Google just opened preview access to image generation and editing capabilities inside Gemini 2.0 Flash. Developers can now plug conversational image creation directly into their apps via Google AI Studio and Vertex AI APIs, backed by higher rate limits. It is a major step toward making multimodal text-and-image outputs practical for production builds.
Google just opened native image generation in Gemini 2.0 Flash to all developers via Google AI Studio and its API. Built from the ground up to output images natively, the model handles multi-turn conversational editing, preserves character consistency across prompts, and renders in-image text far better than typical diffusion models.
ElevenLabs just launched its voice AI models on Google Cloud Marketplace. Enterprises can now easily pair ElevenLabs' lifelike speech generation with Google's fast Gemini 2.0 Flash model to build real-time conversational agents, localized dubbing, and marketing voiceovers within their existing cloud setup.
Google just launched Gemini 2.0 Flash-Lite for general availability across the Gemini API, Google AI Studio, and Vertex AI. The lightweight model beats 1.5 Flash on reasoning and math benchmarks while offering cheaper long-context pricing at $0.10 per million input tokens.
Google just made Gemini 2.0 Flash generally available to everyone and introduced an experimental Gemini 2.0 Pro packing a massive 2M-token context window for heavy coding and reasoning tasks. The lineup also adds Flash-Lite, offering 1.5 Flash performance at cut-rate pricing. Gemini Advanced users can already pick the Pro model from the app switcher.
Google just revamped NotebookLM with experimental Gemini 2.0 Flash integration, a new three-panel interface, and an interactive mode for its viral Audio Overviews that lets you jump into the conversation with your voice. The company is also rolling out NotebookLM Plus, a premium tier offering over 5x higher limits for heavy users and enterprises.
Google just rolled out Deep Research for Gemini Advanced users, turning the assistant into an autonomous research partner. It creates a multi-step search plan, browses the web across several passes, and compiles findings into a clean report with source links. Plus, a speedy experimental preview of Gemini 2.0 Flash is now open to all Gemini users on the web.
Google just introduced its next-gen Gemini 2.0 model family, rolling out Gemini 2.0 Flash Experimental to developers and Gemini web users today. The new model beats 1.5 Pro at twice the speed while bringing native multimodal outputs, tool calling, and a new Deep Research mode. Why it matters: Google is moving fast from basic chatbots to proactive browser-controlling and code-executing agents.
