I struggle to see any value in this when DeepSeek is still a thing.
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
#42Google watches over the last few months a flat out assault on the Pareto curve from American and Chinese companies. Release after release pushing the boundaries of frontier intelligence and price/performance.
And the response from arguably the biggest AI research labs in the world by headcount is Flash 3.6.
What do you do when you are given essentially unlimited resources and still find yourself falling behind?
Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
#43It'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.
Light. Lite is product marketing seepage.
Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
#44Are they comparing 3.6 Flash to 5.6 Luna and losing? That's ruff.
Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
#45It is both less intelligent and more expensive than GLM-5.2, while being closed weight.
Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
#46Pretty underwhelming, as expected honestly. I don't want to know what morale is like at DeepMind right now.
Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
#47"We made 3.6/4 Pro, but it sucks, so this is the distilled model" vibes.
Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
#48Re: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
#49Meaning, its predictable with tool calls, wont spin off a million tools/do weird behavior, its reasonable. Even sonnet in a real world decision making scenario is not reliable, or will reason so long its incredibly expensive.
The benchmarks arent catching all the value, and most people have never actually ran an ai agent in a real context that matters