# Gemma 3 4B vs GLM-4.7

> GLM-4.7 is the stronger model overall, scoring 42.0 to 28.1 on the Noometry Index. Gemma 3 4B costs 20× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-glm-4-7
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GLM-4.7 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 11.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.5% for Gemma 3 4B and 83.3% for GLM-4.7.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- GLM-4.7 accepts more context: 205K tokens versus 131K.

## Snapshot

| | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 28.1 | 42.0 |
| Rank | 326 | 124 |
| Context | 131K | 205K |
| Input $/M | $0.04 | $0.60 |
| Output $/M | $0.08 | $2.20 |
| Weights | Open | Open |

## Coding

- Gemma 3 4B: 35.9 (#215)
- GLM-4.7: 44.0 (#79)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| LMArena Coding | 1230 | 1454 |
| LMArena WebDev | — | 1435 |
| SciCode | — | 45.1% |
| ALE-Bench | — | 399.48 |

## Agentic & Tool Use

- Gemma 3 4B: 20.9 (#142)
- GLM-4.7: 26.5 (#103)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Berkeley Function Calling Leaderboard | 19.6% | — |
| Vending-Bench 2 | — | 2,377 |

## Reasoning

- Gemma 3 4B: 13.2 (#335)
- GLM-4.7: 24.3 (#164)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| Chess Puzzles | 0% | 6% |
| LMArena Hard Prompts | 1253 | 1443 |
| Epoch Capabilities Index | 116.02 | 143.51 |
| SimpleBench | — | 47.7% |
| Kagi LLM Benchmark | 25.2% | — |
| CritPt | — | 1.7% |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |

## Math

- Gemma 3 4B: 16.8 (#292)
- GLM-4.7: 38.6 (#135)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 83.3% |
| LMArena Math | 1239 | 1423 |
| ProofBench | — | 6% |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Gemma 3 4B: 11.8 (#299)
- GLM-4.7: 47.0 (#80)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| GPQA Diamond | 23.2% | 83.3% |
| Vectara Hallucination Rate | 6.4% | 11.7% |
| LMArena Expert | 1223 | 1424 |
| SimpleQA Verified | — | 32.2% |

## Multilingual

- Gemma 3 4B: 42.5 (#194)
- GLM-4.7: 52.8 (#79)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| LMArena Non-English | 1273 | 1417 |
| LMArena German | 1281 | 1424 |
| LMArena Russian | 1294 | 1423 |
| LMArena Chinese | — | 1495 |
| LMArena French | — | 1432 |
| LMArena Japanese | — | 1439 |
| LMArena Korean | — | 1399 |
| LMArena Spanish | — | 1434 |

## Instruction Following

- Gemma 3 4B: 65.2 (#225)
- GLM-4.7: 74.4 (#95)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | 1239 | 1411 |

## Long Context

- Gemma 3 4B: 38.7 (#194)
- GLM-4.7: 42.8 (#116)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| LMArena Longer Query | 1273 | 1432 |
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |

## Writing & Preference

- Gemma 3 4B: 42.0 (#239)
- GLM-4.7: 60.9 (#93)

| Benchmark | Gemma 3 4B | GLM-4.7 |
|---|---|---|
| LMArena Text | 1291 | 1435 |
| LMArena Creative Writing | 1271 | 1401 |
| EQ-Bench Creative Writing | 1068 | 1413 |
| LMArena Multi-Turn | 1255 | 1446 |

## FAQ

### Is Gemma 3 4B better than GLM-4.7?

GLM-4.7 is the stronger model overall, scoring 42.0 to 28.1 on the Noometry Index. Gemma 3 4B costs 20× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 4B or GLM-4.7?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

### Is Gemma 3 4B or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 131K.

### How many benchmarks do Gemma 3 4B and GLM-4.7 share?

18 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GLM-4.7 has 36.