Model comparison
Gemma 3n E4b IT vs GLM-5
GLM-5 is the stronger model overall, scoring 46.1 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 0 categories and GLM-5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5 leads 52.3 to 34.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 75% for GLM-5.
Side by side
| Gemma 3n E4b IT | GLM-5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 37.3 | 46.1 |
| Released | — | 2026-02-11 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 18 | 45 |
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Category by category
Coding GLM-5 leads
Gemma 3n E4b IT: 37.0 (#198), GLM-5: 49.0 (#52)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| LMArena Coding | 1268 | 1461 |
| SWE-bench Verified | — | 72.1% |
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1434 |
| SWE-bench Multilingual | — | 69.7% |
| WeirdML | — | 48.2% |
| ALE-Bench | — | 765.62 |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, GLM-5: 31.1 (#71)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| Terminal-Bench | — | 52.4% |
| τ²-bench Airline | — | 82.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 73.7% |
| τ²-bench Telecom | — | 86.8% |
| Vending-Bench 2 | — | 4,432 |
Reasoning GLM-5 leads
Gemma 3n E4b IT: 19.9 (#247), GLM-5: 27.6 (#116)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 75% |
| LMArena Hard Prompts | 1284 | 1452 |
| ARC-AGI-2 | — | 4.9% |
| SimpleBench | — | 53.2% |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | — | 44.7% |
| Chess Puzzles | — | 10% |
| Epoch Capabilities Index | — | 145.83 |
| ForecastBench | — | 61 |
Math GLM-5 leads
Gemma 3n E4b IT: 35.1 (#188), GLM-5: 46.4 (#71)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| LMArena Math | 1251 | 1440 |
| MathArena Final-Answer Competitions | — | 65.7% |
| OTIS Mock AIME 2024-2025 | — | 80% |
| FrontierMath (Feb 2025 set) | — | 16.4% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-5 leads
Gemma 3n E4b IT: 34.2 (#198), GLM-5: 52.3 (#64)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| LMArena Expert | 1246 | 1454 |
| GPQA Diamond | — | 87.8% |
| Vectara Hallucination Rate | — | 10.1% |
Multilingual GLM-5 leads
Gemma 3n E4b IT: 43.4 (#183), GLM-5: 53.7 (#58)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| LMArena Non-English | 1285 | 1430 |
| LMArena Chinese | 1309 | 1511 |
| LMArena French | 1330 | 1455 |
| LMArena German | 1311 | 1445 |
| LMArena Japanese | 1272 | 1416 |
| LMArena Korean | 1259 | 1423 |
| LMArena Russian | 1288 | 1436 |
| LMArena Spanish | 1305 | 1454 |
Instruction Following GLM-5 leads
Gemma 3n E4b IT: 66.1 (#210), GLM-5: 75.2 (#67)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| LMArena Instruction Following | 1255 | 1428 |
Long Context GLM-5 leads
Gemma 3n E4b IT: 38.7 (#191), GLM-5: 44.7 (#60)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| LMArena Longer Query | 1276 | 1446 |
| CL-bench | — | 18.7% |
Writing & Preference GLM-5 leads
Gemma 3n E4b IT: 50.1 (#186), GLM-5: 66.0 (#38)
| Benchmark | Gemma 3n E4b IT | GLM-5 |
|---|---|---|
| LMArena Text | 1306 | 1446 |
| LMArena Creative Writing | 1287 | 1439 |
| LMArena Multi-Turn | 1276 | 1456 |
| EQ-Bench Creative Writing | — | 1601 |
Frequently asked questions
Is Gemma 3n E4b IT better than GLM-5?
GLM-5 is the stronger model overall, scoring 46.1 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or GLM-5 better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GLM-5 share?
18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GLM-5 has 45.