | — |
| NYT Connections (extended) | 90% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.1% | — |
| Chess Puzzles | 47% | — |
| EBR-Bench | 57.1% | — |
| LiveBench Reasoning | — | 42.1% |
| Mystery Game Puzzles | 58% | — |
| DTBench | 97.6% | — |
| LiveBench Data Analysis | — | 49.9% |
| LMCA | 65.5% | — |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- Claude Fable 5.1: 89.6 (#4)
- Qwen2.5-Coder-32B: 33.3 (#204)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1525 | 1251 |
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| LiveBench Math | — | 46.6% |
| FrontierMath Erdős | 0% | — |
| GSM8K | — | 93% |

## Knowledge

- Claude Fable 5.1: 69.6 (#6)
- Qwen2.5-Coder-32B: 33.4 (#203)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1535 | 1221 |
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multimodal

- Claude Fable 5.1: 53.9 (#4)
- Qwen2.5-Coder-32B: —

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1318 | — |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |

## Multilingual

- Claude Fable 5.1: 59.1 (#3)
- Qwen2.5-Coder-32B: 37.8 (#235)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1507 | 1205 |
| LMArena Chinese | 1586 | 1222 |
| LMArena Russian | 1521 | 1228 |
| LMArena French | 1525 | — |
| LMArena German | 1500 | — |
| LMArena Japanese | 1543 | — |
| LMArena Korean | 1534 | — |
| LMArena Spanish | 1516 | — |

## Instruction Following

- Claude Fable 5.1: 79.2 (#6)
- Qwen2.5-Coder-32B: 61.4 (#245)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1517 | 1223 |
| LiveBench Instruction Following | — | 58.7% |

## Long Context

- Claude Fable 5.1: 46.7 (#20)
- Qwen2.5-Coder-32B: 38.0 (#208)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1522 | 1251 |

## Writing & Preference

- Claude Fable 5.1: 79.2 (#2)
- Qwen2.5-Coder-32B: 41.6 (#240)

| Benchmark | Claude Fable 5.1 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1510 | 1230 |
| LMArena Creative Writing | 1507 | 1174 |
| LMArena Multi-Turn | 1492 | 1222 |
| EQ-Bench Creative Writing | 2162 | — |
| LiveBench Language | — | 23.3% |

## FAQ

### Is Claude Fable 5.1 better than Qwen2.5-Coder-32B?

Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 27× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.

### Which is cheaper, Claude Fable 5.1 or Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; Claude Fable 5.1 lists at $10 and $50.

### Is Claude Fable 5.1 or Qwen2.5-Coder-32B better for coding?

Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 22.6 in the Noometry coding category.

### Which has the bigger context window?

Claude Fable 5.1 does, with 1M tokens against 33K.

### How many benchmarks do Claude Fable 5.1 and Qwen2.5-Coder-32B share?

13 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and Qwen2.5-Coder-32B has 31.