Model comparison
Gemma 3n E4b IT vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 31.1 to 19.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 66.7% for Qwen3-Next 80B-A3B Instruct.
Side by side
| Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 43.0 |
| Released | — | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 18 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Gemma 3n E4b IT: 37.0 (#198), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1268 | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemma 3n E4b IT: 19.9 (#247), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 66.7% |
| LMArena Hard Prompts | 1284 | 1428 |
Math Qwen3-Next 80B-A3B Instruct leads
Gemma 3n E4b IT: 35.1 (#188), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1251 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Gemma 3n E4b IT: 34.2 (#198), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1246 | 1417 |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Gemma 3n E4b IT: 43.4 (#183), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1285 | 1407 |
| LMArena Chinese | 1309 | 1460 |
| LMArena French | 1330 | 1413 |
| LMArena German | 1311 | 1417 |
| LMArena Japanese | 1272 | 1395 |
| LMArena Korean | 1259 | 1364 |
| LMArena Russian | 1288 | 1404 |
| LMArena Spanish | 1305 | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Gemma 3n E4b IT: 66.1 (#210), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1255 | 1389 |
| IFEval | — | 81% |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.7 (#191), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1276 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Gemma 3n E4b IT: 50.1 (#186), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Gemma 3n E4b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1306 | 1417 |
| LMArena Creative Writing | 1287 | 1334 |
| LMArena Multi-Turn | 1276 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Qwen3-Next 80B-A3B Instruct share?
18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.