| ▲ | handzhiev 7 hours ago |
| 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. |
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| ▲ | owlninja 7 hours ago | parent | next [-] |
| Same here. I see so many people obsessing over the latest most state of the art bleeding edge models and yelling at Google for not being there, but I feel like the vast majority of people don't actually need those models. Flash has just been super useful and incredibly fast in my experience. |
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| ▲ | aero142 7 hours ago | parent [-] | | I prefer luna for most development, especially when I am guiding the process. Sometimes terra. I have had terrible results coding with sol. It is way over-tuned on RL to make something that completes the task, no matter what. I end up with way too much code that does a lot of things I didn't ask for. | | |
| ▲ | sneezychl 6 hours ago | parent | next [-] | | Try planning with Luna, implementing with Sol with guidelines to not exceed the given scope. Sounds counter-intuitive at first, but Luna is overall better at sticking with what works. Sol is wicked smart but needs constraints. | |
| ▲ | handzhiev 5 hours ago | parent | prev | next [-] | | I love Luna too. An excellent model and still usually better value per dollar than Gemini if you pay for API tokens. Things may change with 3.8 - we'll know soon. | |
| ▲ | jesuslop 5 hours ago | parent | prev | next [-] | | I setup Luna as main Claude Code driver (so zero anthropic api use) and it nailed crisply a handful of python tasks, gonna continue this way. | |
| ▲ | greenavocado 6 hours ago | parent | prev [-] | | IME you're supposed to have Sol drive Luna sub-agents to do 90% of the work. Sol should primarily be the verifier and goal setter. Use omp.sh with Task Delegation -> Always to strongly encourage Sol to drive Lunas. Also Luna prefers to be talked to with English in XML. |
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| ▲ | greenavocado 6 hours ago | parent | prev [-] |
| How are you able to get lots of usage out of it cost effectively? |
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| ▲ | seanmcdirmid 3 minutes ago | parent | next [-] | | Ultra AI is like $99/month, and it is hard to exhaust unless you are running a lot of concurrent requests. | |
| ▲ | handzhiev 6 hours ago | parent | prev [-] | | Google One plans are quite a good value actually - for a few bucks you get more Gemini plus space in Drive and other extras. Even through API, $3.75 for nearly Sol-level quality isn't that bad.
And let's not forget you can use it for free in AI Studio, and in the user app (even free accounts get tons of usage, though it's still 3.6 there), and in Antygravity. | | |
| ▲ | greenavocado 5 hours ago | parent [-] | | That's the thing. I am completely lost because there are so many redundant paths to get the same thing and I'm trying to figure out which one is the best deal | | |
| ▲ | trvz 5 hours ago | parent | next [-] | | Just put Mythos on the task; it’ll work out the best way in a measly few hours. | |
| ▲ | handzhiev 2 hours ago | parent | prev [-] | | That's Google at its best :) |
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