# Gemma 3 4B vs GLM-4.5V

> GLM-4.5V is the stronger model overall, scoring 39.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 18× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-glm-4-5v
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GLM-4.5V in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5V leads 37.5 to 11.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 25.2% for Gemma 3 4B and 59.8% for GLM-4.5V.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Gemma 3 4B accepts more context: 131K tokens versus 64K.

## Snapshot

| | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 28.1 | 39.8 |
| Rank | 326 | 158 |
| Context | 131K | 64K |
| Input $/M | $0.04 | $0.60 |
| Output $/M | $0.08 | $1.80 |
| Weights | Open | Open |

## Coding

- Gemma 3 4B: 35.9 (#215)
- GLM-4.5V: 39.5 (#155)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1230 | 1347 |

## Agentic & Tool Use

- Gemma 3 4B: 20.9 (#142)
- GLM-4.5V: —

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |

## Reasoning

- Gemma 3 4B: 13.2 (#335)
- GLM-4.5V: 27.4 (#119)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| Kagi LLM Benchmark | 25.2% | 59.8% |
| LMArena Hard Prompts | 1253 | 1334 |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |

## Math

- Gemma 3 4B: 16.8 (#292)
- GLM-4.5V: 37.4 (#159)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Math | 1239 | 1354 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |

## Knowledge

- Gemma 3 4B: 11.8 (#299)
- GLM-4.5V: 37.5 (#156)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Expert | 1223 | 1353 |
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |

## Multimodal

- Gemma 3 4B: —
- GLM-4.5V: 34.3 (#92)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Vision | — | 1154 |

## Multilingual

- Gemma 3 4B: 42.5 (#194)
- GLM-4.5V: 44.6 (#177)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1273 | 1303 |
| LMArena Russian | 1294 | 1298 |
| LMArena Chinese | — | 1337 |
| LMArena German | 1281 | — |
| LMArena Spanish | — | 1336 |

## Instruction Following

- Gemma 3 4B: 65.2 (#225)
- GLM-4.5V: 69.2 (#175)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1239 | 1311 |

## Long Context

- Gemma 3 4B: 38.7 (#194)
- GLM-4.5V: 39.6 (#171)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1273 | 1304 |

## Writing & Preference

- Gemma 3 4B: 42.0 (#239)
- GLM-4.5V: 52.5 (#170)

| Benchmark | Gemma 3 4B | GLM-4.5V |
|---|---|---|
| LMArena Text | 1291 | 1333 |
| LMArena Creative Writing | 1271 | 1295 |
| LMArena Multi-Turn | 1255 | 1332 |
| EQ-Bench Creative Writing | 1068 | — |

## FAQ

### Is Gemma 3 4B better than GLM-4.5V?

GLM-4.5V is the stronger model overall, scoring 39.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 18× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 4B or GLM-4.5V?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is Gemma 3 4B or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 64K.

### How many benchmarks do Gemma 3 4B and GLM-4.5V share?

12 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GLM-4.5V has 15.