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Gemini 3 Flash: Frontier intelligence built for speed

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271–280 of 609 posts

Re: Gemini 3 Flash: Frontier intelligence built for speed

#271

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…

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.

There will be diminishing returns though as the future models won't be thah much better we will reach a point where the open source model will be good enough for most things. And the need for being on the latest model no longer so important.

For me the bigger concern which I have mentioned on other AI related topics is that AI is eating all the production of computer hardware so we should be worrying about hardware prices getting out of hand and making it harder for general public to run open source models. Hence I am rooting for China to reach parity on node size and crash the PC hardware prices.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#272
post #238

Feels like Google is really pulling ahead of the pack here. A model that is cheap, fast and good, combined with Android and gsuite integration seems like such powerful combination. 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. Speakin…

Apple Intelligence is going to be Gemini https://www.macrumors.com/2025/11/05/apple-siri-google-gemin...

Re: Gemini 3 Flash: Frontier intelligence built for speed

#273
post #238

Feels like Google is really pulling ahead of the pack here. A model that is cheap, fast and good, combined with Android and gsuite integration seems like such powerful combination. 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. Speakin…

What will you use the ai in the phone to do for you? I can understand tablets and smart glasses being able to leverage smol AI much better than a phone which is reliant on apps for most of the work.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#275
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

Should I not let the "Gemini" name fool me either?

Re: Gemini 3 Flash: Frontier intelligence built for speed

#276
post #238

Feels like Google is really pulling ahead of the pack here. A model that is cheap, fast and good, combined with Android and gsuite integration seems like such powerful combination. 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. Speakin…

Pulling ahead? Depends on the usecase I guess. 3 turns into a very basic Gemini-CLI session and Gemini 3 Pro has already messed up a simple `Edit` tool-call. And it's awfully slow. In 27 minutes it did 17 tool calls, and only managed to modify 2 files. Meanwhile Claude-Code flies through the same task in 5 minutes.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#277
I have a latency sensitive application - anyone know if any tools that let you compare time to first token and total latency for a bunch of models at once given a prompt. Ideally, run close to the DCs that serve the various models so we can take out network latency from the benchmark.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#278

Earlier quoted context omitted.

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.

I mean I do too, had a really odd Gemini bug until I did byok on openrouter

Re: Gemini 3 Flash: Frontier intelligence built for speed

#279
post #204

Earlier quoted context omitted.

I'm actually liking 5.2 in Codex. It's able to take my instructions, do a good job at planning out the implementation, and will ask me relevant questions around interactions and functionality. It also gives me more tokens than Claude for the same price. Now, I'm trying to white label something that I made in Figma so my use case is a lot different from the average person on this site, but so far it's my go to and I d…

I've noticed when it comes to evaluating AI models, most people simply don't ask difficult enough questions. So everything is good enough, and the preference comes down to speed and style. It's when it becomes difficult, like in the coding case that you mentioned, that we can see the OpenAI still has the lead. The same is true for the image model, prompt adherence is significantly better than Nano Banana. Especially…

I'd argue that 5.2 just barely squeaks past Sonnet 4.5 at this point. Before this was released, 4.5 absolutely beat Codex 5.1 Medium and could pretty much oneshot UI items as long as I didn't try to create too many new things at once.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#280
post #49

OpenAI is pretty firmly in the rear-view mirror now.

Google Antigravity is a buggy mess at the moment, but I believe it will eventually eat Cursor as well. The £20/mo tier currentluy has the highest usage limits on the market, including Google models and Sonnet and Opus 4.5.

It's not in Google's style, but they need a codex-like fine-tune. I don't think they have ever released fine-tunes like that though.

The model is very hard to work with as is.

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