Google

Google releases Gemini 3.5 Flash in general availability, showcasing significant speedups in lightweight tool-calling capabilities and ultra-low-latency workflows.

Google launches Gemini 3.1 Pro, a major agentic reasoning update to its flagship model series. Delivering native deep search execution, reinforcement-learning based planning, and substantial code-generation gains.

Google introduces Gemini 3 Pro, focusing on advanced multi-step planning, long-horizon tool execution, and deeper Google Workspace integrations.

Gemini downloads surge above 20 million weekly, driven largely by viral image generation (the "nano banana" model concept) resulting from Google I/O updates. Gemini solidifies its position as the clear #2 consumer AI, reaching 200–250M WAUs.

Google ships Gemini 2.5 Flash, bringing major architectural speed and multi-lingual reasoning improvements to its widely used efficiency model.

Google launches Gemini 2.5 Pro Experimental, focusing on advanced coding reasoning and complex multi-modal analysis.

Google's agent platform layer for enterprises, integrating Gemini with Google Workspace and third-party data.

Google's research preview of a Chrome-integrated browser agent built on Gemini 2.0.

Google rolls out Gemini 1.5 Flash at Google I/O, optimized for speed and cost while retaining the signature 1-million token context window.

Google's enterprise developer assistant, integrated with the GCP and Workspace surfaces.

Google launches Gemini 1.5 Pro in limited preview, introducing the first native 1-million token context window in LLM history.

Google rebranded Bard to Gemini and launched the Advanced paid tier on top of the rebrand.

Google introduces Gemini 1.0 in Ultra, Pro, and Nano tiers, its first native multimodal architecture designed from scratch.