# Gemma 2 2b IT vs GLM-4.6

> GLM-4.6 is the stronger model overall, scoring 40.9 to 32.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2-2b-it-vs-glm-4-6
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemma 2 2b IT scores higher in 0 categories and GLM-4.6 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 36.6.

## Snapshot

| | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 32.5 | 40.9 |
| Rank | 244 | 132 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Open | Open |

## Coding

- Gemma 2 2b IT: 31.8 (#268)
- GLM-4.6: 39.9 (#137)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1112 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1339 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |

## Agentic & Tool Use

- Gemma 2 2b IT: —
- GLM-4.6: 32.1 (#60)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |

## Reasoning

- Gemma 2 2b IT: 20.5 (#219)
- GLM-4.6: 23.1 (#168)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |

## Math

- Gemma 2 2b IT: 30.1 (#212)
- GLM-4.6: 36.4 (#115)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Math | 1135 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Gemma 2 2b IT: 29.3 (#229)
- GLM-4.6: 39.6 (#118)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1096 | 1432 |
| Vectara Hallucination Rate | — | 9.5% |

## Multilingual

- Gemma 2 2b IT: 32.5 (#252)
- GLM-4.6: 53.6 (#62)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1121 | 1426 |
| LMArena Chinese | 1132 | 1500 |
| LMArena French | 1156 | 1459 |
| LMArena German | 1114 | 1447 |
| LMArena Japanese | 1083 | 1394 |
| LMArena Korean | 1055 | 1401 |
| LMArena Russian | 1118 | 1418 |
| LMArena Spanish | 1140 | 1436 |

## Instruction Following

- Gemma 2 2b IT: 58.1 (#258)
- GLM-4.6: 74.5 (#93)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1118 | 1410 |

## Long Context

- Gemma 2 2b IT: 34.2 (#245)
- GLM-4.6: 43.4 (#91)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1130 | 1423 |

## Writing & Preference

- Gemma 2 2b IT: 36.6 (#258)
- GLM-4.6: 61.3 (#86)

| Benchmark | Gemma 2 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Text | 1156 | 1440 |
| LMArena Creative Writing | 1147 | 1411 |
| LMArena Multi-Turn | 1118 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |

## FAQ

### Is Gemma 2 2b IT better than GLM-4.6?

GLM-4.6 is the stronger model overall, scoring 40.9 to 32.5 on the Noometry Index.

### Is Gemma 2 2b IT or GLM-4.6 better for coding?

GLM-4.6 scores higher on coding benchmarks: 39.9 versus 31.8 in the Noometry coding category.

### How many benchmarks do Gemma 2 2b IT and GLM-4.6 share?

17 benchmarks have published results for both models. Gemma 2 2b IT has 17 scored results on Noometry and GLM-4.6 has 29.