Model comparison
Llama 13b vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 23.9 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 27B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.6 27B leads 50.3 to 13.9.
Side by side
| Llama 13b | Qwen3.6 27B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 23.9 | 41.9 |
| Released | 2023-02-24 | 2026-04-22 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 21 | 11 |
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Category by category
Coding Qwen3.6 27B leads
Llama 13b: 20.9 (#332), Qwen3.6 27B: 38.5 (#162)
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| LMArena Coding | 683 | — |
Reasoning Qwen3.6 27B leads
Llama 13b: 13.4 (#327), Qwen3.6 27B: 24.4 (#148)
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| Epoch Capabilities Index | 100.09 | 146.47 |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 728 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3.6 27B leads
Llama 13b: 24.4 (#259), Qwen3.6 27B: 47.5 (#56)
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3.6 27B: 52.4 (#58)
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3.6 27B: —
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Not comparable
Llama 13b: 16.8 (#292), Qwen3.6 27B: —
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 819 | — |
Instruction Following Not comparable
Llama 13b: 36.9 (#300), Qwen3.6 27B: —
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 781 | — |
Writing & Preference Qwen3.6 27B leads
Llama 13b: 13.9 (#307), Qwen3.6 27B: 50.3 (#180)
| Benchmark | Llama 13b | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 753 | — |
Frequently asked questions
Is Llama 13b better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 23.9 on the Noometry Index.
Is Llama 13b or Qwen3.6 27B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 38.5 versus 20.9 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3.6 27B share?
1 benchmark has published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3.6 27B has 11.