Model comparison
Llama 13b vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 24.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Llama 13b scores higher in 0 categories and Qwen3.6 35B-A3B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3.6 35B-A3B leads 37.2 to 21.4.
Side by side
| Llama 13b | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 37.6 |
| Released | 2023-02-24 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 21 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Llama 13b: 21.4 (#337), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| LMArena Coding | 683 | — |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
Llama 13b: 14.0 (#329), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| Epoch Capabilities Index | 100.58 | 143.93 |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 728 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3.6 35B-A3B leads
Llama 13b: 26.7 (#256), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3.6 35B-A3B: —
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Not comparable
Llama 13b: 16.6 (#297), Qwen3.6 35B-A3B: —
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 819 | — |
Instruction Following Not comparable
Llama 13b: 36.7 (#305), Qwen3.6 35B-A3B: —
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 781 | — |
Writing & Preference Not comparable
Llama 13b: 13.8 (#312), Qwen3.6 35B-A3B: —
| Benchmark | Llama 13b | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| LMArena Multi-Turn | 753 | — |
Frequently asked questions
Is Llama 13b better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 24.4 on the Noometry Index.
Is Llama 13b or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3.6 35B-A3B share?
1 benchmark has published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3.6 35B-A3B has 14.