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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

#81

I've been using the preview flash model exclusively since it came out, the speed and quality of response is all I need at the moment. Although still using Claude Code w/ Opus 4.5 for dev work. Google keeps their models very "fresh" and I tend to get more correct answers when asking about Azure or O365 issues, ironically copilot will talk about now deleted or deprecated features more often.

I've found copilot within the Azure portal to be basically useless for solving most problems.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#84
I never have, do not, and conceivably never will use gemini models, or any other models that require me to perform inference on Alphabet/Google's servers (i.e. gemma models I can run locally or on other providers are fine), but kudos to the team over there for the work here, this does look really impressive. This kind of competition is good for everyone, even people like me who will probably never touch any gemini model.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#86

It has a SimpleQA score of 69%, a benchmark that tests knowledge on extremely niche facts, that's actually ridiculously high (Gemini 2.5 *Pro* had 55%) and reflects either training on the test set or some sort of cracked way to pack a ton of parametric knowledge into a Flash Model. I'm speculating but Google might have figured out some training magic trick to balance out the information storage in model capacity. Tha…

>or some sort of cracked way to pack a ton of parametric knowledge into a Flash Model.

More experts with a lower pertentage of active ones -> more sparsity.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#87
post #63

This is the first flash/mini model that doesn't make a complete ass of itself when I prompt for the following: "Tell me as much as possible about Skatval in Norway. Not general information. Only what is uniquely true for Skatval." Skatval is a small local area I live in, so I know when it's bullshitting. Usually, I get a long-winded answer that is PURE Barnum-statement, like "Skatval is a rural area known for its bea…

I tried the same with my father's little village (Zarza Capilla, in Spain), and it gave a surprisingly good answer in a couple of seconds. Amazing.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#88

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.

It seems:

   - "Thinking" is Gemini 3 Flash with higher "thinking_level"
   - Prop is Gemini 3 Pro. It doesn't mention "thinking_level" but I assume it is set to high-ish.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#89

I’m wondering why Claude Opus 4.5 is missing from the benchmarks table.

I wondered this, too. I think the emphasis here was on the faster / lower costs models, but that would suggest that Haiku 4.5 should be the Anthropic entry on the table instead. They also did not use the most powerful xAI model either, instead opting for the fast one. Regardless, this new Gemini 3 Flash model is good enough that Anthropic should be feeling pressure on both price and model output quality simultaneously regardless of which Anthropic model is being compared against, which is ultimately good for the consumer at the end of the day.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#90

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…

For me, the last wave of models finally started delivering on their agentic coding promises.

This has been my experience exactly. Even over just the last few weeks I’ve noticed a dramatic drop in having to undo what the agents have done.
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