Model comparison
Gemma 2 2b IT vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 32.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Gemma 2 2b IT scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.2 to 36.6.
Side by side
| Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 32.5 | 42.5 |
| Released | — | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 17 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 31.8 (#268), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1112 | 1441 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 20.5 (#219), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
Math Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 30.1 (#212), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1135 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 29.3 (#229), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1096 | 1416 |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 32.5 (#252), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1121 | 1407 |
| LMArena Chinese | 1132 | 1461 |
| LMArena French | 1156 | 1415 |
| LMArena German | 1114 | 1416 |
| LMArena Japanese | 1083 | 1398 |
| LMArena Korean | 1055 | 1366 |
| LMArena Russian | 1118 | 1403 |
| LMArena Spanish | 1140 | 1436 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 58.1 (#258), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1118 | 1388 |
| IFEval | — | 81% |
Long Context Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 34.2 (#245), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1130 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Gemma 2 2b IT: 36.6 (#258), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Gemma 2 2b IT | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1156 | 1417 |
| LMArena Creative Writing | 1147 | 1333 |
| LMArena Multi-Turn | 1118 | 1415 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Gemma 2 2b IT better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 32.5 on the Noometry Index.
Is Gemma 2 2b IT or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 31.8 in the Noometry coding category.
How many benchmarks do Gemma 2 2b IT and Qwen3-Next 80B-A3B Instruct share?
17 benchmarks have published results for both models. Gemma 2 2b IT has 17 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.