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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

#191
post #89
post #13

It's a bit disheartening to see no comparison to other models here - and I'm not sure this pushes the curve anywhere. 3.6 flash is more expensive than GLM 5.2 - but seemingly worse, although this post is really light (lite?) on details. It seemed for a time that Google had finally gotten the ball rolling, but I'm doubting that more and more as time passes. We'll see what happens with 3.5 pro I suppose.

GLM was twice as verbose running the Artificial Analysis benchmark. So it ends up being more expensive

Not really. Gemini 3.6 Flash actually cost $0.01 more per task, compared to GLM 5.2.

https://artificialanalysis.ai/models/gemini-3-6-flash

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

#192
post #13

It's a bit disheartening to see no comparison to other models here - and I'm not sure this pushes the curve anywhere. 3.6 flash is more expensive than GLM 5.2 - but seemingly worse, although this post is really light (lite?) on details. It seemed for a time that Google had finally gotten the ball rolling, but I'm doubting that more and more as time passes. We'll see what happens with 3.5 pro I suppose.

All the benchmarks I see put it around the capabilities of Opus 4.8 Medium or Sonnet 5 High.

As far as I can tell it's slightly better than GLM 5.2.

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

#193

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, but I think they might be the best positioned to not go out of business when the bubble pops.

Also look at the fact that they've been able to deploy AI-assisted search at google scale. It must be another order of magnitude larger (at least) than the model deployments for OpenAI and Anthropic.

Of course unless you're inside Google it's impossible to know for sure.

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

#194

I'm more excited for 3.5 pro. Gemini has fallen behind in some areas, but is still one of the best multimodal models. Has anybody found any models better at image or audio analysis?

Came here to ask basically this. We use 3.1 Pro internally and it's great.

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

#199
post #169
post #79

Earlier quoted context omitted.

I am growing tired of these pelicans posts every time a new model is published. Feels to me like low effort personal brand promotion. Just sharing my 2 cents.

You and a few other people, but enough people still appreciate the bit that I'm going to keep doing it. They're easy enough to skip - click the little "-" icon and you'll collapse the entire sub-thread.

+1. First thing I look for in a model announcement thread. I actually came across this one an hour ago and was sad there were no pelicans yet.

It's a decent heuristic because the better models generate better pelicans. That's all. Nobody sane is going to make a bet on a model based on a pelican. But it's cool, it's tradition by now, and it's a semblance of a good first impression for new models.

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