Model comparison
Gemma 3n E4b IT vs GLM-4.5V
GLM-4.5V is the stronger model overall, scoring 39.8 to 37.3 on the Noometry Index.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and GLM-4.5V in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 19.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 59.8% for GLM-4.5V.
Side by side
| Gemma 3n E4b IT | GLM-4.5V | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.3 | 39.8 |
| Released | — | 2025-08-11 |
| Weights | Open | Open |
| Context window | — | 64K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $1.80 |
| Results tracked | 18 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5V leads
Gemma 3n E4b IT: 37.0 (#198), GLM-4.5V: 39.5 (#155)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1268 | 1347 |
Reasoning GLM-4.5V leads
Gemma 3n E4b IT: 19.9 (#247), GLM-4.5V: 27.4 (#119)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 59.8% |
| LMArena Hard Prompts | 1284 | 1334 |
Math GLM-4.5V leads
Gemma 3n E4b IT: 35.1 (#188), GLM-4.5V: 37.4 (#159)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Math | 1251 | 1354 |
Knowledge GLM-4.5V leads
Gemma 3n E4b IT: 34.2 (#198), GLM-4.5V: 37.5 (#156)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1246 | 1353 |
Multimodal Not comparable
Gemma 3n E4b IT: —, GLM-4.5V: 34.3 (#92)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Vision | — | 1154 |
Multilingual GLM-4.5V leads
Gemma 3n E4b IT: 43.4 (#183), GLM-4.5V: 44.6 (#177)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1285 | 1303 |
| LMArena Chinese | 1309 | 1337 |
| LMArena Russian | 1288 | 1298 |
| LMArena Spanish | 1305 | 1336 |
| LMArena French | 1330 | — |
| LMArena German | 1311 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
Instruction Following GLM-4.5V leads
Gemma 3n E4b IT: 66.1 (#210), GLM-4.5V: 69.2 (#175)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1255 | 1311 |
Long Context Too close to call
Gemma 3n E4b IT: 38.7 (#191), GLM-4.5V: 39.6 (#171)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1276 | 1304 |
Writing & Preference GLM-4.5V leads
Gemma 3n E4b IT: 50.1 (#186), GLM-4.5V: 52.5 (#170)
| Benchmark | Gemma 3n E4b IT | GLM-4.5V |
|---|---|---|
| LMArena Text | 1306 | 1333 |
| LMArena Creative Writing | 1287 | 1295 |
| LMArena Multi-Turn | 1276 | 1332 |
Frequently asked questions
Is Gemma 3n E4b IT better than GLM-4.5V?
GLM-4.5V is the stronger model overall, scoring 39.8 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or GLM-4.5V better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GLM-4.5V share?
14 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GLM-4.5V has 15.