Model comparison
Gemma 7B vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 30.0 on the Noometry Index.
Last verified . 1 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Gemma 7B scores higher in 0 categories and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 27.3.
Side by side
| Gemma 7B | Qwen3.5-9B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 30.0 | 33.8 |
| Released | 2024-02-21 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 27 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Gemma 7B: 30.5 (#294), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1048 | — |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Gemma 7B: 19.9 (#249), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| Epoch Capabilities Index | 111.99 | 139.46 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1042 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Qwen3.5-9B leads
Gemma 7B: 31.2 (#228), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1066 | — |
| GSM8K | 46.4% | — |
Knowledge Qwen3.5-9B leads
Gemma 7B: 27.3 (#252), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1001 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Not comparable
Gemma 7B: 25.1 (#287), Qwen3.5-9B: —
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 999 | — |
| LMArena Chinese | 1035 | — |
| LMArena French | 1025 | — |
| LMArena Russian | 993 | — |
Instruction Following Not comparable
Gemma 7B: 51.5 (#295), Qwen3.5-9B: —
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1017 | — |
Long Context Not comparable
Gemma 7B: 31.1 (#282), Qwen3.5-9B: —
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1022 | — |
Writing & Preference Not comparable
Gemma 7B: 27.1 (#302), Qwen3.5-9B: —
| Benchmark | Gemma 7B | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1056 | — |
| LMArena Creative Writing | 1024 | — |
| LMArena Multi-Turn | 963 | — |
Frequently asked questions
Is Gemma 7B better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 30.0 on the Noometry Index.
Is Gemma 7B or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and Qwen3.5-9B share?
1 benchmark has published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen3.5-9B has 10.