Model comparison
Llama 2-34B vs Qwen3-4B
Qwen3-4B has enough public results to be ranked (#261); Llama 2-34B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-34B | Qwen3-4B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | — | 31.5 |
| Released | 2023-07-18 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 6 |
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Category by category
Agentic & Tool Use Not comparable
Llama 2-34B: —, Qwen3-4B: 27.3 (#94)
| Benchmark | Llama 2-34B | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning Not comparable
Llama 2-34B: —, Qwen3-4B: 18.5 (#264)
| Benchmark | Llama 2-34B | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| BIG-Bench Hard | 44.1% | — |
| Epoch Capabilities Index | 104.81 | — |
| PIQA | 81.9% | — |
| WinoGrande | 76.7% | — |
Math Not comparable
Llama 2-34B: —, Qwen3-4B: 28.5 (#228)
| Benchmark | Llama 2-34B | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| GSM8K | 42.2% | — |
Knowledge Not comparable
Llama 2-34B: —, Qwen3-4B: 33.0 (#198)
| Benchmark | Llama 2-34B | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| ARC (AI2) Challenge | 54.5% | — |
| BoolQ | 83.7% | — |
| MMLU | 62.6% | — |
| OpenBookQA | 58.2% | — |
| TriviaQA | 84.6% | — |
Frequently asked questions
Is Llama 2-34B better than Qwen3-4B?
Qwen3-4B has enough public results to be ranked (#261); Llama 2-34B does not yet, so treat this comparison as directional.
How many benchmarks do Llama 2-34B and Qwen3-4B share?
0 benchmarks have published results for both models. Llama 2-34B has 10 scored results on Noometry and Qwen3-4B has 6.