Model comparison
Gemma 3n E4b IT vs GLM-4.5
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 1 category and GLM-4.5 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 52.8 to 43.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 57.9% for GLM-4.5.
Side by side
| Gemma 3n E4b IT | GLM-4.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.3 | 42.0 |
| Released | — | 2025-07-27 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 18 | 27 |
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Category by category
Coding GLM-4.5 leads
Gemma 3n E4b IT: 37.0 (#198), GLM-4.5: 41.4 (#125)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| LMArena Coding | 1268 | 1434 |
| SWE-bench Verified (bash only) | — | 54.2% |
| WeirdML | — | 40.6% |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |
Reasoning GLM-4.5 leads
Gemma 3n E4b IT: 19.9 (#247), GLM-4.5: 28.6 (#100)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 57.9% |
| LMArena Hard Prompts | 1284 | 1429 |
Math GLM-4.5 leads
Gemma 3n E4b IT: 35.1 (#188), GLM-4.5: 39.0 (#116)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| LMArena Math | 1251 | 1427 |
Knowledge GLM-4.5 leads
Gemma 3n E4b IT: 34.2 (#198), GLM-4.5: 35.9 (#179)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| LMArena Expert | 1246 | 1433 |
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
Multilingual GLM-4.5 leads
Gemma 3n E4b IT: 43.4 (#183), GLM-4.5: 52.8 (#77)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1285 | 1417 |
| LMArena Chinese | 1309 | 1465 |
| LMArena French | 1330 | 1418 |
| LMArena German | 1311 | 1407 |
| LMArena Japanese | 1272 | 1415 |
| LMArena Korean | 1259 | 1380 |
| LMArena Russian | 1288 | 1414 |
| LMArena Spanish | 1305 | 1454 |
Instruction Following GLM-4.5 leads
Gemma 3n E4b IT: 66.1 (#210), GLM-4.5: 74.1 (#104)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1255 | 1404 |
Long Context Too close to call
Gemma 3n E4b IT: 38.7 (#191), GLM-4.5: 38.2 (#201)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| LMArena Longer Query | 1276 | 1412 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference GLM-4.5 leads
Gemma 3n E4b IT: 50.1 (#186), GLM-4.5: 57.5 (#127)
| Benchmark | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| LMArena Text | 1306 | 1430 |
| LMArena Creative Writing | 1287 | 1395 |
| LMArena Multi-Turn | 1276 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
Frequently asked questions
Is Gemma 3n E4b IT better than GLM-4.5?
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or GLM-4.5 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GLM-4.5 share?
18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GLM-4.5 has 27.