Google just released the stable, generally available version of Gemini 2.5 Flash-Lite, its fastest and lowest-cost model in the 2.5 family. Priced at $0.10 per million input tokens with a 1M context window, it cuts audio pricing and brings native controllable reasoning. It is essentially built for developers who need rock-bottom latency and costs without giving up output quality.
Google just rolled out an upgraded preview of Gemini 2.5 Pro before its general availability in a couple of weeks. The update gained 24 Elo points on LMArena to hit 1470, improves formatting and creative writing, and introduces thinking budgets in Google AI Studio to let developers manage latency and cost.
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 dropped an updated Gemini 2.5 Pro Preview ahead of I/O, packing big upgrades for coding and UI development. It took the #1 spot on the WebDev Arena leaderboard, handles complex backend refactors with ease, and can turn YouTube videos into interactive web apps. The update rolls out automatically to existing API endpoints at the same price.
Google just opened its Veo 2 video model to developers through Google AI Studio and the paid Gemini API tier. The model turns text or image prompts into eight-second clips with realistic physics and camera controls. It means apps can now generate commercial-grade motion clips without custom video pipelines.
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.
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 added conversation branching to Google AI Studio for Gemini models, letting developers branch off prompt experiments without messing up the main thread. It makes multi-turn prompt debugging and alternative ideation far easier. You will need to toggle on Drive Access and Auto Save in settings first.
Google just added Grounding with Google Search to Google AI Studio and the Gemini API, letting Gemini 1.5 fetch live web answers with inline citations. Testing is free inside AI Studio, while API access runs $35 per 1,000 grounded queries. Why it matters: developers can finally plug Google's web index directly into Gemini without messy custom retrieval pipelines.
Google just shipped a streamlined mobile experience for Google AI Studio, stripping away clutter and putting models front and center. The redesign makes prompting and testing models significantly easier and faster while on the go.
Google just slashed Gemini 1.5 Flash pricing, cutting input costs by 78% to $0.075 per million tokens and output by 71% starting August 12. The update also rolls out text tuning to all developers via AI Studio and the Gemini API, alongside native multimodal understanding for image-heavy PDFs.
Google just announced its next-gen AI model Gemini 1.5, led by 1.5 Pro built on a Mixture-of-Experts architecture. It matches flagship 1.0 Ultra quality with far less compute while shattering context limits with support for up to 1 million tokens—enough for an hour of video or 30,000 lines of code. It's rolling out now in limited preview for developers and enterprise users.
Google just launched the Gemini Pro and Gemini Pro Vision APIs for developers and enterprise customers. The models feature a 32K context window, function calling, and support across 38 languages. Devs can experiment for free via Google AI Studio with up to 60 requests per minute before paid tiers arrive next year.
