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Claude 3.5 Sonnet took a solid lead on our internal benchmarks over gpt-4-turbo for extraction tasks against large documents.

It may not be great for every workflow, but it certainly hits a sweet spot for intelligence x cost on most of my workflows.




Have anybody tried it against Gemini, for extraction tasks against large documents(its similar to question answering from books, right?)?


Claude 3.5 Sonnet supports a maximum of 200k tokens. Gemini handles 2,000k tokens.




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