# Gemma 1.1 2b IT vs GLM-4.6

> GLM-4.6 is the stronger model overall, scoring 41.4 to 29.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-1-1-2b-it-vs-glm-4-6
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Gemma 1.1 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 61.1 to 25.1.

## Snapshot

| | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 29.3 | 41.4 |
| Rank | 313 | 135 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Open | Open |

## Coding

- Gemma 1.1 2b IT: 30.1 (#299)
- GLM-4.6: 40.1 (#148)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1034 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 17.7% | — |
| MBPP+ | 23.3% | — |

## Agentic & Tool Use

- Gemma 1.1 2b IT: —
- GLM-4.6: 32.3 (#66)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |

## Reasoning

- Gemma 1.1 2b IT: 19.1 (#270)
- GLM-4.6: 23.7 (#172)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1005 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |

## Math

- Gemma 1.1 2b IT: 30.8 (#232)
- GLM-4.6: 39.1 (#111)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Math | 1047 | 1432 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Gemma 1.1 2b IT: 26.5 (#258)
- GLM-4.6: 40.2 (#124)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Expert | 970 | 1431 |
| Vectara Hallucination Rate | — | 9.5% |

## Multilingual

- Gemma 1.1 2b IT: 24.6 (#289)
- GLM-4.6: 53.5 (#66)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 988 | 1426 |
| LMArena Chinese | 1012 | 1499 |
| LMArena German | 944 | 1447 |
| LMArena Korean | 899 | 1400 |
| LMArena Russian | 990 | 1419 |
| LMArena French | — | 1459 |
| LMArena Japanese | — | 1393 |
| LMArena Spanish | — | 1436 |

## Instruction Following

- Gemma 1.1 2b IT: 49.9 (#299)
- GLM-4.6: 74.3 (#98)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 992 | 1410 |

## Long Context

- Gemma 1.1 2b IT: 30.6 (#286)
- GLM-4.6: 43.4 (#94)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1003 | 1422 |

## Writing & Preference

- Gemma 1.1 2b IT: 25.1 (#306)
- GLM-4.6: 61.1 (#90)

| Benchmark | Gemma 1.1 2b IT | GLM-4.6 |
|---|---|---|
| LMArena Text | 1022 | 1440 |
| LMArena Creative Writing | 998 | 1411 |
| LMArena Multi-Turn | 959 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |

## FAQ

### Is Gemma 1.1 2b IT better than GLM-4.6?

GLM-4.6 is the stronger model overall, scoring 41.4 to 29.3 on the Noometry Index.

### Is Gemma 1.1 2b IT or GLM-4.6 better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 30.1 in the Noometry coding category.

### How many benchmarks do Gemma 1.1 2b IT and GLM-4.6 share?

14 benchmarks have published results for both models. Gemma 1.1 2b IT has 16 scored results on Noometry and GLM-4.6 has 29.