5 ms·
I'd second this wholeheartedly Since building a custom agent setup to replace copilot, adopting/adjusting Claude Code prompts, and giving it basic tools, gemin
by verdverm 10mo ago
I'd second this wholeheartedly
Since building a custom agent setup to replace copilot, adopting/adjusting Claude Code prompts, and giving it basic tools, gemini-3-flash is my go-to model unless I know it's a big and involved task. The model is really good at 1/10 the cost of pro, super fast by comparison, and some basic a/b testing shows little to no difference in output on the majority of tasks I used
Cut all my subs, spend less money, don't get rate limited
- r_lee 10mo agoPlus I've found that overall with "thinking" models, it's more like for memory, not even actual perf boost, it might even be worse because if it goes even slightly wrong on the "thinking" part, it'll then commit to that for the actual response
- verdverm 10mo agofor sure, the difference in the most recent model generations makes them far more useful for many daily tasks. This is the first gen with thinking as a significant mid-training focus and it shows gemini-3-flash stands well above gemini-2.5-pro
- dingnuts 10mo ago[dead]
- dpoloncsak 10mo agoYeah, one of my first projects one of my buddies asked "Why aren't you using [ChatGPT 4.0] nano? It's 99% the effectiveness with 10% the price." I've been using the smaller models ever since. Nano/mini, flash, etc.
- phainopepla2 10mo agoI have been benchmarking many of my use cases, and the GPT Nano models have fallen completely flat one every single except for very short summaries. I would call them 25% effectiveness at best.
- verdverm 10mo agoFlash is not a small model, it's still over 1T parameters. It's a hyper MoE aiui I have yet to go back to small models, waiting for the upstream feature / GPU provider has been seeing capacity issues, so I am sticking with the gemini family for now
- walthamstow 10mo agoFlash Lite 2.5 is an unbelievably good model for the price
- sixtyj 10mo agoYup. I have found out recently that Grok-4.1-fast has similar pricing (in cents) but 10x larger context window (2M tokens instead of ~128-200k of gpt-4-1-nano). And ~4% hallucination, lowest in blind tests in LLM arena.
- verdverm 10mo agoYou use stuff from xAi and Elmo? I'm unwilling to look past Musk's politics, immorality, and manipulation on a global scale
- rudhdb773b 10mo agoGrok is the best general purpose LLM in my experience. Only Gemini is comparable. It would be silly to ignore it, and xAI is less evil than Google these days.
- verdverm 10mo ago[flagged]
- naught0 10mo agoWhen's the last time Sundar Pichai did a Hitler salute or had his creation calling itself "Mecha Hitler"?
- rudhdb773b 10mo agoIn the big picture, those events are insignificant compared to the negative impacts on society from Google's trillion dollar advertising business and the associated destruction of privacy.
- naught0 10mo agofair points, but we'll have to see now that grok is in the pentagon. sky's the limit
- PunchyHamster 10mo agoLLM bubble will burst the second investors figure out how much well managed local model can do
- verdverm 10mo agoExcept that 1. There is still night and day difference 2. Local is slow af 3. The vast majority of people will not run their own models 4. I would have to spend more than $200+ a month on frontier AI to come close the same price it would cost for any decent AI at home rig. Why would I not use frontier models at this point?