There is an old rule of thumb that says the quality of an MoE is equivalent to a dense model with the geometric mean of its total and active parameters. So, for example, the Qwen3.6 would be equivalent to a dense model with approximately sqrt(35×3) ≈ 10.25B parameters.
Both MoEs and dense models are always getting better, so I don't think this comparison is meaningful across generations. But still for a first approximation, this tends to hold (you wouldn't expect a lot from a 10B model in coding yet).
Both MoEs and dense models are always getting better, so I don't think this comparison is meaningful across generations. But still for a first approximation, this tends to hold (you wouldn't expect a lot from a 10B model in coding yet).