Model comparison
Gemma 3n E4b IT vs GLM-4.5-Air
GLM-4.5-Air is the stronger model overall, scoring 38.9 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-Air in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 50.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 43% for GLM-4.5-Air.
Side by side
| Gemma 3n E4b IT | GLM-4.5-Air | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.3 | 38.9 |
| Released | — | 2025-07-20 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.20 |
| Output $ / M tokens | — | $1.10 |
| Results tracked | 18 | 27 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), GLM-4.5-Air: 33.3 (#259)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1268 | 1397 |
| GSO | — | 2.9% |
Reasoning GLM-4.5-Air leads
Gemma 3n E4b IT: 19.9 (#247), GLM-4.5-Air: 24.1 (#166)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 43% |
| LMArena Hard Prompts | 1284 | 1379 |
| ForecastBench | — | 59.2 |
Math GLM-4.5-Air leads
Gemma 3n E4b IT: 35.1 (#188), GLM-4.5-Air: 36.2 (#170)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Math | 1251 | 1396 |
| Omni-MATH | — | 39.1% |
Knowledge Too close to call
Gemma 3n E4b IT: 34.2 (#198), GLM-4.5-Air: 35.0 (#191)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Expert | 1246 | 1370 |
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | — | 76.2% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 59.4% |
Multilingual GLM-4.5-Air leads
Gemma 3n E4b IT: 43.4 (#183), GLM-4.5-Air: 49.1 (#135)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1285 | 1366 |
| LMArena Chinese | 1309 | 1426 |
| LMArena French | 1330 | 1399 |
| LMArena German | 1311 | 1377 |
| LMArena Japanese | 1272 | 1348 |
| LMArena Korean | 1259 | 1308 |
| LMArena Russian | 1288 | 1373 |
| LMArena Spanish | 1305 | 1386 |
Instruction Following GLM-4.5-Air leads
Gemma 3n E4b IT: 66.1 (#210), GLM-4.5-Air: 69.6 (#171)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Instruction Following | 1255 | 1354 |
| IFEval | — | 81.2% |
Long Context GLM-4.5-Air leads
Gemma 3n E4b IT: 38.7 (#191), GLM-4.5-Air: 41.6 (#135)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1276 | 1366 |
Writing & Preference GLM-4.5-Air leads
Gemma 3n E4b IT: 50.1 (#186), GLM-4.5-Air: 55.9 (#139)
| Benchmark | Gemma 3n E4b IT | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1306 | 1384 |
| LMArena Creative Writing | 1287 | 1343 |
| LMArena Multi-Turn | 1276 | 1371 |
| WildBench | — | 78.9% |
Frequently asked questions
Is Gemma 3n E4b IT better than GLM-4.5-Air?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or GLM-4.5-Air better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 33.3 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GLM-4.5-Air share?
18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GLM-4.5-Air has 27.