Head to head
Qwen 3.6 vs Llama 4 Maverick
Which is better, Qwen 3.6 or Llama 4 Maverick?
Qwen 3.6 finishes ahead of Llama 4 Maverick on the index, 82.2 to 80.4, and leads on all four scores: craft, speed, control and value. Both are scored on the same rubric, in the same week, and neither placing is sponsored.
Updated
Qwen 3.6
34 of 73
82.2
The open Qwen of the summer, now succeeded by the 3.8 releases.
Llama 4 Maverick
41 of 73
80.4
The open-weights default: good enough, cheap to serve, supported everywhere.
The four scores, side by side
| Score | Qwen 3.6 | Llama 4 Maverick | Difference |
|---|---|---|---|
| Craft | 75 | 73 | +2 |
| Speed | 86 | 84 | +2 |
| Control | 93 | 92 | +1 |
| Value | 92 | 90 | +2 |
| Index score | 82.2 | 80.4 | +1.8 |
Which to pick
Qwen 3.6 is the safer pick on every axis we score. Llama 4 Maverick earns its place in the index, but nothing in these four numbers argues for it over Qwen 3.6.
Qwen 3.6
Qwen 3.6 shipped as a dense mid-size model and a sparse one that activates only a few billion parameters per token, both Apache-licensed and supported by every serving stack worth using. The 3.8 generation has since replaced it: an Apache-licensed 27B dense model, a fast sparse Flash, and the full 3.8-Max weights. It remains a well-understood, permissively licensed base, which is reason enough for teams already fine-tuning on it.
Where it shines
- Apache licence with no user or revenue conditions
- Sparse variant runs fast on modest hardware
- A huge ecosystem of fine-tunes and adapters
Llama 4 Maverick
Maverick is the mixture-of-experts middle of Llama 4 and the model most self-hosting teams land on. It is multimodal, it activates a small fraction of its parameters per token so it serves affordably, and every inference server, quantisation format and fine-tuning toolkit supports it on day one. That ecosystem, rather than the benchmarks, is the reason to pick it.
Where it shines
- Supported by every serving stack and quantisation tool that matters
- Mixture-of-experts design keeps serving costs down
- Largest fine-tuning community of any open family