Very preliminary testing is very promising, seems far more precise in code changes over GPT-5 models in not ingesting irrelevant to the task at hand code sections for changes which tends to make GPT-5 as a coding assistant take longer than sometimes expected. With that being the case, it is possible that in actual day-to-day use, Haiku 4.5 may be less expensive than the raw cost breakdown may appear initially, though…
One of the main issues I had with Claude Code (maybe it‘s the harness?) was that the agent tends to NOT read enough relevant code before it makes a change. This leads to unnecessary helper functions instead of using existing helper functions and so on. Not sure if it is an issue with the models or with the system prompts and so on or both.
Helps solve the inherent tradeoff between reading more files (and filling up context) and keeping the context nice and tight (but maybe missing relevant stuff.)