Battle of the LLM’s - Who Stands Tall, My Question to You

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by a searcher from Ohio Wesleyan University
in Akron, OH, USA

1h ago

Battle of the LLM’s - Who Stands Tall, My Question to You

If you find yourself reading this, what is your go to model for ETA once you have a prospect in hand? Are there any proven stats that one is better for business than another? I use Gemini. I recently exited an LOI due to environmental issues in a stone fabrication shop. We were under LOI for 3 months and I used Gemini the entire time for analysis and DD questionnaires. My thought was to get the purchase down to the 1 yard line or as far as I could go and then bring in the calvary at a negotiated rate. Our deal room was set up in google drive and I liked the accessibility. However, now I am looking at new businesses and want to start with the best tools at hand. What do you think? Grok v Claude v GPT v Gemini v something else?? My main mission is to analyze, complete DD and act as a negotiation specialist.

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reply by a searcher 1h ago
in Summit County, OH, USA

I don't think there's one best LLM for ETA. It really depends on what you're trying to accomplish, and I've found each has different strengths. For heavy-duty analysis, financial modeling, scenario testing, and due diligence, I tend to lean on GPT, Codex, and Claude. I use Codex when I want to work directly with the data and test the underlying calculations. I've also built my own MCP server within my GPT workspace, with repeatable DD workflows and hard stops when critical evidence or risk checks are missing. I've built similar controls in Claude. Gemini hasn't performed as well for rigorous analysis in my experience, although I do like it for creative strategy and sometimes writing. I've even developed skills that get GPT to write much closer to the Gemini style I prefer. I haven't used Grok enough to give it a fair assessment. For a live acquisition, I'd use one model for the initial analysis and another to challenge the assumptions, flag potential deal breakers, and pressure-test valuation and negotiation scenarios. More important to me than the brand of LLM is whether I can trace the conclusions back to the source documents and catch material risks early. Environmental exposure, like what you encountered, is exactly where I'd want a specialist involved before getting too far down the road. As far as model choices, I'd choose based on the tasks and the controls you build around it. Plus, You'll notice, especially between Claude and OpenAI/GPT, they will fluctuate, especially on new rollouts. That's why I like to keep both subscriptions to play them against each other and pressure-test against each other.