# Qwen2.5-Coder-32B vs Yi-Large

> Qwen2.5-Coder-32B has enough public results to be ranked (#245); Yi-Large does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/qwen2-5-coder-32b-vs-yi-large
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Qwen2.5-Coder-32B scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.7 to 22.6.
- The biggest single-benchmark swing is BigCodeBench Instruct: 49% for Qwen2.5-Coder-32B and 37.7% for Yi-Large.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 33.4 | 38.1 |
| Rank | 245 | — |
| Context | 33K | — |
| Input $/M | $0.66 | — |
| Output $/M | $1 | — |
| Weights | Open | Proprietary |

## Coding

- Qwen2.5-Coder-32B: 22.6 (#333)
- Yi-Large: 36.7 (#203)

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 49% | 37.7% |
| BigCodeBench Complete | 58% | 47.2% |
| SWE-bench Verified (bash only) | 9% | — |
| Aider Polyglot | 16.4% | — |
| LiveBench Coding | 56.9% | — |
| LMArena Coding | 1276 | — |
| HumanEval+ | 87.2% | — |
| MBPP+ | 77% | — |

## Reasoning

- Qwen2.5-Coder-32B: 21.2 (#225)
- Yi-Large: —

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| LiveBench Reasoning | 42.1% | — |
| LMArena Hard Prompts | 1251 | — |
| LiveBench Data Analysis | 49.9% | — |
| Epoch Capabilities Index | 119.49 | — |
| HellaSwag | 83% | — |
| LiveBench | 46.2% | — |
| WinoGrande | 80.8% | — |

## Math

- Qwen2.5-Coder-32B: 33.3 (#204)
- Yi-Large: —

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| LiveBench Math | 46.6% | — |
| LMArena Math | 1251 | — |
| GSM8K | 93% | — |

## Knowledge

- Qwen2.5-Coder-32B: 33.4 (#203)
- Yi-Large: —

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| MMLU | 79.1% | 79.3% |
| LMArena Expert | 1221 | — |
| ARC (AI2) Challenge | 70.5% | — |

## Multilingual

- Qwen2.5-Coder-32B: 37.8 (#235)
- Yi-Large: —

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1205 | — |
| LMArena Chinese | 1222 | — |
| LMArena Russian | 1228 | — |

## Instruction Following

- Qwen2.5-Coder-32B: 61.4 (#245)
- Yi-Large: —

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| LiveBench Instruction Following | 58.7% | — |
| LMArena Instruction Following | 1223 | — |

## Long Context

- Qwen2.5-Coder-32B: 38.0 (#208)
- Yi-Large: —

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1251 | — |

## Writing & Preference

- Qwen2.5-Coder-32B: 41.6 (#240)
- Yi-Large: —

| Benchmark | Qwen2.5-Coder-32B | Yi-Large |
|---|---|---|
| LMArena Text | 1230 | — |
| LMArena Creative Writing | 1174 | — |
| LMArena Multi-Turn | 1222 | — |
| LiveBench Language | 23.3% | — |

## FAQ

### Is Qwen2.5-Coder-32B better than Yi-Large?

Qwen2.5-Coder-32B has enough public results to be ranked (#245); Yi-Large does not yet, so treat this comparison as directional.

### Is Qwen2.5-Coder-32B or Yi-Large better for coding?

Yi-Large scores higher on coding benchmarks: 36.7 versus 22.6 in the Noometry coding category.

### How many benchmarks do Qwen2.5-Coder-32B and Yi-Large share?

3 benchmarks have published results for both models. Qwen2.5-Coder-32B has 31 scored results on Noometry and Yi-Large has 3.