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Gemini 2.5 Deep Think

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Re: Gemini 2.5 Deep Think

#51

I started doing some experimentation with this new Deep Think agent, and after five prompts I reached my daily usage limit. For $250 USD/mo that’s what you’ll be getting folks. It’s just bizarrely uncompetitive with o3-pro and Grok 4 Heavy. Anecdotally (from my experience) this was the one feature that enthusiasts in the AI community were interested in to justify the exorbitant price of Google’s Ultra subscription. I…

Interestingly Gemini CLI has a very generous free quota. Is Google's strategy just overpricing some stuff and subsidizing the underpriced stuff?

It doesn't, it's not "1000 Gemini Pro" requests for free, Google misled everyone. It's 1000 Gemini requests, Flash included. You get like 5-7 Gemini Pro requests before you get limited.

Re: Gemini 2.5 Deep Think

#53

I started doing some experimentation with this new Deep Think agent, and after five prompts I reached my daily usage limit. For $250 USD/mo that’s what you’ll be getting folks. It’s just bizarrely uncompetitive with o3-pro and Grok 4 Heavy. Anecdotally (from my experience) this was the one feature that enthusiasts in the AI community were interested in to justify the exorbitant price of Google’s Ultra subscription. I…

Interestingly Gemini CLI has a very generous free quota. Is Google's strategy just overpricing some stuff and subsidizing the underpriced stuff?

I've found the free version swaps away from pro incredibly fast. But our company has gemini but can't even get that - we were being asked to do everything by API key.

Re: Gemini 2.5 Deep Think

#54

Ladies and Gentlemen, Here's Gemini Deep Think when prompted with: "Create a svg of a pelican riding on a bicycle" https://www.svgviewer.dev/s/5R5iTexQ Beat Simon Willison to it :)

How much would it cost at list-price API pricing?

Re: Gemini 2.5 Deep Think

#55

I'm wondering if 'slow AI' like this is a temporary bridge, or a whole new category we need to get used to. Is the future really about having these specialized 'deep thinkers' alongside our fast, everyday models? Or is this just a clunky V1 until the main models get this powerful on their own in seconds?

It's not unreasonable to think that with improvements on the software side - a Saturn-like model based on diffusion could be this powerful within a decade - with 1s responses.

I'd highly doubt in 10 years, people are waiting 30m for answers of this quality - either due to the software side, the hardware side, and/or scaling.

It's possible in 10 years, the cost you pay is still comparable, but I doubt the time will be 30m.

It's also possible that there's still top-tier models like this that use absurd amounts of resources (by today's standards) and take 30m - but they'd likely be at a much higher quality than today's.

Re: Gemini 2.5 Deep Think

#56

Earlier quoted context omitted.

it turns out that AI at this level is very expensive to run (capex, energy). my bet is that AI itself won't figure out how to overcome these constraints and reach escape velocity.

Mainframes are the only viable way to build computers. Micro processors will never figure out how to get small and fast enough for personal computers to reach escape velocity.

Why do you think the analogy hold?

Re: Gemini 2.5 Deep Think

#57
Been using Gemini for a few months, somehow it's gotten much, much worse in that time. Hallucinations are very common, and it will argue with you when you point it out. So, don't have much confidence.

Re: Gemini 2.5 Deep Think

#58

I'm wondering if 'slow AI' like this is a temporary bridge, or a whole new category we need to get used to. Is the future really about having these specialized 'deep thinkers' alongside our fast, everyday models? Or is this just a clunky V1 until the main models get this powerful on their own in seconds?

It's not unreasonable to think that with improvements on the software side - a Saturn-like model based on diffusion could be this powerful within a decade - with 1s responses. I'd highly doubt in 10 years, people are waiting 30m for answers of this quality - either due to the software side, the hardware side, and/or scaling. It's possible in 10 years, the cost you pay is still comparable, but I doubt the time will be…

The pressure in the other direction is tool use. The more a model wants to call out to a series of tools, the more the delay will be, just because it the serial process isn't part of the model.

Re: Gemini 2.5 Deep Think

#59

I started doing some experimentation with this new Deep Think agent, and after five prompts I reached my daily usage limit. For $250 USD/mo that’s what you’ll be getting folks. It’s just bizarrely uncompetitive with o3-pro and Grok 4 Heavy. Anecdotally (from my experience) this was the one feature that enthusiasts in the AI community were interested in to justify the exorbitant price of Google’s Ultra subscription. I…

They might not have been ready/optimized for production, but still wanted to release it before Aug 2 EU AI Act, this way they have 2 years for compliance. So the strategy with aggressively rate-limit for few users make sense.

Re: Gemini 2.5 Deep Think

#60

Earlier quoted context omitted.

Interestingly Gemini CLI has a very generous free quota. Is Google's strategy just overpricing some stuff and subsidizing the underpriced stuff?

It doesn't, it's not "1000 Gemini Pro" requests for free, Google misled everyone. It's 1000 Gemini requests, Flash included. You get like 5-7 Gemini Pro requests before you get limited.

I'm getting 100 Gemini Pro requests per day with an AI Studio API key that doesn't have billing enabled.

After that it's bumped down to Flash, which is surpisingly effective in Gemini CLI.

If I need Pro, I just swap in an API from an account with billing enabled, but usually 100 requests is enough for a day of work.

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