Gemini , is great for current information and it’s starting to get better for coding. Its main super power is the 2 million context. It’s got enough context that you can load lots of content for in context learning or in context RAG. Use the AI studio console for a pretty great experience with Gemini. It’s got some nice quality of life features for power users. It’s updated with new features nearly every week. It has great citation ability and is integrated with their Google search. Claude is top dog for coding and many prefer its writing style for authoring. It also has a good console. Best results when you keep utilization to half of its context window. It’s king of the hill for coding and pretty great across the board for everything else as well. ChatGPT 4o and o1 are also extremely capable. If you want to build something with agents or you need specific output formats it has probably the best tool handling. Their chat interface is the most evolved but Gemini is catching up. The OpenAI api allows access to the agent framework and rag system as well as the text generation. For normal people it’s the best all rounder and no extra tools or consoles are needed to make it work quite well. The new o1 models can produce pretty spectacular results with the right prompting. I use Gemini when I need to work with high volume context. Several contracts or user manuals, documentation for software or APIs. Take the transcript of a 2 hour meeting and make notes. Load a sizable software project completely into context. Chat GPT for normal office work. Craft an email, manipulate a spreadsheet and make some charts , quick data analysis. GPT o1 for planning and reasoning tasks. Like take this problem and this documentation and come up with a solution. Most of my cases are around software development but it can give you great answers where reasoning and logic are required. I’ve had and seen others have great success using it to orchestrate other ai agents. Your result quality will be very prompt dependent. It’s starting to get to the point where the big separator is cost and context. They can all produce pretty accurate results. In your case I would probably use Gemini in the AI studio console for most of my research work. You could load up whole case docs and files to it far beyond what chat gpt and Claude can currently handle. Slim down your arguments and case studies with it and then take that output over into GPT o1 for final analysis and polish. In the past I would have recommended Claude for the context and research work but the new Gemini experimental model is pretty great. It has literally 10x the context of Claude. I’ve tested it up around 1.5 million tokens and even though the prompt takes about 45 seconds to process it does produce good results. If you don’t need to use vast context windows and can keep your files to under 100k tokens then I’d say stick to Claude + GPT o1 For your work keep in mind that Claude has a lot of safety and morality tuning which can cause it to not answer or give results that might be biased against your client or case. Another reason is probably stick to Gemini and GPT for now. I fully expect someone is going to release a legal LLM real soon. Answer from ThreeKiloZero on reddit.com