# Llama 3.2 3B vs Qwen3-4B

> Qwen3-4B is the stronger model overall, scoring 31.9 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-2-3b-vs-qwen3-4b
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Llama 3.2 3B scores higher in 2 categories and Qwen3-4B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Qwen3-4B leads 27.6 to 20.1.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 21.9% for Llama 3.2 3B and 35.7% for Qwen3-4B.

## Snapshot

| | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.9 | 31.9 |
| Rank | 321 | 264 |
| Context | 131K | — |
| Input $/M | $0.05 | — |
| Output $/M | $0.33 | — |
| Weights | Open | Open |

## Coding

- Llama 3.2 3B: 27.6 (#319)
- Qwen3-4B: —

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |

## Agentic & Tool Use

- Llama 3.2 3B: 20.1 (#143)
- Qwen3-4B: 27.6 (#100)

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | 35.7% |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 21.0 (#228)
- Qwen3-4B: 19.2 (#268)

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1095 | — |

## Math

- Llama 3.2 3B: 32.4 (#214)
- Qwen3-4B: 29.7 (#240)

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1126 | — |

## Knowledge

- Llama 3.2 3B: 29.7 (#235)
- Qwen3-4B: 33.0 (#208)

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1090 | — |

## Multilingual

- Llama 3.2 3B: 26.2 (#281)
- Qwen3-4B: —

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |

## Instruction Following

- Llama 3.2 3B: 56.0 (#275)
- Qwen3-4B: —

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1089 | — |

## Long Context

- Llama 3.2 3B: 33.4 (#261)
- Qwen3-4B: —

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1100 | — |

## Writing & Preference

- Llama 3.2 3B: 24.7 (#307)
- Qwen3-4B: —

| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| LMArena Text | 1110 | — |
| LMArena Creative Writing | 1094 | — |
| EQ-Bench Creative Writing | 595 | — |
| LMArena Multi-Turn | 1105 | — |

## FAQ

### Is Llama 3.2 3B better than Qwen3-4B?

Qwen3-4B is the stronger model overall, scoring 31.9 to 28.9 on the Noometry Index.

### How many benchmarks do Llama 3.2 3B and Qwen3-4B share?

1 benchmark has published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Qwen3-4B has 6.