Model comparison
Llama 2-7B vs Qwen3-1.7B
Llama 2-7B is the stronger model overall, scoring 28.6 to 26.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Llama 2-7B scores higher in 2 categories and Qwen3-1.7B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-7B leads 28.2 to 15.4.
Side by side
| Llama 2-7B | Qwen3-1.7B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.6 | 26.2 |
| Released | 2023-07-18 | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 4 |
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Category by category
Coding Not comparable
Llama 2-7B: 28.7 (#302), Qwen3-1.7B: —
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| LMArena Coding | 1002 | — |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Qwen3-1.7B leads
Llama 2-7B: 15.1 (#309), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1009 | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 98.54 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 28.2 (#231), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 27.7 (#243), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen3-1.7B: —
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.9 (#288), Qwen3-1.7B: —
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 969 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Not comparable
Llama 2-7B: 51.0 (#293), Qwen3-1.7B: —
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#282), Qwen3-1.7B: —
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Not comparable
Llama 2-7B: 28.1 (#293), Qwen3-1.7B: —
| Benchmark | Llama 2-7B | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Qwen3-1.7B?
Llama 2-7B is the stronger model overall, scoring 28.6 to 26.2 on the Noometry Index.
How many benchmarks do Llama 2-7B and Qwen3-1.7B share?
1 benchmark has published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3-1.7B has 4.