Google Releases New Gemini 2.0 Models, Expands AI Capabilities
Google DeepMind has made available Gemini 2.0 Flash and introduced new models, including Gemini 2.0 Pro Experimental and Gemini 2.0 Flash-Lite. These updates improve performance, cost efficiency, and versatility for developers and users.
Gemini 2.0 Flash Updates
Gemini 2.0 Flash, first introduced at I/O 2024, is now widely accessible via the Gemini API in Google AI Studio and Vertex AI. The model, known for its 1 million token context window, is optimised for high-volume tasks and multimodal reasoning. Koray Kavukcuoglu, CTO of Google DeepMind, mentioned, "We've been thrilled to see its reception by the developer community." Besides, the update brings improved benchmarks, with image generation and text-to-speech capabilities expected soon.
Introducing Gemini 2.0 Pro Experimental
Alongside Gemini 2.0 Flash, Google has launched Gemini 2.0 Pro Experimental, designed for coding performance and complex prompts. This model features a 2 million token context window, the largest in the Gemini lineup, and supports tools like Google Search and code execution. Kavukcuoglu highlighted, "It has the strongest coding performance and ability to handle complex prompts." The experimental version is available in Google AI Studio, Vertex AI, and the Gemini app for advanced users.
Gemini 2.0 Flash-Lite
For cost-sensitive applications, Google introduced Gemini 2.0 Flash-Lite, a more efficient model that outperforms its predecessor, 1.5 Flash, on most benchmarks. Priced competitively, it can generate captions for 40,000 photos at a cost of less than $1 in Google AI Studio's paid tier. Google emphasized its commitment to safety, using reinforcement learning techniques and automated red teaming to address risks. Kavukcuoglu stated, "We'll continue to invest in robust measures that enable safe and secure use."
Google's AI Policy Update
Google recently updated its AI principles, removing explicit bans on using AI for weapons and surveillance. This change departs from its previous stance, which explicitly prohibited such uses since 2018. The updated policy now focuses on risk-benefit analysis, stating that AI development will proceed where "the overall likely benefits substantially exceed the foreseeable risks and downsides."
The next chapter of the Gemini era for developers
The 2.0 Flash Thinking Experimental model will also be available to Gemini app users, accessible via the model dropdown on both desktop and mobile devices. Pricing details and further information are available on the Google for Developers blog. In the coming months, the company plans to expand multimodal capabilities and improve the Gemini 2.0 family.
AI does not necessarily need a human to address problems created by it; it needs another form of AI. Rising 2025, India's leading DEI summit in tech and AI, delves into actionable strategies, challenges, and innovations driving inclusivity.
For advertising inquiries in AIM, you can book here. Reach out via email at [email protected] for any queries.
Our Offices:
AIM India
1st Floor, Sakti Statesman, Marathahalli – Sarjapur Outer Ring Rd, Green Glen Layout, Bellandur, Bengaluru, Karnataka 560103
AIM Americas
99 South Almaden Blvd. Suite 600 San Jose California 95113 USA
© Analytics India Magazine Pvt Ltd & AIM Media House LLC 2025
