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Do you find that there are a lot of variations and intricacies in deciding which LLM to use? I find it pretty simple to just assume sonnet is best at most coding jobs, o1 best at complicated non-coding tasks, 4o for simple questions that don't require planning. and well, tbh that's it, no other LLMs are that interesting.

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We found that there is more nuance when it comes to different languages, we also update our leaderboard as new models drop so the best models are always available through PreCog. It's also nice to not have to tab switch constantly between chatbots and instead just use them in one central place. We added a feature so you can just pick the model you'd like to chat with if you dont want to be automatically matched with the leaderboard rankings (all matched responses provide an explanation in the reasoning behind the match so you can see why the model was chosen).

I think o1 is best at algorithm heavy coding tasks, opus at api/language-translation knowledge-breath heavy tasks (and also has better recency via later knowledge cutoff). But with latest update opus is pretty close at algorithm heavy coding.

We have plans to put o1 on the leaderboard - but Opus is there RN! We should have a new ELO ranking soon, but the second o1 ranking are done it will be on our leaderboard.

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