Model comparison
Gemma 4 31B IT vs Qwen3-Next 80B-A3B Instruct
Gemma 4 31B IT and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (43.5 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Gemma 4 31B IT scores higher in 5 categories and Qwen3-Next 80B-A3B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemma 4 31B IT leads 44.2 to 37.0.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Gemma 4 31B IT accepts more context: 262K tokens versus 131K.
Side by side
| Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 43.5 | 43.0 |
| Released | 2026-04-02 | 2025-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 33K | 33K |
| Input $ / M tokens | $0.09 | $0.50 |
| Output $ / M tokens | $0.34 | $2 |
| Results tracked | 35 | 25 |
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Category by category
Coding Too close to call
Gemma 4 31B IT: 42.3 (#108), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1459 | 1440 |
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemma 4 31B IT: 27.2 (#122), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 63.5% | 66.7% |
| LMArena Hard Prompts | 1448 | 1428 |
| 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), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1465 | 1440 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Gemma 4 31B IT: 37.9 (#151), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 7.4% | 9.3% |
| LMArena Expert | 1465 | 1417 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| MMLU-Pro | — | 78.6% |
| GPQA (HELM) | — | 63% |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1431 | 1407 |
| LMArena Chinese | 1476 | 1460 |
| LMArena French | 1435 | 1413 |
| LMArena Russian | 1460 | 1404 |
| LMArena Spanish | 1444 | 1435 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1433 | 1389 |
| IFEval | — | 81% |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#71), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1446 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Gemma 4 31B IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1443 | 1417 |
| LMArena Creative Writing | 1415 | 1334 |
| LMArena Multi-Turn | 1452 | 1416 |
| EQ-Bench Creative Writing | 1368 | — |
| WildBench | — | 80.7% |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Qwen3-Next 80B-A3B Instruct?
Gemma 4 31B IT and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (43.5 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 4 31B IT or Qwen3-Next 80B-A3B Instruct?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Gemma 4 31B IT or Qwen3-Next 80B-A3B Instruct better for coding?
They score almost the same on coding (42.3 vs 42.5); test both on your own repository before choosing.
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 Qwen3-Next 80B-A3B Instruct share?
16 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.