Terra lost to Sol and Luna at every cost/performance point, it had no reason to exist.
replyAt introduction, Terra was a good mid-tier model. Terra [high] was on the pareto frontier of DeepSWE's score over cost, if only ever so slightly.
replyWhen I had Sol orchestrate Luna and Terra as implementation agents, Sol was a lot happier with what Terra produced and would find far fewer issues than what was implemented by Luna.
But a few weeks after introduction, OpenAI slashed Luna's cost by 80% and Terra's only by 20%. Only then did it become uneconomical to run Terra and its reason to exist stopped.
Retiring the Terra tier? Their space-inspired lineup has only been out for 2 months, they're already messing with it?
replyWell you see Terra is being left behind.
replyI personally use up to 3 models. Fable/Opus for planning, Opus/Sonnet for implementation depending on complexity.
replyI would maybe use Haiku 5.5 for highly parallel workflows like checking in on MRs or scanning my entire codebase.
Only reason I used Haiku was when I made Opus 5 run Haiku agents just to rewrite Opus 5's garbage output into something legible
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