zlacker

>>daniel+(OP)
Can anyone help me understand the "Number of Agent Turns" vs "SWE-Bench Pro (%)" figure? I.e. what does the spread of Qwen3-Coder-Next from ~50 to ~280 agent turns represent for a fixed score of 44.3%: that sometimes it takes that spread of agent turns to achieve said fixed score for the given model?

>>zamada+a5
Essentially the more turns you have the more the agent is likely to fail since the error compounds per turn. Agentic model are tuned for “long horizon tasks” ie being able to go many many turns on the same problem without failing.

>>edude0+S6
Much appreciated, but I mean more around "what do the error bars in the figure represent" than what the turn scaling itself is.

>>zamada+h8
For the tasks in SWE-Bench Pro they obtained a distribution of agent turns, summarized as the box plot. The box likely describes the inter-quartile range while the whiskers describe the some other range. You'd have to read their report to be sure. https://en.wikipedia.org/wiki/Box_plot