# 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.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-glm-4-5
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- 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.

## Snapshot

| | Gemma 3n E4b IT | GLM-4.5 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 37.3 | 42.0 |
| Rank | 206 | 122 |
| Context | — | 131K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Open | Open |

## Coding

- 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

- 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

- 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

- 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

- 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

- 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

- 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

- 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 |

## FAQ

### 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.