Gemini 2.5 is leaving preview just in time for Google’s new $250 AI subscription

INSUBCONTINENT EXCLUSIVE:
So what does your $250 get you every month? You'll get all the models included with the basic plan with much higher usage limits
If you're using video and image generation, for instance, you won't bump against any limits
Plus, Ultra comes with the newest and most expensive models
For example, Ultra subs will get immediate access to Gemini in Chrome, as well as a new agentic model capable of computer use in the Gemini
API (Project Mariner). Gemini Ultra has everything from Pro, plus higher limits and instant access to new tools.
Credit: Ryan Whitwam That's probably still not worth it for most Gemini users, but Google is
offering a deal right now
Ultra subscribers will get a 50 percent discount for the first three months, but $125 is still a tough sell for AI
It's available in the US today and will come to other regions soon.Google previewed what could be an important advancement in generative AI
for the future
Most of the text and code-based outputs you've seen are generated from beginning to end, token by token
Its large language model (LLM) Diffusion works a bit differently for image generation, but Google is now experimenting with Gemini
Diffusion.Diffusion models create images by starting with random noise and then denoise it to create what you asked for
Gemini Diffusion works similarly, generating entire blocks of tokens at the same time
The model can therefore work much faster, and it can check its work as it goes to make the final output more accurate than comparable LLMs
Google says Gemini Diffusion is 2.5 times faster than Gemini 2.5 Flash Lite, which is its fastest standard model, while also producing much
better results.Google claims Gemini Diffusion is capable of previously unheard-of accuracy in complex math and coding
However, it's not being released right away like many of the other I/O Gemini features
Google DeepMind is accepting applications to test it, but it may be a while before the model exits the experimental stage.Even though I/O
was wall-to-wall Gemini, Google still has much, much more AI in store