# Gemma 7B vs Qwen3-Coder 480B-A35B Instruct

> Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 30.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-7b-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Gemma 7B scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.3 to 27.1.

## Snapshot

| | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 30.0 | 38.1 |
| Rank | 299 | 190 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- Gemma 7B: 30.5 (#294)
- Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1048 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |

## Agentic & Tool Use

- Gemma 7B: —
- Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- Gemma 7B: 19.9 (#249)
- Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| Epoch Capabilities Index | 111.99 | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |

## Math

- Gemma 7B: 31.2 (#228)
- Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1066 | 1365 |
| GSM8K | 46.4% | — |

## Knowledge

- Gemma 7B: 27.3 (#252)
- Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1001 | 1338 |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |

## Multilingual

- Gemma 7B: 25.1 (#287)
- Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 999 | 1346 |
| LMArena Chinese | 1035 | 1357 |
| LMArena French | 1025 | 1398 |
| LMArena Russian | 993 | 1366 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Spanish | — | 1360 |

## Instruction Following

- Gemma 7B: 51.5 (#295)
- Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1017 | 1355 |

## Long Context

- Gemma 7B: 31.1 (#282)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1022 | 1378 |

## Writing & Preference

- Gemma 7B: 27.1 (#302)
- Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

| Benchmark | Gemma 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1056 | 1357 |
| LMArena Creative Writing | 1024 | 1333 |
| LMArena Multi-Turn | 963 | 1365 |

## FAQ

### Is Gemma 7B better than Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 30.0 on the Noometry Index.

### Is Gemma 7B or Qwen3-Coder 480B-A35B Instruct better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 30.5 in the Noometry coding category.

### How many benchmarks do Gemma 7B and Qwen3-Coder 480B-A35B Instruct share?

13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.