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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

#121

Even before this release the tools (for me: Claude Code and Gemini for other stuff) reached a "good enough" plateau that means any other company is going to have a hard time making me (I think soon most users) want to switch. Unless a new release from a different company has a real paradigm shift, they're simply sufficient. This was not true in 2023/2024 IMO. With this release the "good enough" and "cheap enough" int…

Correct. Opus 4.5 'solved' software engineering. What more do I need? Businesses need uncapped intelligence, and that is a very high bar. Individuals often don't.

If Opus is one-size-fits-all, then why Claude keeps the other series? (rethorical).

Opus and Sonnet are slower than Haiku. For lots of less sophisticated tasks, you benefit from the speed.

All vendors do this. You need smaller models that you can rapid-fire for lots of other reasons than vibe coding.

Personally, I actually use more smaller models than the sophisticated ones. Lots of small automations.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#122
post #4

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

Thanks, having it walk a hardcore SDR signal chain right now --- oh damn it just finished. The blog post makes it clear this isn't just some 'lite' model - you get low latency and cognitive performance. really appreciate you amplifying that.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#123
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…

For comparison, GPT-5 mini is $0.25/M for input and $2.00/M for output, so double the price for input and 50% higher for output.

flash is closer to sonnet than gpt minis though

Re: Gemini 3 Flash: Frontier intelligence built for speed

#124

Does 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 Google has tried this?

Re: Gemini 3 Flash: Frontier intelligence built for speed

#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 direction + founder sense of Brin brought the google massive giant back to life. None of my companies workflow run on OAI GPT right now. Even though we love their agent SDK, after claude agent SDK it feels like peanuts.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#129
post #11
post #3

They went too far, now the Flash model is competing with their Pro version. Better SWE-bench, better ARC-AGI 2 than 3.0 Pro. I imagine they are going to improve 3.0 Pro before it's no more in Preview. Also I don't see it written in the blog post but Flash supports more granular settings for reasoning: minimal, low, medium, high (like openai models), while pro is only low and high.

> They went too far, now the Flash model is competing with their Pro version Wasn't this the case with the 2.5 Flash models too? I remember being very confused at that time.

This is similar to how Anthropic has treated sonnet/opus as well. At least pre opus 4.5.

To me it seems like the big model has been "look what we can do", and the smaller model is "actually use this one though".

Re: Gemini 3 Flash: Frontier intelligence built for speed

#130
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 this.

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