# Gemma 4 31B IT vs Qwen2.5-Coder-32B

> Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 32.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-4-31b-it-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Gemma 4 31B IT 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 coding, where Gemma 4 31B IT leads 41.9 to 22.4.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
- Gemma 4 31B IT accepts more context: 262K tokens versus 33K.

## Snapshot

| | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 43.2 | 32.9 |
| Rank | 85 | 239 |
| Context | 262K | 33K |
| Input $/M | $0.09 | $0.66 |
| Output $/M | $0.34 | $1 |
| Weights | Open | Open |

## Coding

- Gemma 4 31B IT: 41.9 (#98)
- Qwen2.5-Coder-32B: 22.4 (#328)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1459 | 1276 |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| LMArena WebDev | 1364 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| ALE-Bench | 925.5 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Reasoning

- Gemma 4 31B IT: 26.4 (#119)
- Qwen2.5-Coder-32B: 20.4 (#220)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1251 |
| Epoch Capabilities Index | 142.74 | 119.41 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| LiveBench Reasoning | — | 42.1% |
| DTBench | 82.7% | — |
| LiveBench Data Analysis | — | 49.9% |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- Gemma 4 31B IT: 41.3 (#72)
- Qwen2.5-Coder-32B: 30.8 (#203)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1464 | 1251 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |

## Knowledge

- Gemma 4 31B IT: 37.9 (#141)
- Qwen2.5-Coder-32B: 32.9 (#200)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1465 | 1221 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multimodal

- Gemma 4 31B IT: 41.0 (#32)
- Qwen2.5-Coder-32B: —

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |

## Multilingual

- Gemma 4 31B IT: 54.0 (#52)
- Qwen2.5-Coder-32B: 38.0 (#230)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1431 | 1205 |
| LMArena Chinese | 1478 | 1222 |
| LMArena Russian | 1462 | 1228 |
| LMArena French | 1436 | — |
| LMArena Spanish | 1443 | — |

## Instruction Following

- Gemma 4 31B IT: 75.6 (#58)
- Qwen2.5-Coder-32B: 61.6 (#240)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1433 | 1223 |
| LiveBench Instruction Following | — | 58.7% |

## Long Context

- Gemma 4 31B IT: 44.2 (#67)
- Qwen2.5-Coder-32B: 37.9 (#204)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1446 | 1251 |

## Writing & Preference

- Gemma 4 31B IT: 60.7 (#92)
- Qwen2.5-Coder-32B: 41.8 (#235)

| Benchmark | Gemma 4 31B IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1443 | 1230 |
| LMArena Creative Writing | 1416 | 1174 |
| LMArena Multi-Turn | 1452 | 1222 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
| LiveBench Language | — | 23.3% |

## FAQ

### Is Gemma 4 31B IT better than Qwen2.5-Coder-32B?

Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 32.9 on the Noometry Index.

### Which is cheaper, Gemma 4 31B IT or Qwen2.5-Coder-32B?

Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.

### Is Gemma 4 31B IT or Qwen2.5-Coder-32B better for coding?

Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 22.4 in the Noometry coding category.

### Which has the bigger context window?

Gemma 4 31B IT does, with 262K tokens against 33K.

### How many benchmarks do Gemma 4 31B IT and Qwen2.5-Coder-32B share?

13 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen2.5-Coder-32B has 31.