# Gemma 7B vs Qwen3-30B-A3B

> Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-7b-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Gemma 7B scores higher in 1 category and Qwen3-30B-A3B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-30B-A3B leads 55.9 to 27.2.

## Snapshot

| | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 29.5 | 38.5 |
| Rank | 295 | 174 |
| Context | — | 41K |
| Input $/M | — | $0.12 |
| Output $/M | — | $0.50 |
| Weights | Open | Open |

## Coding

- Gemma 7B: 29.9 (#290)
- Qwen3-30B-A3B: 37.0 (#188)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1048 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |

## Agentic & Tool Use

- Gemma 7B: —
- Qwen3-30B-A3B: 29.5 (#75)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |

## Reasoning

- Gemma 7B: 19.0 (#247)
- Qwen3-30B-A3B: 21.6 (#193)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1398 |
| Epoch Capabilities Index | 111.74 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |

## Math

- Gemma 7B: 28.7 (#225)
- Qwen3-30B-A3B: 36.0 (#133)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1066 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| GSM8K | 46.4% | — |

## Knowledge

- Gemma 7B: 26.8 (#248)
- Qwen3-30B-A3B: 41.7 (#96)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1002 | 1395 |
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |

## Multilingual

- Gemma 7B: 25.3 (#282)
- Qwen3-30B-A3B: 49.8 (#126)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 999 | 1372 |
| LMArena Chinese | 1035 | 1434 |
| LMArena French | 1024 | 1419 |
| LMArena Russian | 993 | 1369 |
| LMArena German | — | 1379 |
| LMArena Japanese | — | 1338 |
| LMArena Korean | — | 1333 |
| LMArena Spanish | — | 1403 |

## Instruction Following

- Gemma 7B: 51.7 (#290)
- Qwen3-30B-A3B: 72.2 (#137)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1364 |

## Long Context

- Gemma 7B: 31.1 (#277)
- Qwen3-30B-A3B: 31.0 (#278)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1022 | 1379 |
| Fiction.LiveBench | — | 40.6% |

## Writing & Preference

- Gemma 7B: 27.2 (#297)
- Qwen3-30B-A3B: 55.9 (#138)

| Benchmark | Gemma 7B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1056 | 1384 |
| LMArena Creative Writing | 1024 | 1318 |
| LMArena Multi-Turn | 963 | 1378 |
| Short-Story Creative Writing | — | 75.3% |

## FAQ

### Is Gemma 7B better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.5 on the Noometry Index.

### Is Gemma 7B or Qwen3-30B-A3B better for coding?

Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 29.9 in the Noometry coding category.

### How many benchmarks do Gemma 7B and Qwen3-30B-A3B share?

14 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen3-30B-A3B has 32.