# Qwen2.5-Coder-32B vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 32.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen2-5-coder-32b-vs-qwen3-7-plus
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Qwen2.5-Coder-32B scores higher in 0 categories and Qwen3.7 Plus in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.7 Plus leads 64.5 to 41.8.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
- Qwen3.7 Plus accepts more context: 1M tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 32.9 | 45.0 |
| Rank | 239 | 66 |
| Context | 33K | 1M |
| Input $/M | $0.66 | $0.40 |
| Output $/M | $1 | $1.60 |
| Weights | Open | Proprietary |

## Coding

- Qwen2.5-Coder-32B: 22.4 (#328)
- Qwen3.7 Plus: 36.1 (#200)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1276 | 1473 |
| FrontierCode | — | 10.2% |
| SWE-bench Verified (bash only) | 9% | — |
| Aider Polyglot | 16.4% | — |
| SciCode | — | 45.5% |
| BigCodeBench Instruct | 49% | — |
| LiveBench Coding | 56.9% | — |
| BigCodeBench Complete | 58% | — |
| HumanEval+ | 87.2% | — |
| MBPP+ | 77% | — |

## Agentic & Tool Use

- Qwen2.5-Coder-32B: —
- Qwen3.7 Plus: 21.2 (#130)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |

## Reasoning

- Qwen2.5-Coder-32B: 20.4 (#220)
- Qwen3.7 Plus: 38.4 (#54)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1460 |
| Epoch Capabilities Index | 119.41 | 147.39 |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| LiveBench Reasoning | 42.1% | — |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LiveBench Data Analysis | 49.9% | — |
| LMCA | — | 37.6% |
| HellaSwag | 83% | — |
| LiveBench | 46.2% | — |
| WinoGrande | 80.8% | — |

## Math

- Qwen2.5-Coder-32B: 30.8 (#203)
- Qwen3.7 Plus: 49.3 (#47)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1251 | 1467 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| LiveBench Math | 46.6% | — |
| GSM8K | 93% | — |

## Knowledge

- Qwen2.5-Coder-32B: 32.9 (#200)
- Qwen3.7 Plus: 54.9 (#46)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1221 | 1467 |
| GPQA Diamond | — | 87.9% |
| ARC (AI2) Challenge | 70.5% | — |
| MMLU | 79.1% | — |

## Multimodal

- Qwen2.5-Coder-32B: —
- Qwen3.7 Plus: 41.2 (#30)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1281 |
| LMArena Document | — | 1444 |

## Multilingual

- Qwen2.5-Coder-32B: 38.0 (#230)
- Qwen3.7 Plus: 55.0 (#36)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1205 | 1445 |
| LMArena Chinese | 1222 | 1510 |
| LMArena Russian | 1228 | 1457 |
| LMArena French | — | 1471 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1416 |
| LMArena Spanish | — | 1453 |

## Instruction Following

- Qwen2.5-Coder-32B: 61.6 (#240)
- Qwen3.7 Plus: 75.9 (#49)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1223 | 1439 |
| LiveBench Instruction Following | 58.7% | — |

## Long Context

- Qwen2.5-Coder-32B: 37.9 (#204)
- Qwen3.7 Plus: 44.5 (#61)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1251 | 1454 |

## Writing & Preference

- Qwen2.5-Coder-32B: 41.8 (#235)
- Qwen3.7 Plus: 64.5 (#54)

| Benchmark | Qwen2.5-Coder-32B | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1230 | 1454 |
| LMArena Creative Writing | 1174 | 1439 |
| LMArena Multi-Turn | 1222 | 1459 |
| LiveBench Language | 23.3% | — |

## FAQ

### Is Qwen2.5-Coder-32B better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 32.9 on the Noometry Index.

### Which is cheaper, Qwen2.5-Coder-32B or Qwen3.7 Plus?

Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.

### Is Qwen2.5-Coder-32B or Qwen3.7 Plus better for coding?

Qwen3.7 Plus scores higher on coding benchmarks: 36.1 versus 22.4 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.7 Plus does, with 1M tokens against 33K.

### How many benchmarks do Qwen2.5-Coder-32B and Qwen3.7 Plus share?

13 benchmarks have published results for both models. Qwen2.5-Coder-32B has 31 scored results on Noometry and Qwen3.7 Plus has 32.