Model comparison
Llama 3.2 3B vs Qwen3-4B
Qwen3-4B is the stronger model overall, scoring 31.5 to 28.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
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 27.3 to 19.9.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 21.9% for Llama 3.2 3B and 35.7% for Qwen3-4B.
Side by side
| Llama 3.2 3B | Qwen3-4B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.4 | 31.5 |
| Released | 2024-09-24 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 118K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.33 | — |
| Results tracked | 18 | 6 |
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Category by category
Coding Not comparable
Llama 3.2 3B: 27.1 (#314), Qwen3-4B: —
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |
Agentic & Tool Use Qwen3-4B leads
Llama 3.2 3B: 19.9 (#135), Qwen3-4B: 27.3 (#94)
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | 35.7% |
| BALROG | 10.1% | — |
Reasoning Llama 3.2 3B leads
Llama 3.2 3B: 20.1 (#225), Qwen3-4B: 18.5 (#264)
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1095 | — |
Math Llama 3.2 3B leads
Llama 3.2 3B: 29.9 (#213), Qwen3-4B: 28.5 (#228)
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1126 | — |
Knowledge Qwen3-4B leads
Llama 3.2 3B: 29.1 (#232), Qwen3-4B: 33.0 (#198)
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1090 | — |
Multilingual Not comparable
Llama 3.2 3B: 26.4 (#276), Qwen3-4B: —
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |
Instruction Following Not comparable
Llama 3.2 3B: 56.3 (#270), Qwen3-4B: —
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1089 | — |
Long Context Not comparable
Llama 3.2 3B: 33.4 (#256), Qwen3-4B: —
| Benchmark | Llama 3.2 3B | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1101 | — |
Writing & Preference Not comparable
Llama 3.2 3B: 24.9 (#302), 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 | — |
Frequently asked questions
Is Llama 3.2 3B better than Qwen3-4B?
Qwen3-4B is the stronger model overall, scoring 31.5 to 28.4 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.