Model comparison
Gemma 4 31B IT vs Qwen1.5-32B
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 30.0 on the Noometry Index.
Last verified . 15 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 15 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and Qwen1.5-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 4 31B IT leads 60.7 to 34.4.
- The biggest single-benchmark swing is GPQA Diamond: 75.8% for Gemma 4 31B IT and 30.7% for Qwen1.5-32B.
Side by side
| Gemma 4 31B IT | Qwen1.5-32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 43.2 | 30.0 |
| Released | 2026-04-02 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.09 | — |
| Output $ / M tokens | $0.34 | — |
| Results tracked | 35 | 21 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 41.9 (#98), Qwen1.5-32B: 31.1 (#278)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1459 | 1155 |
| LMArena WebDev | 1364 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| BigCodeBench Instruct | — | 32.3% |
| BigCodeBench Complete | — | 42% |
| ALE-Bench | 925.5 | — |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 26.4 (#119), Qwen1.5-32B: 20.9 (#210)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1131 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 41.3 (#72), Qwen1.5-32B: 30.5 (#207)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1464 | 1155 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#141), Qwen1.5-32B: 13.5 (#291)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| GPQA Diamond | 75.8% | 30.7% |
| LMArena Expert | 1465 | 1126 |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
| MMLU | — | 74.4% |
Multimodal Not comparable
Gemma 4 31B IT: 41.0 (#32), Qwen1.5-32B: —
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 54.0 (#52), Qwen1.5-32B: 31.6 (#254)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1431 | 1106 |
| LMArena Chinese | 1478 | 1176 |
| LMArena French | 1436 | 1100 |
| LMArena Russian | 1462 | 1073 |
| LMArena Spanish | 1443 | 1089 |
| LMArena German | — | 1058 |
| LMArena Japanese | — | 1027 |
| LMArena Korean | — | 1007 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.6 (#58), Qwen1.5-32B: 58.0 (#260)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1433 | 1116 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#67), Qwen1.5-32B: 34.7 (#241)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1446 | 1146 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.7 (#92), Qwen1.5-32B: 34.4 (#266)
| Benchmark | Gemma 4 31B IT | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1443 | 1137 |
| LMArena Creative Writing | 1416 | 1083 |
| LMArena Multi-Turn | 1452 | 1140 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Qwen1.5-32B?
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 30.0 on the Noometry Index.
Is Gemma 4 31B IT or Qwen1.5-32B better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 31.1 in the Noometry coding category.
How many benchmarks do Gemma 4 31B IT and Qwen1.5-32B share?
15 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen1.5-32B has 21.