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Gemini 3 Flash: Frontier intelligence built for speed

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Re: Gemini 3 Flash: Frontier intelligence built for speed

#441

Earlier quoted context omitted.

> Don’t let the “flash” name fool you I think it's bad naming on google's part. "flash" implies low quality, fast but not good enough. I get less negative feeling looking at "mini" models.

Fair point. Asked Gemini to suggest alternatives, and it suggested Gemini Velocity, Gemini Atom, Gemini Axiom (and more). I would have liked `Gemini Velocity`.

I like Anthropic's approach: Haiku, Sonnet, Opus. Haiku is pretty capable still and the name doesn't make me not wanna use it. But Flash is like "Flash Sale". It might still be a great model but my monkey brain associates it with "cheap" stuff.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#443

I think about what would be most terrifying to Anthropic and OpenAI i.e. The absolute scariest thing that Google could do. I think this is it: Release low latency, low priced models with high cognitive performance and big context window, especially in the coding space because that is direct, immediate, very high ROI for the customer. Now, imagine for a moment they had also vertically integrated the hardware to do thi…

> think about what would be most terrifying to Anthropic and OpenAI The most terrifying thing would be Google expanding its free tiers.

It's the only model provider that has offered a decent deal to students: a full year of google ai pro.

Granted, this doesn't give api access, only what google calls their "consumer ai products", but it makes a huge difference when chatgpt only allows a handful of document uploads and deep research queries per day.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#446
post #30

This is awesome. No preview release either, which is great to production. They are pushing the prices higher with each release though: API pricing is up to $0.5/M for input and $3/M for output For comparison: Gemini 3.0 Flash: $0.50/M for input and $3.00/M for output Gemini 2.5 Flash: $0.30/M for input and $2.50/M for output Gemini 2.0 Flash: $0.15/M for input and $0.60/M for output Gemini 1.5 Flash: $0.075/M for inp…

is there a website where i can compare openai, anthropic and gemini models on cost/token ?

https://www.llm-prices.com/

Re: Gemini 3 Flash: Frontier intelligence built for speed

#447

Earlier quoted context omitted.

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…

Gemini isn't code red for Anthropic. Gemini threatens none of Anthropic's positioning in the market.

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Re: Gemini 3 Flash: Frontier intelligence built for speed

#448
post #125

At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed Image model they have released is much worse than nano banana pro, ghibli moment did not happen Their GPT 5.2 is obviously overfit on benchmarks as a consensus of many developers and friends I know. So Opus 4.5 is staying on top when it comes to coding The weight of the ads money from google and general direct…

> I start to believe OAI is very much behind Kara Swisher recently compared OpenAI to Netscape.

Ouch.

Maybe we'll get some awesome FOSS tech out of its ashes?

Re: Gemini 3 Flash: Frontier intelligence built for speed

#449
post #136

Earlier quoted context omitted.

"At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed" This has been true for at least 4 months and yeah, based on how these things scale and also Google's capital + in-house hardware advantages, it's probably insurmountable.

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…

Gemini CLI via a Google One plan is the regular consumer billing flow which is pretty straightforward.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#450
looking at the results, it seems like flash should be the default now when using Gemini? the difference between flash thinking and pro thinking is not noticeable anymore, not to mention the speed increase from flash! The only noticeable one is MRCR (long context) benchmark which tbh I also found it to be pretty bad in gemini 3 preview since launching
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