Model comparison
Gemma 2 9B vs GLM-4.5V
GLM-4.5V is the stronger model overall, scoring 39.8 to 25.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemma 2 9B scores higher in 0 categories and GLM-4.5V in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5V leads 37.5 to 9.7.
Side by side
| Gemma 2 9B | GLM-4.5V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 25.9 | 39.8 |
| Released | 2024-06-24 | 2025-08-11 |
| Weights | Open | Open |
| Context window | — | 64K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $1.80 |
| Results tracked | 35 | 15 |
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Category by category
Coding GLM-4.5V leads
Gemma 2 9B: 29.4 (#304), GLM-4.5V: 39.5 (#155)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1173 | 1347 |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
Reasoning GLM-4.5V leads
Gemma 2 9B: 15.9 (#309), GLM-4.5V: 27.4 (#119)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Hard Prompts | 1171 | 1334 |
| Kagi LLM Benchmark | — | 59.8% |
| LiveBench Reasoning | 15.2% | — |
| LiveBench Data Analysis | 36.4% | — |
| Epoch Capabilities Index | 119.83 | — |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math GLM-4.5V leads
Gemma 2 9B: 9.9 (#318), GLM-4.5V: 37.4 (#159)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Math | 1183 | 1354 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| LiveBench Math | 19.8% | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |
Knowledge GLM-4.5V leads
Gemma 2 9B: 9.7 (#305), GLM-4.5V: 37.5 (#156)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1147 | 1353 |
| GPQA Diamond | 27.5% | — |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multimodal Not comparable
Gemma 2 9B: —, GLM-4.5V: 34.3 (#92)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Vision | — | 1154 |
Multilingual GLM-4.5V leads
Gemma 2 9B: 36.6 (#238), GLM-4.5V: 44.6 (#177)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1188 | 1303 |
| LMArena Chinese | 1185 | 1337 |
| LMArena Russian | 1200 | 1298 |
| LMArena Spanish | 1200 | 1336 |
| LMArena French | 1190 | — |
| LMArena German | 1186 | — |
| LMArena Japanese | 1144 | — |
| LMArena Korean | 1137 | — |
Instruction Following GLM-4.5V leads
Gemma 2 9B: 57.6 (#269), GLM-4.5V: 69.2 (#175)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1178 | 1311 |
| LiveBench Instruction Following | 52.6% | — |
Long Context GLM-4.5V leads
Gemma 2 9B: 36.3 (#233), GLM-4.5V: 39.6 (#171)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1197 | 1304 |
Writing & Preference GLM-4.5V leads
Gemma 2 9B: 32.1 (#281), GLM-4.5V: 52.5 (#170)
| Benchmark | Gemma 2 9B | GLM-4.5V |
|---|---|---|
| LMArena Text | 1207 | 1333 |
| LMArena Creative Writing | 1206 | 1295 |
| LMArena Multi-Turn | 1193 | 1332 |
| EQ-Bench Creative Writing | 841 | — |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than GLM-4.5V?
GLM-4.5V is the stronger model overall, scoring 39.8 to 25.9 on the Noometry Index.
Is Gemma 2 9B or GLM-4.5V better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2 9B and GLM-4.5V share?
13 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and GLM-4.5V has 15.