# Gemma 3 4B vs Qwen1.5-72B

> Qwen1.5-72B is the stronger model overall, scoring 30.8 to 28.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-qwen1-5-72b
- Last updated: 2026-10-12
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Gemma 3 4B scores higher in 6 categories and Qwen1.5-72B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5-72B leads 33.2 to 16.8.
- The biggest single-benchmark swing is GPQA Diamond: 23.2% for Gemma 3 4B and 28.8% for Qwen1.5-72B.

## Snapshot

| | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 28.1 | 30.8 |
| Rank | 326 | 285 |
| Context | 131K | — |
| Input $/M | $0.04 | — |
| Output $/M | $0.08 | — |
| Weights | Open | Open |

## Coding

- Gemma 3 4B: 35.9 (#215)
- Qwen1.5-72B: 31.9 (#277)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1230 | 1165 |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |

## Agentic & Tool Use

- Gemma 3 4B: 20.9 (#142)
- Qwen1.5-72B: —

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |

## Reasoning

- Gemma 3 4B: 13.2 (#335)
- Qwen1.5-72B: 22.2 (#203)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1148 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |

## Math

- Gemma 3 4B: 16.8 (#292)
- Qwen1.5-72B: 33.2 (#205)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1239 | 1164 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |

## Knowledge

- Gemma 3 4B: 11.8 (#299)
- Qwen1.5-72B: 11.5 (#300)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | 23.2% | 28.8% |
| LMArena Expert | 1223 | 1136 |
| Vectara Hallucination Rate | 6.4% | — |

## Multilingual

- Gemma 3 4B: 42.5 (#194)
- Qwen1.5-72B: 33.2 (#253)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1273 | 1135 |
| LMArena German | 1281 | 1084 |
| LMArena Russian | 1294 | 1104 |
| LMArena Chinese | — | 1186 |
| LMArena French | — | 1159 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1050 |
| LMArena Spanish | — | 1110 |

## Instruction Following

- Gemma 3 4B: 65.2 (#225)
- Qwen1.5-72B: 59.3 (#256)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1141 |

## Long Context

- Gemma 3 4B: 38.7 (#194)
- Qwen1.5-72B: 35.1 (#243)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1273 | 1157 |

## Writing & Preference

- Gemma 3 4B: 42.0 (#239)
- Qwen1.5-72B: 37.3 (#258)

| Benchmark | Gemma 3 4B | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1291 | 1166 |
| LMArena Creative Writing | 1271 | 1137 |
| LMArena Multi-Turn | 1255 | 1160 |
| EQ-Bench Creative Writing | 1068 | — |

## FAQ

### Is Gemma 3 4B better than Qwen1.5-72B?

Qwen1.5-72B is the stronger model overall, scoring 30.8 to 28.1 on the Noometry Index.

### Is Gemma 3 4B or Qwen1.5-72B better for coding?

Gemma 3 4B scores higher on coding benchmarks: 35.9 versus 31.9 in the Noometry coding category.

### How many benchmarks do Gemma 3 4B and Qwen1.5-72B share?

13 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Qwen1.5-72B has 22.