Model comparison
Gemma 4 31B IT vs Qwen-14B
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 30.8 on the Noometry Index.
Last verified . 11 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Gemma 4 31B IT scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 4 31B IT leads 60.7 to 27.8.
Side by side
| Gemma 4 31B IT | Qwen-14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 43.2 | 30.8 |
| Released | 2026-04-02 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.09 | — |
| Output $ / M tokens | $0.34 | — |
| Results tracked | 35 | 18 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 41.9 (#98), Qwen-14B: 30.6 (#283)
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Coding | 1459 | 1072 |
| LMArena WebDev | 1364 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 26.4 (#119), Qwen-14B: 18.7 (#255)
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1027 |
| Epoch Capabilities Index | 142.74 | 112.8 |
| 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% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 41.3 (#72), Qwen-14B: 28.7 (#224)
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Math | 1464 | 1068 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Gemma 4 31B IT: 37.9 (#141), Qwen-14B: —
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1465 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
Gemma 4 31B IT: 41.0 (#32), Qwen-14B: —
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 54.0 (#52), Qwen-14B: 27.7 (#270)
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1431 | 1042 |
| LMArena Chinese | 1478 | 1077 |
| LMArena French | 1436 | — |
| LMArena Russian | 1462 | — |
| LMArena Spanish | 1443 | — |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.6 (#58), Qwen-14B: 52.6 (#284)
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1433 | 1031 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#67), Qwen-14B: 31.3 (#276)
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1446 | 1029 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.7 (#92), Qwen-14B: 27.8 (#294)
| Benchmark | Gemma 4 31B IT | Qwen-14B |
|---|---|---|
| LMArena Text | 1443 | 1051 |
| LMArena Creative Writing | 1416 | 1028 |
| LMArena Multi-Turn | 1452 | 1022 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Qwen-14B?
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 30.8 on the Noometry Index.
Is Gemma 4 31B IT or Qwen-14B better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 30.6 in the Noometry coding category.
How many benchmarks do Gemma 4 31B IT and Qwen-14B share?
11 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen-14B has 18.