My main issue with Gemini is that business accounts can't delete individual conversations. You can only enable or disable Gemini, or set a retention period (3 months minimum), but there's no way to delete specific chats. I'm a paying customer, prices keep going up, and yet this very basic feature is still missing.
Gemini 3 Flash: Frontier intelligence built for speed
251–260 of 609 posts
Re: Gemini 3 Flash: Frontier intelligence built for speed
#252Earlier quoted context omitted.
Yeah the only thing standing in Google's way is Google. And it's the easy stuff, like sensible billing models, easy to use docs and consoles that make sense and don't require 20 hours to learn/navigate, and then just the slew of bugs in Gemini CLI that are basic usability and model API interaction things. The only differentiator that OpenAI still has is polish. Edit: And just to add an example: openAI's Codex CLI bil…
I'd be curious how many people use openrouter byok just to avoid figuring out the cloud consoles for gcp/azure.
I do. Gave up using Gemini directly.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#253So much for "Monopolies get lazy, they just rent seek and don't innovate"
"Monopolies get lazy, they just rent seek and don't innovate"
I think part of what enables a monopoly is absence of meaningful competition, regardless of how that's achieved -- significant moat, by law or regulation, etc.
I don't know to what extent Google has been rent-seeking and not innovating, but Google doesn't have the luxury to rent-seek any longer.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#254It's a cool release, but if someone on the google team reads that: flash 2.5 is awesome in terms of latency and total response time without reasoning. In quick tests this model seems to be 2x slower. So for certain use cases like quick one-token classification flash 2.5 is still the better model. Please don't stop optimizing for that!
Did you try setting thinkingLevel to minimal? thinkingConfig: { thinkingLevel: "low", } More about it here https://ai.google.dev/gemini-api/docs/gemini-3#new_api_featu...
Yes I tried it with minimal and it's roughly 3 seconds for prompts that take flash 2.5 1 second.
On that note it would be nice to get these benchmark numbers based on the different reasoning settings.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#255Earlier quoted context omitted.
I think: Fast = Gemini 3 Flash without thinking (or very low thinking budget) Thinking = Gemini 3 flash with high thinking budget Pro = Gemini 3 Pro with thinking
It's this, yes: https://x.com/joshwoodward/status/2001350002975850520 >Fast = 3 Flash >Thinking = 3 Flash (with thinking) >Pro = 3 Pro (with thinking)
Thank you! I wish they had clearer labelling (or at the very least some documentation) explaining this.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#256Earlier quoted context omitted.
I think google is the only one that still produce general knowledge LLM right now claude is coding model from the start but GPT is in more and more becoming coding model
I agree with this observation. Gemini does feel like code-red for basically every AI company like chatgpt,claude etc. too in my opinion if the underlying model is both fast and cheap and good enough I hope open source AI models catch up to gemini 3 / gemini 3 flash. Or google open sources it but lets be honest that google isnt open sourcing gemini 3 flash and I guess the best bet mostly nowadays in open source is pro…
I would expect open weights models to always lag behind; training is resource-intensive and it’s much easier to finance if you can make money directly from the result. So in a year we may have a ~700B open weights model that competes with Gemini 3, but by then we’ll have Gemini 4, and other things we can’t predict now.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#257Does anyone else understand what the difference is between Gemini 3 'Thinking' and 'Pro'? Thinking "Solves complex problems" and Pro "Thinks longer for advanced math & code". I assume that these are just different reasoning levels for Gemini 3, but I can't even find mention of there being 2 versions anywhere, and the API doesn't even mention the Thinking-Pro dichotomy.
Really stupid question: How is Gemini-like 'thinking' separate from artificial general intelligence (AGI)? When I ask Gemini 3 Flash this question, the answer is vague but agency comes up a lot. Gemini thinking is always triggered by a query. This seems like a higher-level programming issue to me. Turn it into a loop. Keep the context. Those two things make it costly for sure. But does it make it an AGI? Surely Googl…
Advanced reasoning LLM's simulate many parts of AGI and feel really smart, but fall short in many critical ways.
- An AGI wouldn't hallucinate, it would be consistent, reliable and aware of its own limitations
- An AGI wouldn't need extensive re-training, human reinforced training, model updates. It would be capable of true self-learning / self-training in real time.
- An AGI would demonstrate real genuine understanding and mental modeling, not pattern matching over correlations
- It would demonstrate agency and motivation, not be purely reactive to prompting
- It would have persistent integrated memory. LLM's are stateless and driven by the current context.
- It should even demonstrate consciousness.
And more. I agree that what've we've designed is truly impressive and simulates intelligence at a really high level. But true AGI is far more advanced.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#258Does anyone else understand what the difference is between Gemini 3 'Thinking' and 'Pro'? Thinking "Solves complex problems" and Pro "Thinks longer for advanced math & code". I assume that these are just different reasoning levels for Gemini 3, but I can't even find mention of there being 2 versions anywhere, and the API doesn't even mention the Thinking-Pro dichotomy.
Really stupid question: How is Gemini-like 'thinking' separate from artificial general intelligence (AGI)? When I ask Gemini 3 Flash this question, the answer is vague but agency comes up a lot. Gemini thinking is always triggered by a query. This seems like a higher-level programming issue to me. Turn it into a loop. Keep the context. Those two things make it costly for sure. But does it make it an AGI? Surely Googl…
I don't think we'll get genuine AGI without long-term memory, specifically in the form of weight adjustment rather than just LoRAs or longer and longer contexts. When the model gets something wrong and we tell it "That's wrong, here's the right answer," it needs to remember that.
Which obviously opens up a can of worms regarding who should have authority to supply the "right answer," but still... lacking the core capability, AGI isn't something we can talk about yet.
LLMs will be a part of AGI, I'm sure, but they are insufficient to get us there on their own. A big step forward but probably far from the last.
Re: Gemini 3 Flash: Frontier intelligence built for speed
#259Earlier quoted context omitted.
is there a website where i can compare openai, anthropic and gemini models on cost/token ?
There are plenty. But it's not the comparison you want to be making. There is too much variability between the number of tokens used for a single response, especially once reasoning models became a thing. And it gets even worse when you put the models into a variable length output loop. You really need to look at the cost per task. artificialanalysis.ai has a good composite score, measures the cost of running all the…
thanks
Re: Gemini 3 Flash: Frontier intelligence built for speed
#260Does anyone else understand what the difference is between Gemini 3 'Thinking' and 'Pro'? Thinking "Solves complex problems" and Pro "Thinks longer for advanced math & code". I assume that these are just different reasoning levels for Gemini 3, but I can't even find mention of there being 2 versions anywhere, and the API doesn't even mention the Thinking-Pro dichotomy.
Really stupid question: How is Gemini-like 'thinking' separate from artificial general intelligence (AGI)? When I ask Gemini 3 Flash this question, the answer is vague but agency comes up a lot. Gemini thinking is always triggered by a query. This seems like a higher-level programming issue to me. Turn it into a loop. Keep the context. Those two things make it costly for sure. But does it make it an AGI? Surely Googl…
This is what every agentic coding tool does. You can try it yourself right now with the Gemini CLI, OpenCode, or 20 other tools.