Model comparison
Gemma 2 9B vs GLM-5V-Turbo
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 25.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Gemma 2 9B scores higher in 0 categories and GLM-5V-Turbo in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5V-Turbo leads 40.6 to 9.7.
- Gemma 2 9B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 9B | GLM-5V-Turbo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 25.9 | 43.8 |
| Released | 2024-06-24 | 2026-04-01 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $4 |
| Results tracked | 35 | 19 |
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Category by category
Coding GLM-5V-Turbo leads
Gemma 2 9B: 29.4 (#304), GLM-5V-Turbo: 42.1 (#111)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Coding | 1173 | 1466 |
| LMArena WebDev | — | 1401 |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
Reasoning GLM-5V-Turbo leads
Gemma 2 9B: 15.9 (#309), GLM-5V-Turbo: 29.7 (#89)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Hard Prompts | 1171 | 1443 |
| LiveBench Reasoning | 15.2% | — |
| LiveBench Data Analysis | 36.4% | — |
| Epoch Capabilities Index | 119.83 | — |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math GLM-5V-Turbo leads
Gemma 2 9B: 9.9 (#318), GLM-5V-Turbo: 39.4 (#106)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | 1183 | 1441 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| LiveBench Math | 19.8% | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |
Knowledge GLM-5V-Turbo leads
Gemma 2 9B: 9.7 (#305), GLM-5V-Turbo: 40.6 (#117)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Expert | 1147 | 1452 |
| GPQA Diamond | 27.5% | — |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multimodal Not comparable
Gemma 2 9B: —, GLM-5V-Turbo: 40.9 (#42)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Vision | — | 1264 |
| LMArena Document | — | 1416 |
Multilingual GLM-5V-Turbo leads
Gemma 2 9B: 36.6 (#238), GLM-5V-Turbo: 53.0 (#73)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | 1188 | 1420 |
| LMArena Chinese | 1185 | 1488 |
| LMArena French | 1190 | 1444 |
| LMArena German | 1186 | 1423 |
| LMArena Korean | 1137 | 1396 |
| LMArena Russian | 1200 | 1431 |
| LMArena Spanish | 1200 | 1450 |
| LMArena Japanese | 1144 | — |
Instruction Following GLM-5V-Turbo leads
Gemma 2 9B: 57.6 (#269), GLM-5V-Turbo: 75.0 (#80)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | 1178 | 1423 |
| LiveBench Instruction Following | 52.6% | — |
Long Context GLM-5V-Turbo leads
Gemma 2 9B: 36.3 (#233), GLM-5V-Turbo: 44.0 (#80)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | 1197 | 1438 |
Writing & Preference GLM-5V-Turbo leads
Gemma 2 9B: 32.1 (#281), GLM-5V-Turbo: 62.5 (#73)
| Benchmark | Gemma 2 9B | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | 1207 | 1437 |
| LMArena Creative Writing | 1206 | 1416 |
| LMArena Multi-Turn | 1193 | 1432 |
| EQ-Bench Creative Writing | 841 | — |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than GLM-5V-Turbo?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 25.9 on the Noometry Index.
Is Gemma 2 9B or GLM-5V-Turbo better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2 9B and GLM-5V-Turbo share?
16 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and GLM-5V-Turbo has 19.