Model comparison
Gemma 7B vs Qwen3.5 122B-A10B
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 30.0 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 Qwen3.5 122B-A10B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 122B-A10B leads 60.0 to 27.1.
Side by side
| Gemma 7B | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 30.0 | 42.1 |
| Released | 2024-02-21 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 27 | 27 |
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Category by category
Coding Qwen3.5 122B-A10B leads
Gemma 7B: 30.5 (#294), Qwen3.5 122B-A10B: 39.1 (#162)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1048 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Reasoning Qwen3.5 122B-A10B leads
Gemma 7B: 19.9 (#249), Qwen3.5 122B-A10B: 27.2 (#123)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1421 |
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| Epoch Capabilities Index | 111.99 | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Qwen3.5 122B-A10B leads
Gemma 7B: 31.2 (#228), Qwen3.5 122B-A10B: 39.1 (#112)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1066 | 1432 |
| GSM8K | 46.4% | — |
Knowledge Qwen3.5 122B-A10B leads
Gemma 7B: 27.3 (#252), Qwen3.5 122B-A10B: 38.8 (#142)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Expert | 1001 | 1432 |
| Vectara Hallucination Rate | — | 11.2% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multimodal Not comparable
Gemma 7B: —, Qwen3.5 122B-A10B: 39.6 (#57)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Qwen3.5 122B-A10B leads
Gemma 7B: 25.1 (#287), Qwen3.5 122B-A10B: 51.6 (#107)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 999 | 1400 |
| LMArena Chinese | 1035 | 1462 |
| LMArena French | 1025 | 1442 |
| LMArena Russian | 993 | 1400 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1367 |
| LMArena Korean | — | 1352 |
| LMArena Spanish | — | 1424 |
Instruction Following Qwen3.5 122B-A10B leads
Gemma 7B: 51.5 (#295), Qwen3.5 122B-A10B: 73.8 (#115)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1399 |
Long Context Qwen3.5 122B-A10B leads
Gemma 7B: 31.1 (#282), Qwen3.5 122B-A10B: 43.0 (#109)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1022 | 1410 |
Writing & Preference Qwen3.5 122B-A10B leads
Gemma 7B: 27.1 (#302), Qwen3.5 122B-A10B: 60.0 (#105)
| Benchmark | Gemma 7B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1056 | 1417 |
| LMArena Creative Writing | 1024 | 1368 |
| LMArena Multi-Turn | 963 | 1416 |
Frequently asked questions
Is Gemma 7B better than Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 30.0 on the Noometry Index.
Is Gemma 7B or Qwen3.5 122B-A10B better for coding?
Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and Qwen3.5 122B-A10B share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen3.5 122B-A10B has 27.