Model comparison
Llama 13b vs Qwen3-4B
Qwen3-4B is the stronger model overall, scoring 31.9 to 24.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen3-4B leads 19.2 to 14.0.
Side by side
| Llama 13b | Qwen3-4B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 31.9 |
| Released | 2023-02-24 | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Llama 13b: 21.4 (#337), Qwen3-4B: —
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| LMArena Coding | 683 | — |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3-4B: 27.6 (#100)
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning Qwen3-4B leads
Llama 13b: 14.0 (#329), Qwen3-4B: 19.2 (#268)
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 728 | — |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3-4B leads
Llama 13b: 26.7 (#256), Qwen3-4B: 29.7 (#240)
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3-4B: 33.0 (#208)
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3-4B: —
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Not comparable
Llama 13b: 16.6 (#297), Qwen3-4B: —
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 819 | — |
Instruction Following Not comparable
Llama 13b: 36.7 (#305), Qwen3-4B: —
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 781 | — |
Writing & Preference Not comparable
Llama 13b: 13.8 (#312), Qwen3-4B: —
| Benchmark | Llama 13b | Qwen3-4B |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| LMArena Multi-Turn | 753 | — |
Frequently asked questions
Is Llama 13b better than Qwen3-4B?
Qwen3-4B is the stronger model overall, scoring 31.9 to 24.4 on the Noometry Index.
How many benchmarks do Llama 13b and Qwen3-4B share?
0 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3-4B has 6.