Model comparison
Gemma 2 9B vs Qwen3 Coder Next
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 25.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
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Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen3 Coder Next leads 36.3 to 29.4.
Side by side
| Gemma 2 9B | Qwen3 Coder Next | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 25.9 | 34.3 |
| Released | 2024-06-24 | 2026-02-02 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 35 | 3 |
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Category by category
Coding Qwen3 Coder Next leads
Gemma 2 9B: 29.4 (#304), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| LMArena Coding | 1173 | — |
| BigCodeBench Complete | 40.6% | — |
Reasoning Qwen3 Coder Next leads
Gemma 2 9B: 15.9 (#309), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| CritPt | — | 0% |
| LiveBench Reasoning | 15.2% | — |
| LMArena Hard Prompts | 1171 | — |
| LiveBench Data Analysis | 36.4% | — |
| Epoch Capabilities Index | 119.83 | — |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math Not comparable
Gemma 2 9B: 9.9 (#318), Qwen3 Coder Next: —
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| LiveBench Math | 19.8% | — |
| LMArena Math | 1183 | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |
Knowledge Not comparable
Gemma 2 9B: 9.7 (#305), Qwen3 Coder Next: —
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 27.5% | — |
| LMArena Expert | 1147 | — |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multilingual Not comparable
Gemma 2 9B: 36.6 (#238), Qwen3 Coder Next: —
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1188 | — |
| LMArena Chinese | 1185 | — |
| LMArena French | 1190 | — |
| LMArena German | 1186 | — |
| LMArena Japanese | 1144 | — |
| LMArena Korean | 1137 | — |
| LMArena Russian | 1200 | — |
| LMArena Spanish | 1200 | — |
Instruction Following Not comparable
Gemma 2 9B: 57.6 (#269), Qwen3 Coder Next: —
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| LiveBench Instruction Following | 52.6% | — |
| LMArena Instruction Following | 1178 | — |
Long Context Not comparable
Gemma 2 9B: 36.3 (#233), Qwen3 Coder Next: —
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1197 | — |
Writing & Preference Not comparable
Gemma 2 9B: 32.1 (#281), Qwen3 Coder Next: —
| Benchmark | Gemma 2 9B | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1207 | — |
| LMArena Creative Writing | 1206 | — |
| EQ-Bench Creative Writing | 841 | — |
| LMArena Multi-Turn | 1193 | — |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than Qwen3 Coder Next?
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 25.9 on the Noometry Index.
Is Gemma 2 9B or Qwen3 Coder Next better for coding?
Qwen3 Coder Next scores higher on coding benchmarks: 36.3 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2 9B and Qwen3 Coder Next share?
0 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and Qwen3 Coder Next has 3.