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Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

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Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#351

Post by asdf1011 »

vel0city wrote: post #135
ngrilly wrote: post #119

Earlier quoted context omitted.

Also a big proponent of Google and Gemini, but their stubbornness in artificially splitting their consumer and enterprise products is extremely annoying. It's pretty weird that I have access to more powerful tools when using my personal Google account compared to my corporate Google Workspace account.

As someone who's been using Workspace as a personal email account for over a decade this has been such a struggle forever. Just lots of odd limitations to feature sets all over the place. When they swapped Google Assistant for Gemini as the default voice provider in Android Auto it was so annoying. My wife's non-work space account can get Gemini to do the normal things like play music and what not, but my Workspace o…

This drove me bonkers. You can enable play music (etc) in Android Auto for workspace accounts by enabling apps in Gemini. From memory (looking at the settings now, not 100% sure of the magic steps required), but go to admin.google.com, go to 'generative ai', 'gemini app', and 'apps settings', then turn on 'other Google apps'. This lets you play music (and other things) in Android Auto.

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#352

Post by ikiris »

stonewhite wrote: post #90

Google somehow managed to snatch defeat from the jaws of success with their AI products. They literally forced me and my company out of Antigravity by phasing out AI Ultra subscription without any proper product follow-up. Antigravity IDE cannot even have poweruser subscriptions now from Google Workspace an Gemini Enterprise Agent Platform cannot be attached to Antigravity IDE. Gemini Enterprise Agent Platform has an…

Snatching defeat from the jaws of victory is the specialty of product managers.

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#353

Post by platinumrad »

WarmWash wrote: post #132
spyckie2 wrote: post #63

Google seems to have anorexia when it comes to model intelligence. They have an internal hard constraint on price per token it seems, and they are trying to squeeze out intelligence with limited compute. I wonder if there is something with their TPU cycles that makes them want to postpone training a new model. My guess is that they have been on the same base model for 6 months and they may have waited for the next ge…

Google Cloud is probably Google Deepminds biggest competitor. Big company kinda bullshit.

How so?

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#354

Post by visarga »

deaux wrote: post #321
ngrilly wrote: post #119

Earlier quoted context omitted.

Also a big proponent of Google and Gemini, but their stubbornness in artificially splitting their consumer and enterprise products is extremely annoying. It's pretty weird that I have access to more powerful tools when using my personal Google account compared to my corporate Google Workspace account.

It's literally the meme of the MS org chart pointing guns at each other. The GCP team wants their slice, the other team wants some otjer slice, and so on. Everyone wants some crap for their promotion package. It's no wonder Meta has shit the bed even worse. It's also why Google still releases actually decent, useful models despite the product being such a hilarious mess. A lot of the time Gemini models have actually…

> The GCP team wants their slice, the other team wants some otjer slice, and so on. Everyone wants some crap for their promotion package.

I got a Google One plan for Gemini, but it came bundled with YT Premium lite, and that somehow made it impossible to renew YT Premium for 30 days. I suspect different teams stealing customers from each other.

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#356

Post by repeekad »

Certhas wrote: post #272
repeekad wrote: post #180

Earlier quoted context omitted.

Aren’t the subscriptions extremely subsidized and burning cash for Anthropic and OpenAI? A reasonable explanation is they’re simply abstaining from the war of attrition, especially given cheaper comparable models are breaking the illusion that the “frontier of intelligence” has any kind of per token margin.

This is hotly debated and completely unclear. Let's say Anthropics Opus models cost the same to serve as GLM 5.2. GLM 5.2 is 4.4$/MTok while Opus is 5.6 times more expensive. Assume that GLM 5.2 is served at essentially zero margin. Then Anthropic has >80% margin on API pricing. So even if an average person with a subscription pays only 20% of the API price of their usage, Anthropic makes money on subscriptions. And…

Sure, but then why wouldn’t I use GLM 5.2 at cost or K3?

I guess that’s the big question, will people pay a big margin long term to use their end products / models or will AI tokens be commoditized by many competing players. For coding if I had to pay API costs I’d switch in a heartbeat, enterprise maybe more reluctant?

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#357

Post by zhengyi13 »

reaperducer wrote: post #124
stonewhite wrote: post #90

Google somehow managed to snatch defeat from the jaws of success with their AI products. They literally forced me and my company out of Antigravity by phasing out AI Ultra subscription without any proper product follow-up. Antigravity IDE cannot even have poweruser subscriptions now from Google Workspace an Gemini Enterprise Agent Platform cannot be attached to Antigravity IDE. Gemini Enterprise Agent Platform has an…

They literally forced me and my company out of Antigravity by phasing out AI Ultra subscription without any proper product follow-up That sounds awful. For those of us who don't follow the AI hype cycle, what does that have to do with the topic of this thread: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber?

"Your new models are great, but uh... How exactly am I supposed to use them?"

That is, given a lot of users' contexts, the way they can and the way they want to use these models are increasingly disjoint.

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#358

Post by dTal »

awongh wrote: post #193
postalcoder wrote: post #53

I wonder how big the Pro model is that Google is using behind the scenes to train these smaller ones. Going on baseless speculation, the lack of accompanying pro models with these flash releases either means: 1) the model is too big to be economical, 2) google doesn't have the compute to serve the big model, 3) their big model has too many alignment issues to serve to the public. edit: looks like benchmarks are up on…

It seems like there are some credible rumors that Google is actually winning in terms of actually building models that work and don't lose money- between how they're able to price them, the TPU advantage and their capex advantage (being able to raise debt + just having a lot of cash - well I said not lose money... more like not go bankrupt). From the outside they look like they're behind in terms of frontier models,…

In terms of open models, Gemma 4 beats the pants off everything else to the point that paying for APIs becomes hard to justify. Qwen has the meme-share for coding, but it feels much less well rounded. I have no doubt that Google have both the infrastructure and the expertise to curb stomp everyone else, should they resolve in earnest to do so.

Lest we forget, "Attention is All You Need" came from Google.

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#359

Post by Alifatisk »

m4tthumphrey wrote: post #59

I'm going to get downvoted/flagged but I feel like we need a new type of "Show HN/Tell HN" etc for "New AI Model Available". Front page is tedious these days.

> I'm going to get downvoted/flagged but [...]

Why do you care that much? Just say it. You're letting an imaginary score determine if you should express your suggestion for improvement. That's a bit wild.

Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

#360

Post by Havoc »

JacobAsmuth wrote: post #293
Havoc wrote: post #206

Flash Lite: 0.3/m and 2.5/m Deepseek Pro: 0.435/m 0.87/m That's wildly ambitious pricing by Google. You can maybe get away with spicy pricing at the SOTA edge but at the lower tiers everything is a lot more price sensitive.

You need to compare cost per task buddy boy. Cost per token doesn't tell you much when you don't know how many tokens a model will use to accomplish a task

>boy

Seriously?

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