# Gemma 4 31B IT vs Qwen3-Coder 480B-A35B Instruct

> Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-4-31b-it-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 31B IT leads 41.3 to 34.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 63.5% for Gemma 4 31B IT and 49.5% for Qwen3-Coder 480B-A35B Instruct.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.

## Snapshot

| | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 43.2 | 37.7 |
| Rank | 85 | 186 |
| Context | 262K | 262K |
| Input $/M | $0.09 | $1.50 |
| Output $/M | $0.34 | $7.50 |
| Weights | Open | Open |

## Coding

- Gemma 4 31B IT: 41.9 (#98)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1364 | 1275 |
| WeirdML | 52.3% | 41.2% |
| LMArena Coding | 1459 | 1413 |
| ALE-Bench | 925.5 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 43.4% | — |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- Gemma 4 31B IT: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- Gemma 4 31B IT: 26.4 (#119)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 63.5% | 49.5% |
| LMArena Hard Prompts | 1448 | 1372 |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |

## Math

- Gemma 4 31B IT: 41.3 (#72)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1464 | 1364 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |

## Knowledge

- Gemma 4 31B IT: 37.9 (#141)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1465 | 1337 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |

## Multimodal

- Gemma 4 31B IT: 41.0 (#32)
- Qwen3-Coder 480B-A35B Instruct: —

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |

## Multilingual

- Gemma 4 31B IT: 54.0 (#52)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1431 | 1345 |
| LMArena Chinese | 1478 | 1356 |
| LMArena French | 1436 | 1394 |
| LMArena Russian | 1462 | 1367 |
| LMArena Spanish | 1443 | 1360 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1307 |

## Instruction Following

- Gemma 4 31B IT: 75.6 (#58)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1433 | 1356 |

## Long Context

- Gemma 4 31B IT: 44.2 (#67)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1446 | 1379 |

## Writing & Preference

- Gemma 4 31B IT: 60.7 (#92)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Gemma 4 31B IT | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1443 | 1356 |
| LMArena Creative Writing | 1416 | 1333 |
| LMArena Multi-Turn | 1452 | 1365 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |

## FAQ

### Is Gemma 4 31B IT better than Qwen3-Coder 480B-A35B Instruct?

Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 37.7 on the Noometry Index.

### Which is cheaper, Gemma 4 31B IT or Qwen3-Coder 480B-A35B Instruct?

Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is Gemma 4 31B IT or Qwen3-Coder 480B-A35B Instruct better for coding?

Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 36.2 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Gemma 4 31B IT and Qwen3-Coder 480B-A35B Instruct share?

18 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.