If you pay API prices for inference in your product stack & have specific use-cases w/ custom evals, these smaller models provide an additional cost/speed lever to adjust. Ultimately, I think the point is to compete on cost for use-cases where Sol on the lowest reasoning is overkill.
If you have a fairly straightforward usecase where Terra performs just as well as Sol, but is faster and cheaper, why not use it?
[–] fy20 3 days ago
[–] h14h 2 days ago
Terra 6.1 on low reasoning outperforms Luna 6 on max reasoning, while costing half as much per task and completing each task over 10x faster (per AA v5).
Luna 6.1 will likely close the intelligence & cost gaps, but that speed advantage will remain.
[–] dannyw 3 days ago
Benchmarks don’t really tell you much. For API best will always be a model+effort sweep on your internal evals (and if you don’t have internal evals, do that first).
For individual coding harnesses, honestly I just go with vibes. The best workflow is the one that works for you.
Spinning up a fresh session would be a reasonable choice in the above case, but sometimes you still need the retained context.