Model comparison
Gemma 2B vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 29.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Gemma 2B scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.0 to 24.0.
Side by side
| Gemma 2B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 29.6 | 43.0 |
| Released | 2024-02-21 | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 23 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Gemma 2B: 29.4 (#305), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1010 | 1440 |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemma 2B: 18.8 (#275), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 989 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| BIG-Bench Hard | 35.2% | — |
| Epoch Capabilities Index | 94.2 | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Gemma 2B: 30.0 (#239), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1009 | 1440 |
| Omni-MATH | — | 46.7% |
| GSM8K | 17.7% | — |
Knowledge Not comparable
Gemma 2B: —, Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Gemma 2B: 23.0 (#294), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 958 | 1407 |
| LMArena Chinese | 986 | 1460 |
| LMArena Russian | 937 | 1404 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Spanish | — | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Gemma 2B: 48.5 (#302), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 970 | 1389 |
| IFEval | — | 81% |
Long Context Qwen3-Next 80B-A3B Instruct leads
Gemma 2B: 29.9 (#291), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 981 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Gemma 2B: 24.0 (#308), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1002 | 1417 |
| LMArena Creative Writing | 987 | 1334 |
| LMArena Multi-Turn | 945 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Gemma 2B better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 29.6 on the Noometry Index.
Is Gemma 2B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2B and Qwen3-Next 80B-A3B Instruct share?
11 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.