Model comparison
Llama 2-13B vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 29.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Llama 2-13B 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 27.5.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 71.2% for Qwen3.5-9B.
Side by side
| Llama 2-13B | Qwen3.5-9B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 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 | 32 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Llama 2-13B: 30.4 (#287), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1062 | — |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Llama 2-13B: 12.3 (#333), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| Chess Puzzles | 0% | 12% |
| DTBench | 42.2% | 71.2% |
| Epoch Capabilities Index | 105.8 | 139.45 |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | 1051 | — |
| LMCA | — | 24.5% |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Qwen3.5-9B leads
Llama 2-13B: 28.7 (#226), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Qwen3.5-9B leads
Llama 2-13B: 27.5 (#244), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen3.5-9B: —
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.7 (#274), Qwen3.5-9B: —
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1043 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1086 | — |
Instruction Following Not comparable
Llama 2-13B: 53.5 (#282), Qwen3.5-9B: —
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1046 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#264), Qwen3.5-9B: —
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 30.0 (#284), Qwen3.5-9B: —
| Benchmark | Llama 2-13B | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1085 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 29.1 on the Noometry Index.
Is Llama 2-13B or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen3.5-9B share?
3 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3.5-9B has 10.