Gemini 3.7 is my workhorse - fast and good enough for most tasks. Occasionally I go to GPT Sol or Claude to improve Gemini's output or for more complex tasks, but more than of my work usage is Gemini 3.7. Quite happy to test 3.8 now.
Sounds counter-intuitive at first, but Luna is overall better at sticking with what works. Sol is wicked smart but needs constraints.
When I read all the issues people have with Claude - the aggressive guardrails, the cost, how quickly it burns tokens - it seems almost masochistic to use it. Just seems like herd behavior - people use it because everyone else is using it, and because they believe it’s the “best”, whatever that means. (Benchmarks certainly don’t help define that.)
Subscription? -> Google One plan (http://one.google.com/)
API? -> AI Studio (https://aistudio.google.com/)
Google Cloud -> Gemini Enterprise AI Platform (https://cloud.google.com/ai)
I have spent two months experimenting with a wide range of US and Chinese models, and I had a lot of fun doing that, but I am in the process of switching to just using local models, using Gemini on an API if I need it, and once or twice a month when I really need help on something difficult, I use something top-tier like Kimi K3.