Model comparison
Llama 13b vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 23.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Llama 13b scores higher in 0 categories and Qwen3.5-9B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3.5-9B leads 35.3 to 20.9.
Side by side
| Llama 13b | Qwen3.5-9B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 23.9 | 33.3 |
| Released | 2023-02-24 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 21 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Llama 13b: 20.9 (#332), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 683 | — |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Llama 13b: 13.4 (#327), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| Epoch Capabilities Index | 100.09 | 139.45 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 728 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3.5-9B leads
Llama 13b: 24.4 (#259), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3.5-9B: 46.0 (#77)
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3.5-9B: —
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Not comparable
Llama 13b: 16.8 (#292), Qwen3.5-9B: —
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 819 | — |
Instruction Following Not comparable
Llama 13b: 36.9 (#300), Qwen3.5-9B: —
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 781 | — |
Writing & Preference Not comparable
Llama 13b: 13.9 (#307), Qwen3.5-9B: —
| Benchmark | Llama 13b | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| LMArena Multi-Turn | 753 | — |
Frequently asked questions
Is Llama 13b better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 23.9 on the Noometry Index.
Is Llama 13b or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 20.9 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3.5-9B share?
1 benchmark has published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3.5-9B has 10.