[lostmsu]

Tuned Qwen 3.5 27B beats Step 3.5 on almost all benchmarks, so the point about the size class is moot.

[tempaccount420]

Benchmarks are not interesting in deciding the "size class". Bigger size means more knowledge. Also, the Qwen 3.5 27B is a dense 27B active parameter model. StepFun 3.5 Flash has 11B active parameters.

[lostmsu]

> Bigger size means more knowledge.

Qwen 3.5 27B beats StepFun 3.5 Flash on GPQA Diamond too, so probably no.

[tarruda]

Benchmarks don't tell the whole story. For one-shot coding tasks, I found Step 3.5 Flash to be stronger even than Qwen 3.5 397B.

[anentropic]

Benchmarks don't tell the whole story... for that you need anecdotes from random HN posters :)