Model comparison
Gemma 4 31B IT vs Qwen1.5-7B
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 31.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and Qwen1.5-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 4 31B IT leads 60.5 to 29.6.
Side by side
| Gemma 4 31B IT | Qwen1.5-7B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 43.5 | 31.4 |
| 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 | 13 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 42.3 (#108), Qwen1.5-7B: 32.2 (#276)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1459 | 1107 |
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 27.2 (#122), Qwen1.5-7B: 20.4 (#240)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1065 |
| 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: 43.2 (#81), Qwen1.5-7B: 31.4 (#224)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1465 | 1080 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#151), Qwen1.5-7B: 28.7 (#243)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1465 | 1055 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
| MMLU | — | 62.6% |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), Qwen1.5-7B: —
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), Qwen1.5-7B: 28.5 (#271)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1431 | 1058 |
| LMArena Chinese | 1476 | 1141 |
| LMArena Russian | 1460 | 1006 |
| LMArena French | 1435 | — |
| LMArena Spanish | 1444 | — |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), Qwen1.5-7B: 54.1 (#281)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1433 | 1058 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#71), Qwen1.5-7B: 33.1 (#266)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1446 | 1090 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), Qwen1.5-7B: 29.6 (#293)
| Benchmark | Gemma 4 31B IT | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1443 | 1083 |
| LMArena Creative Writing | 1415 | 1035 |
| LMArena Multi-Turn | 1452 | 1062 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Qwen1.5-7B?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 31.4 on the Noometry Index.
Is Gemma 4 31B IT or Qwen1.5-7B better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 32.2 in the Noometry coding category.
How many benchmarks do Gemma 4 31B IT and Qwen1.5-7B share?
12 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen1.5-7B has 13.