3 ms·
o1 is 10x better than 4o and 3.5 Sonnet for non-trivial coding tasks. I don't even bother with the other models for coding-related tasks, it really is a big dif
by weird-eye-issue 2y ago
o1 is 10x better than 4o and 3.5 Sonnet for non-trivial coding tasks. I don't even bother with the other models for coding-related tasks, it really is a big difference.
- brookst 2y agoYep. Calling 4o a “frontier model” when o1 is available seems questionable. I only use 4o when I need web search incorporated in results.
- thegeomaster 2y agoFor isolated coding tasks I've been using o1-preview instead of Sonnet for a while now, I just didn't mention it. Haven't had a chance to test o1 proper, but I assume it's also a jump in performance. However, for more "holistic" tasks which need to take into account a larger view of some other modules/systems/interfaces, I've found o1-preview can get really confident about weirdly incorrect things that end up being harder to debug than the more straightforward hallucinations of Sonnet, and so I mostly revert to Sonnet in those cases. I tried not to make too big a fuss about the exact models I'm mentioning, since it's pretty clear that the strongest open model, Llama (discussed here), is not comparable to inference-time compute models. And for agentic settings which I mentioned above, o1 just tips way too much into expensive & slow territory to make it useful, so my prediction is that it will be limited for direct (chat-based) consumer use for the time being.