Model comparison
Llama 2-7B vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 28.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 27.7.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 12% for Qwen3.5-9B.
Side by side
| Llama 2-7B | Qwen3.5-9B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.6 | 33.3 |
| Released | 2023-07-18 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 29 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Llama 2-7B: 28.7 (#302), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1002 | — |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Llama 2-7B: 15.1 (#309), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| Chess Puzzles | 0% | 12% |
| Epoch Capabilities Index | 98.54 | 139.45 |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | 1009 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Qwen3.5-9B leads
Llama 2-7B: 28.2 (#231), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |
Knowledge Qwen3.5-9B leads
Llama 2-7B: 27.7 (#243), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| 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: —, Qwen3.5-9B: —
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.9 (#288), Qwen3.5-9B: —
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| 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), Qwen3.5-9B: —
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#282), Qwen3.5-9B: —
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Not comparable
Llama 2-7B: 28.1 (#293), Qwen3.5-9B: —
| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 28.6 on the Noometry Index.
Is Llama 2-7B or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 28.7 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen3.5-9B share?
2 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3.5-9B has 10.