I tried claude caude 20x max plan for one month, working on a big project : A motion design software. driving it with a massive over 17 documents files to maintain context for the the core of the software and different modules, it was a very nice experience. it went smooth 90% of the time, the 10% were extremely hard problems, specifically graphics programming, C++ and DX12, that gemini 3.1 pro solved on the first run despite having few files to work with (not full context). I also tried Gpt 5.5, did a small refactor in one section, performed well but took a lot of time (free tier) so my observation (i could be wrong), they all good but : Claude is good on the architecture and gemini on solving targeted issues. Gpt 5.5 is good on both but my issue with it is the small context window and having to compress it to keep going ! so my questions :
- which model is better at coding and which one is better on architecture ? Thank you. submitted by /u/Hassangtn
Originally posted by u/Hassangtn on r/ArtificialInteligence
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