The coding endpoint is always-thinking, so latency and output tokens cannot be estimated like a standard chat model
Moonshot's quickstart describes K2.7 Code as an always-thinking tool-use model, which can increase end-to-end latency and output cost in long agent loops.
ActionMeasure completion time and total tokens on real repository tasks, not only single-response speed.
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