Model comparison
Gemma 7B vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 29.5 on the Noometry Index.
Last verified . 13 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Gemma 7B scores higher in 0 categories and Qwen3-VL 235B-A22B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-VL 235B-A22B leads 60.4 to 27.2.
Side by side
| Gemma 7B | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 29.5 | 42.5 |
| Released | 2024-02-21 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 27 | 18 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Gemma 7B: 29.9 (#290), Qwen3-VL 235B-A22B: 41.8 (#103)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | 1048 | 1438 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Reasoning Qwen3-VL 235B-A22B leads
Gemma 7B: 19.0 (#247), Qwen3-VL 235B-A22B: 28.1 (#92)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1428 |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| Epoch Capabilities Index | 111.74 | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Qwen3-VL 235B-A22B leads
Gemma 7B: 28.7 (#225), Qwen3-VL 235B-A22B: 36.2 (#120)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | 1066 | 1426 |
| GSM8K | 46.4% | — |
Knowledge Qwen3-VL 235B-A22B leads
Gemma 7B: 26.8 (#248), Qwen3-VL 235B-A22B: 39.6 (#120)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | 1002 | 1440 |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multimodal Not comparable
Gemma 7B: —, Qwen3-VL 235B-A22B: 39.1 (#50)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Qwen3-VL 235B-A22B leads
Gemma 7B: 25.3 (#282), Qwen3-VL 235B-A22B: 52.1 (#92)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | 999 | 1405 |
| LMArena Chinese | 1035 | 1462 |
| LMArena French | 1024 | 1448 |
| LMArena Russian | 993 | 1409 |
| LMArena German | — | 1424 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1395 |
| LMArena Spanish | — | 1427 |
Instruction Following Qwen3-VL 235B-A22B leads
Gemma 7B: 51.7 (#290), Qwen3-VL 235B-A22B: 74.4 (#95)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1407 |
Long Context Qwen3-VL 235B-A22B leads
Gemma 7B: 31.1 (#277), Qwen3-VL 235B-A22B: 43.4 (#93)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1022 | 1420 |
Writing & Preference Qwen3-VL 235B-A22B leads
Gemma 7B: 27.2 (#297), Qwen3-VL 235B-A22B: 60.4 (#94)
| Benchmark | Gemma 7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | 1056 | 1420 |
| LMArena Creative Writing | 1024 | 1367 |
| LMArena Multi-Turn | 963 | 1428 |
Frequently asked questions
Is Gemma 7B better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 29.5 on the Noometry Index.
Is Gemma 7B or Qwen3-VL 235B-A22B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 41.8 versus 29.9 in the Noometry coding category.
How many benchmarks do Gemma 7B and Qwen3-VL 235B-A22B share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen3-VL 235B-A22B has 18.