Model comparison
Gemma 3n E4b IT vs GLM-5V-Turbo
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.3 on the Noometry Index.
Last verified . 16 shared benchmarks.
GoogleSummary
- They share 16 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and GLM-5V-Turbo in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 50.1.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GLM-5V-Turbo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.3 | 43.8 |
| Released | — | 2026-04-01 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $4 |
| Results tracked | 18 | 19 |
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Category by category
Coding GLM-5V-Turbo leads
Gemma 3n E4b IT: 37.0 (#198), GLM-5V-Turbo: 42.1 (#111)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Coding | 1268 | 1466 |
| LMArena WebDev | — | 1401 |
Reasoning GLM-5V-Turbo leads
Gemma 3n E4b IT: 19.9 (#247), GLM-5V-Turbo: 29.7 (#89)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1443 |
| Kagi LLM Benchmark | 31.5% | — |
Math GLM-5V-Turbo leads
Gemma 3n E4b IT: 35.1 (#188), GLM-5V-Turbo: 39.4 (#106)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | 1251 | 1441 |
Knowledge GLM-5V-Turbo leads
Gemma 3n E4b IT: 34.2 (#198), GLM-5V-Turbo: 40.6 (#117)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Expert | 1246 | 1452 |
Multimodal Not comparable
Gemma 3n E4b IT: —, GLM-5V-Turbo: 40.9 (#42)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Vision | — | 1264 |
| LMArena Document | — | 1416 |
Multilingual GLM-5V-Turbo leads
Gemma 3n E4b IT: 43.4 (#183), GLM-5V-Turbo: 53.0 (#73)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | 1285 | 1420 |
| LMArena Chinese | 1309 | 1488 |
| LMArena French | 1330 | 1444 |
| LMArena German | 1311 | 1423 |
| LMArena Korean | 1259 | 1396 |
| LMArena Russian | 1288 | 1431 |
| LMArena Spanish | 1305 | 1450 |
| LMArena Japanese | 1272 | — |
Instruction Following GLM-5V-Turbo leads
Gemma 3n E4b IT: 66.1 (#210), GLM-5V-Turbo: 75.0 (#80)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | 1255 | 1423 |
Long Context GLM-5V-Turbo leads
Gemma 3n E4b IT: 38.7 (#191), GLM-5V-Turbo: 44.0 (#80)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | 1276 | 1438 |
Writing & Preference GLM-5V-Turbo leads
Gemma 3n E4b IT: 50.1 (#186), GLM-5V-Turbo: 62.5 (#73)
| Benchmark | Gemma 3n E4b IT | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | 1306 | 1437 |
| LMArena Creative Writing | 1287 | 1416 |
| LMArena Multi-Turn | 1276 | 1432 |
Frequently asked questions
Is Gemma 3n E4b IT better than GLM-5V-Turbo?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or GLM-5V-Turbo better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GLM-5V-Turbo share?
16 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GLM-5V-Turbo has 19.