The artificial intelligence race is heating up, and Google is stepping up its game with the release of Gemini 2.0 Flash, an advanced AI model designed to challenge OpenAI's o3 and DeepSeek's R1.

First up, the Gemini 2.0 Flash model that appeared in December for a select few is now rolling out to everyone, so you'll see it in the Gemini apps on desktop and mobile (this actually began ...

It replaces Gemini 2.0 Flash experimental, which was once exclusively for subscribers, and will eventually replace Gemini 1.5 Flash and Gemini 1.5 Pro. Google One AI Premium subscribers still get ...

Following Thursday’s announcement, Gemini 2.0 Flash is now appearing in the Gemini app on Android and iOS. Last week, Gemini 2.0 Flash dropped its experimental status after entering testing in ...

Google announced Gemini 2.0 back in December. Those models included Gemini 2.0 Flash, which was initially available in experimental form. Today Google graduates 2.0 Flash to full-blown status ...

Google is following the consumer launch of 2.0 Flash with new preview models that will be available to test in the Gemini app: 2.0 Pro Experimental and 2.0 Flash Thinking Experimental. In December ...

Just last week, Google rolled out Gemini 2.0 Flash to all Gemini app users on mobile and desktop. Building on that momentum, Google is now expanding access and adding to its Gemini model offerings.

Google really wants you to know that Gemini 2.0 Flash is a big deal. It's the first generally released member of the Gemini 2.0 family, and the company is hyping it up as faster, smarter ...

Google announced that Gemini 2.0 Flash AI is now rolling out to all users in the Gemini app on both desktop and mobile. It appears to be rolling out on desktop more quickly, as I saw it on my ...

Today, the company announced the general release of Gemini 2.0 Flash, introduced Gemini 2.0 Flash-Lite, and rolled out an experimental version of Gemini 2.0 Pro. These models, designed to support ...

Gemini, Google's AI assistant now provides the 2.0 Flash model to all users. Previously available in experimental mode, this LLM is now stable and can be accessed via the web app and the Android app.