# Gemma 3 4B vs Qwen1.5-7B

> Qwen1.5-7B is the stronger model overall, scoring 30.8 to 27.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-qwen1-5-7b
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Gemma 3 4B scores higher in 5 categories and Qwen1.5-7B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-7B leads 28.2 to 11.8.

## Snapshot

| | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 27.9 | 30.8 |
| Rank | 320 | 270 |
| Context | 131K | — |
| Input $/M | $0.04 | — |
| Output $/M | $0.08 | — |
| Weights | Open | Open |

## Coding

- Gemma 3 4B: 35.3 (#214)
- Qwen1.5-7B: 31.6 (#271)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1230 | 1107 |

## Agentic & Tool Use

- Gemma 3 4B: 20.7 (#134)
- Qwen1.5-7B: —

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |

## Reasoning

- Gemma 3 4B: 12.7 (#330)
- Qwen1.5-7B: 19.5 (#237)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1066 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |

## Math

- Gemma 3 4B: 15.8 (#286)
- Qwen1.5-7B: 29.0 (#222)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1239 | 1080 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |

## Knowledge

- Gemma 3 4B: 11.8 (#294)
- Qwen1.5-7B: 28.2 (#239)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1223 | 1055 |
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |
| MMLU | — | 62.6% |

## Multilingual

- Gemma 3 4B: 42.7 (#189)
- Qwen1.5-7B: 28.6 (#266)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1273 | 1058 |
| LMArena Russian | 1294 | 1006 |
| LMArena Chinese | — | 1140 |
| LMArena German | 1281 | — |

## Instruction Following

- Gemma 3 4B: 65.4 (#219)
- Qwen1.5-7B: 54.4 (#276)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1058 |

## Long Context

- Gemma 3 4B: 38.6 (#189)
- Qwen1.5-7B: 33.1 (#261)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1274 | 1090 |

## Writing & Preference

- Gemma 3 4B: 42.2 (#234)
- Qwen1.5-7B: 29.8 (#288)

| Benchmark | Gemma 3 4B | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1291 | 1084 |
| LMArena Creative Writing | 1270 | 1035 |
| LMArena Multi-Turn | 1255 | 1061 |
| EQ-Bench Creative Writing | 1068 | — |

## FAQ

### Is Gemma 3 4B better than Qwen1.5-7B?

Qwen1.5-7B is the stronger model overall, scoring 30.8 to 27.9 on the Noometry Index.

### Is Gemma 3 4B or Qwen1.5-7B better for coding?

Gemma 3 4B scores higher on coding benchmarks: 35.3 versus 31.6 in the Noometry coding category.

### How many benchmarks do Gemma 3 4B and Qwen1.5-7B share?

11 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Qwen1.5-7B has 13.