Model comparison
Gemma 4 31B IT vs Qwen3.5-Flash
Gemma 4 31B IT and Qwen3.5-Flash score almost the same on the Noometry Index (43.2 vs 42.3), so choose on price, context window or the category you care about most.
Last verified . 24 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 24 benchmarks with published results for both. Gemma 4 31B IT scores higher in 6 categories and Qwen3.5-Flash in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemma 4 31B IT leads 41.9 to 33.9.
- The biggest single-benchmark swing is Chess Puzzles: 5% for Gemma 4 31B IT and 21% for Qwen3.5-Flash.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.10 / $0.40 for Qwen3.5-Flash.
- Qwen3.5-Flash accepts more context: 1M tokens versus 262K.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 4 31B IT | Qwen3.5-Flash | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 43.2 | 42.3 |
| Released | 2026-04-02 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 33K | 66K |
| Input $ / M tokens | $0.09 | $0.10 |
| Output $ / M tokens | $0.34 | $0.40 |
| Results tracked | 35 | 32 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 41.9 (#98), Qwen3.5-Flash: 33.9 (#234)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1364 | 1243 |
| LMArena Coding | 1459 | 1412 |
| ALE-Bench | 925.5 | 221.8 |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, Qwen3.5-Flash: —
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Gemma 4 31B IT: 26.4 (#119), Qwen3.5-Flash: 32.9 (#63)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 5% | 21% |
| LMArena Hard Prompts | 1448 | 1404 |
| DTBench | 82.7% | 82.9% |
| LMCA | 39.3% | 29.1% |
| Epoch Capabilities Index | 142.74 | 143.98 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Thematic Generalization | 53% | — |
| Mystery Game Puzzles | — | 20% |
| Surface Evolver Bench | 30.6% | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 41.3 (#72), Qwen3.5-Flash: 36.3 (#117)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 84.4% |
| LMArena Math | 1464 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.5-Flash leads
Gemma 4 31B IT: 37.9 (#141), Qwen3.5-Flash: 43.2 (#84)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 75.8% | 82.3% |
| SimpleQA Verified | 10.4% | 20.3% |
| Vectara Hallucination Rate | 7.4% | 10.5% |
| LMArena Expert | 1465 | 1408 |
Multimodal Not comparable
Gemma 4 31B IT: 41.0 (#32), Qwen3.5-Flash: —
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 54.0 (#52), Qwen3.5-Flash: 50.7 (#116)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1431 | 1385 |
| LMArena Chinese | 1478 | 1446 |
| LMArena French | 1436 | 1412 |
| LMArena Russian | 1462 | 1379 |
| LMArena Spanish | 1443 | 1399 |
| LMArena German | — | 1389 |
| LMArena Japanese | — | 1369 |
| LMArena Korean | — | 1344 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.6 (#58), Qwen3.5-Flash: 72.8 (#133)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1433 | 1374 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#67), Qwen3.5-Flash: 42.4 (#119)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1446 | 1392 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.7 (#92), Qwen3.5-Flash: 58.2 (#117)
| Benchmark | Gemma 4 31B IT | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1443 | 1397 |
| LMArena Creative Writing | 1416 | 1343 |
| LMArena Multi-Turn | 1452 | 1393 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Qwen3.5-Flash?
Gemma 4 31B IT and Qwen3.5-Flash score almost the same on the Noometry Index (43.2 vs 42.3), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 4 31B IT or Qwen3.5-Flash?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Qwen3.5-Flash lists at $0.10 and $0.40.
Is Gemma 4 31B IT or Qwen3.5-Flash better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 33.9 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-Flash does, with 1M tokens against 262K.
How many benchmarks do Gemma 4 31B IT and Qwen3.5-Flash share?
24 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen3.5-Flash has 32.