Model comparison
Llama 2-34B vs Qwen3-1.7B
Qwen3-1.7B has enough public results to be ranked (#331); Llama 2-34B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-34B | Qwen3-1.7B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | — | 26.2 |
| Released | 2023-07-18 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 4 |
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Category by category
Agentic & Tool Use Not comparable
Llama 2-34B: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Llama 2-34B | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Not comparable
Llama 2-34B: —, Qwen3-1.7B: 18.5 (#263)
| Benchmark | Llama 2-34B | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | 44.1% | — |
| Epoch Capabilities Index | 104.81 | — |
| PIQA | 81.9% | — |
| WinoGrande | 76.7% | — |
Math Not comparable
Llama 2-34B: —, Qwen3-1.7B: 15.4 (#288)
| Benchmark | Llama 2-34B | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| GSM8K | 42.2% | — |
Knowledge Not comparable
Llama 2-34B: —, Qwen3-1.7B: 19.6 (#273)
| Benchmark | Llama 2-34B | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| 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 Qwen3-1.7B?
Qwen3-1.7B has enough public results to be ranked (#331); Llama 2-34B does not yet, so treat this comparison as directional.
How many benchmarks do Llama 2-34B and Qwen3-1.7B share?
0 benchmarks have published results for both models. Llama 2-34B has 10 scored results on Noometry and Qwen3-1.7B has 4.