Model comparison
Gemma 4 31B IT vs Qwen2.5 7B Instruct
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 28.6 on the Noometry Index.
Last verified . 6 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 6 benchmarks with published results for both. Gemma 4 31B IT scores higher in 6 categories and Qwen2.5 7B Instruct in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 31B IT leads 41.3 to 11.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.3% for Gemma 4 31B IT and 2.5% for Qwen2.5 7B Instruct.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
- Gemma 4 31B IT accepts more context: 262K tokens versus 131K.
Side by side
| Gemma 4 31B IT | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 43.2 | 28.6 |
| Released | 2026-04-02 | 2024-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 33K | 8K |
| Input $ / M tokens | $0.09 | $0.17 |
| Output $ / M tokens | $0.34 | $0.70 |
| Results tracked | 35 | 15 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 41.9 (#98), Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1364 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1459 | — |
| BigCodeBench Complete | — | 46.1% |
| ALE-Bench | 925.5 | — |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 26.4 (#119), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | 5% | 0% |
| DTBench | 82.7% | 47.7% |
| LMCA | 39.3% | 6.4% |
| Epoch Capabilities Index | 142.74 | 118.44 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Thematic Generalization | 53% | — |
| LMArena Hard Prompts | 1448 | — |
| Surface Evolver Bench | 30.6% | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 41.3 (#72), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1464 | — |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#141), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 75.8% | 35.5% |
| SimpleQA Verified | 10.4% | — |
| MMLU-Pro | — | 53.9% |
| Vectara Hallucination Rate | 7.4% | — |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1465 | — |
| MMLU | — | 72.9% |
Multimodal Not comparable
Gemma 4 31B IT: 41.0 (#32), Qwen2.5 7B Instruct: —
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |
Multilingual Not comparable
Gemma 4 31B IT: 54.0 (#52), Qwen2.5 7B Instruct: —
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1431 | — |
| LMArena Chinese | 1478 | — |
| LMArena French | 1436 | — |
| LMArena Russian | 1462 | — |
| LMArena Spanish | 1443 | — |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.6 (#58), Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1433 | — |
Long Context Not comparable
Gemma 4 31B IT: 44.2 (#67), Qwen2.5 7B Instruct: —
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1446 | — |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.7 (#92), Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | Gemma 4 31B IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1443 | — |
| LMArena Creative Writing | 1416 | — |
| EQ-Bench Creative Writing | 1368 | — |
| WildBench | — | 73.1% |
| EQ-Bench 4 | 1120 | — |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Qwen2.5 7B Instruct?
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 28.6 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or Qwen2.5 7B Instruct?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.
Is Gemma 4 31B IT or Qwen2.5 7B Instruct better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 31B IT does, with 262K tokens against 131K.
How many benchmarks do Gemma 4 31B IT and Qwen2.5 7B Instruct share?
6 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen2.5 7B Instruct has 15.