Model comparison
Gemma 2 9B vs Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.4 to 25.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
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Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen2.5-VL 72B Instruct leads 20.0 to 15.3.
Side by side
| Gemma 2 9B | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 25.7 | 29.4 |
| Released | 2024-06-24 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $2.80 |
| Output $ / M tokens | — | $8.40 |
| Results tracked | 35 | 6 |
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Category by category
Coding Not comparable
Gemma 2 9B: 29.0 (#299), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| LMArena Coding | 1174 | — |
| BigCodeBench Complete | 40.6% | — |
Agentic & Tool Use Not comparable
Gemma 2 9B: —, Qwen2.5-VL 72B Instruct: 18.4 (#136)
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning Qwen2.5-VL 72B Instruct leads
Gemma 2 9B: 15.3 (#306), Qwen2.5-VL 72B Instruct: 20.0 (#228)
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| LiveBench Reasoning | 15.2% | — |
| LMArena Hard Prompts | 1172 | — |
| LiveBench Data Analysis | 36.4% | — |
| Epoch Capabilities Index | 119.78 | — |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math Not comparable
Gemma 2 9B: 9.3 (#312), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| 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 (#300), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| GPQA Diamond | 27.5% | — |
| LMArena Expert | 1147 | — |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multimodal Not comparable
Gemma 2 9B: —, Qwen2.5-VL 72B Instruct: 32.9 (#92)
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Gemma 2 9B: 36.8 (#233), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1188 | — |
| LMArena Chinese | 1185 | — |
| LMArena French | 1189 | — |
| LMArena German | 1186 | — |
| LMArena Japanese | 1144 | — |
| LMArena Korean | 1137 | — |
| LMArena Russian | 1200 | — |
| LMArena Spanish | 1200 | — |
Instruction Following Not comparable
Gemma 2 9B: 57.8 (#264), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LiveBench Instruction Following | 52.6% | — |
| LMArena Instruction Following | 1178 | — |
Long Context Not comparable
Gemma 2 9B: 36.3 (#228), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1197 | — |
Writing & Preference Not comparable
Gemma 2 9B: 32.3 (#276), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemma 2 9B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| 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 Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.4 to 25.7 on the Noometry Index.
How many benchmarks do Gemma 2 9B and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.