Model comparison
Gemma 7B vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 39.2 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 32B in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 32B leads 52.9 to 27.1.
Side by side
| Gemma 7B | Qwen3 32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 30.0 | 39.2 |
| Released | 2024-02-21 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 27 | 26 |
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Category by category
Coding Qwen3 32B leads
Gemma 7B: 30.5 (#294), Qwen3 32B: 37.7 (#190)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1048 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, Qwen3 32B: 32.6 (#62)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Too close to call
Gemma 7B: 19.9 (#249), Qwen3 32B: 20.2 (#241)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1334 |
| Epoch Capabilities Index | 111.99 | 138.51 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Qwen3 32B leads
Gemma 7B: 31.2 (#228), Qwen3 32B: 39.7 (#99)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Math | 1066 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
| GSM8K | 46.4% | — |
Knowledge Qwen3 32B leads
Gemma 7B: 27.3 (#252), Qwen3 32B: 40.0 (#125)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Expert | 1001 | 1362 |
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Qwen3 32B leads
Gemma 7B: 25.1 (#287), Qwen3 32B: 45.6 (#167)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 999 | 1317 |
| LMArena Chinese | 1035 | 1357 |
| LMArena Russian | 993 | 1311 |
| LMArena French | 1025 | — |
| LMArena German | — | 1341 |
Instruction Following Qwen3 32B leads
Gemma 7B: 51.5 (#295), Qwen3 32B: 68.9 (#179)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1305 |
Long Context Qwen3 32B leads
Gemma 7B: 31.1 (#282), Qwen3 32B: 43.8 (#87)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1022 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Qwen3 32B leads
Gemma 7B: 27.1 (#302), Qwen3 32B: 52.9 (#163)
| Benchmark | Gemma 7B | Qwen3 32B |
|---|---|---|
| LMArena Text | 1056 | 1340 |
| LMArena Creative Writing | 1024 | 1297 |
| LMArena Multi-Turn | 963 | 1331 |
Frequently asked questions
Is Gemma 7B better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 39.2 to 30.0 on the Noometry Index.
Is Gemma 7B or Qwen3 32B better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.7 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and Qwen3 32B share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen3 32B has 26.