231–240 of 609 posts
To those saying "OpenAI is toast" ChatGPT still has 81% market share as of this very moment, vs Gemini's ~2%, and arguably still provides the best UX and branding. Everyone and their grandma knows "ChatGPT", who outside developers' bubble has even heard of Gemini Flash? Yea I don't think that dynamic is switching any time soon.
Ok, I was a bit addicted to Opus 4.5 and was starting to feel like there's nothing like it. Turns out Gemini 3 Flash is pretty close. The Gemini CLI is not as good but the model more than makes up for it. The weird part is Gemini 3 Pro is nowhere as good an experience. Maybe because its just so slow.
Might be using flash for my MCP research/transcriber/minor tasks modl over haiku, now, though (will test of course)
Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price
For someone looking to switch over to Gemini from OpenAI, are there any gotchas one should be aware of? E.g. I heard some mention of API limits and approvals? Or in terms of prompt writing? What advice do people have?
https://epoch.ai/benchmarks/simplebench Just do it. I use a service where I have access to all SOTA models and many open sourced models, so I change models within chats, using MCPs eg start a chat with opus making a search with perplexity and grok deepsearch MCPs and google search, next query is with gpt 5 thinking Xhigh, next one with gemini 3 pro, all in the same conversation. It's fantastic! I can't imagine what i…
Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price
claude is coding model from the start but GPT is in more and more becoming coding model
I just always thought the taste of gpt or claude models was more interesting in the professional context and their end user chat experience more polished.
are there obvious enterprise use cases where gemini models shine?
To those saying "OpenAI is toast" ChatGPT still has 81% market share as of this very moment, vs Gemini's ~2%, and arguably still provides the best UX and branding. Everyone and their grandma knows "ChatGPT", who outside developers' bubble has even heard of Gemini Flash? Yea I don't think that dynamic is switching any time soon.
where did you get this from?
Presumably a big motivation for them is to be first to get something good and cheap enough they can serve to every Android device, ahead of whatever the OpenAI/Jony Ive hardware project will be, and way ahead of Apple Intelligence. Speaking for myself, I would pay quite a lot for truly 'AI first' phone that actually worked.
Earlier quoted context omitted.
For anyone from the Gemini team reading this: these links should all be prominent in the announcement posts. I always have to hunt around for them!
Google actually does something similar for major releases - they publish a dedicated collection page with all related links. For example, the Gemini 3 Pro collection: https://blog.google/products/gemini/gemini-3-collection/ But having everything linked at the bottom of the announcement post itself would be really great too!
Earlier quoted context omitted.
Not OP, but I feel the same way. Cost is just one of the factor. I'm used to Claude Code UX, my CLAUDE.md works well with my workflow too. Unless there's any significant improvement, changing to new models every few months is going to hurt me more.
I used to think this way. But I moved to AGENTS.md. Now I use the different UI as a mental context separation. Codex is working on Feature A, Gemini on feature B, Claude on Feature C. It has become a feature.
In my experience, to get the best performance out of different models, they need slightly different prompting.