Introducing WeatherNext 3️⃣ — our most advanced global weather AI model yet from Google DeepMind and Google Research. With prediction capabilities that are up to 5x sharper than WeatherNext 2, the model generates a forecast with high spatial resolution in order to catch fast-evolving rainstorms, map local temperature shifts, and even help wind farms predict their power output. So, how does it do that? While traditional weather models rely on massive, physics-based supercomputer simulations that can carry a 6-hour forecast lag, WeatherNext 3 leverages live geostationary satellite observations as inputs and trains directly on real-world surface and atmospheric observations. By pulling this raw satellite data, it’s able to update the global forecast every single hour. And because weather develops at lightning speed, these quick, detailed insights can help bring more localized forecasting to billions of people and local businesses, especially in regions that are historically underserved due to the high costs of traditional weather forecasting models.
About us
Our goal is to equip developers with the most advanced models to build new applications, helpful tools to write better and faster code, and make it easy to integrate across platforms and devices.
- Website
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https://goo.gle/ai-devs
External link for Google AI
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
Updates
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Identifying security flaws is only half the battle; generating automated, reliable fixes in real time is where defense gets real. Enter Gemini 3.8 Flash Cyber ⚡️🛡 The new release is a major improvement from our 3.5 generation and among our most capable defensive models to date. Built specifically for defenders (like security teams), it acts as an expert partner to help write new code to fix flaws at scale, a process known as patch generation. We’re already using it to secure Google's own code, helping our Google Chrome team produce 2.6X more correct patches than top commercial models. Even better? It brings a cost advantage by delivering frontier-level performance for a fraction of the price.
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We’re introducing Gemini 3.8 Flash ⚡️ built to tackle complex agentic and multi-step tasks with even greater diligence: https://goo.gle/4qUjmaX Our most intelligent workhorse model yet delivers significant improvements in reasoning, evolving to an AI partner that doesn’t just write code, but can also navigate complex projects. While solving ambiguous and high-friction tasks is immensely helpful, it can also be expensive. Fortunately, 3.8 Flash features the usual effort controls, ensuring that the amount of thinking required to accomplish the task at hand is proportional to the tokens spent. — Available to Google AI Pro and Ultra subscribers across the Gemini App, AI Mode in Google Search, and Google Sheets — Build in the Gemini API via Google AI Studio and Android Studio, explore agent-first workflows in Google Antigravity, and generate UIs with 3.8 Flash in Google Stitch — Gemini Enterprise users by picking it from the drop down model menu or in Gemini Enterprise Agent Platform
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Predicting how tropical cyclones (also known as hurricanes or typhoons) develop and move is notoriously tricky, and every single hour of advance warning counts. Recently, we published a paper on WeatherNext, our AI model for global weather forecasting from Google DeepMind and Google Research. To tackle extreme storms, we built WeatherNext Cyclones to seamlessly bridge the gap between global weather patterns and local storm details to completely revolutionize how we track cyclones. This isn't just happening in a lab — WeatherNext Cyclones was put to the test during the 2025 hurricane season, marking the first time the U.S. National Hurricane Center used AI models in real-time operations. Meteorologists used it to make a historic forecast for Hurricane Melissa’s Category 5 landfall in Jamaica, giving local officials critical extra time to prepare. Historically, meteorologists have faced a tough-trade off when attempting to track cyclones. To track a storm's path, they relied on massive, physics-based supercomputer models, which are great at capturing broad weather patterns sweeping across the planet. But to understand the intense, localized physics driving how strong the storm would get, they had to switch to entirely different "zoomed-in” regional models. WeatherNext Cyclones can predict a storm's track, intensity, and size all at once, giving forecasters an extra full day of advance warning compared to previous systems. To put that in perspective, our three-day forecasts are now as accurate as older two-day forecasts. Historically, it took a full decade of meteorological progress to squeeze out that kind of improvement, and we’ve delivered it in a single modeling leap. The model is also incredibly fast, generating up to 1,000 individual simulations per storm. Instead of just one "most-likely" path, forecasters get a much fuller picture of all possible outcomes, making it easier to spot dangerous events like rapid intensification (when a storm's maximum sustained winds increase by 30 knots or more in 24 hours).
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We told you that Omni 1.1 launched — now, let us show you how it’s being used in the real world. Say you’re putting a property up for rent and want it to stand out amongst the other homes available. Every listing has beautiful photos, but with Omni 1.1, your listing can invite viewers in the front door. We built this app that moves the POV camera through the space by turning static photos into cinematic 4K home tours. It arcs, it pushes in, it pulls back. It shows the home in an aspirational state, at the perfect time of day, and it doesn’t add or change any details of your source images. What are some ways you can use Omni 1.1 in your daily life? We want to hear from you — share in the comments below!
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⚡️ Introducing Gemini Omni 1.1 Flash, our newest multimodal model for video generation and editing ⚡️ The model features your favorite creative controls from Veo, plus new capabilities like 4K upscaling, first / last frame control, and fast 360p drafting. But the upgrade we're most excited about is next-level scene extension. With Omni 1.1, you can extend scenes based on 10 seconds of context from your original video (a big jump from Veo's 1 second)! This enables tighter consistency, deeper control, and longer, more cohesive storytelling. See scene extension in action 🎥 ⬇️
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Today, we’re introducing Gemini 3.5 Transcribe, our most precise speech-to-text model yet. Unlike conventional speech recognition models that struggle with background noise, complex jargon, and cleaning up filler words or verbal stumbles, Gemini 3.5 Transcribe converts raw audio directly into accurate, polished, context-aware understanding. Key Model Capabilities: The model captures your natural speaking style, better understands your intent, and recognize custom vocabulary — making it easier than ever for you to execute tasks with your voice. Let’s dig into the capabilities that make this possible. 🗺️ Global language support: Automatically detects and transcribes over 85 languages while understanding regional accents and diverse dialects 🎙️ Smart transcription: Seamlessly handles self-corrections ("the game is on Saturday - no, Sunday"), removes filler words, and auto-formats your text 🛠️ Function calling: In the Gemini macOS app, the model natively delegates complex background tasks (image generation, file analysis, etc.) to other Gemini models that can get the work done 🎯 More precise transcriptions: Achieves minimal Word Error Rate (WER) for streaming and pre-recorded audio across noisy, real-world environments, while precisely capturing alphanumeric entities such as postal codes and order IDs 💬 Custom vocabulary: Adapts to provided specialized jargon, unique brand spellings, and technical terminology 👥 Multi-speaker identification: Attributes speech in pre-recorded audio with timestamps for up to three speakers (support for 3+ speakers is experimental) For developers, we built 3.5 Transcribe to plug seamlessly into your workflows. The model is available across two separate APIs: 🔊 Real-time streaming: Delivers continuous, bidirectional streaming with sub-second latency for interactive voice apps via the Live API using gemini-3.5-transcribe-live 🔊 Pre-recorded audio processing: Transcribes recorded audio, meetings, call logs, and more with speaker attribution and word-level timestamps via the Interactions API using gemini-3.5-transcribe Availability: - Everyone: Gemini app on macOS in English, Rambler on Android in select countries and languages, and coming soon to Google Chrome - Enterprises: In public preview via Gemini Enterprise Agent Platform and coming soon to the Gemini Enterprise for Customer Experience - Developers: In public preview in the Gemini API via Google AI Studio and Google Antigravity - Developer ecosystem: Live integration available via Agora, Fishjam, LangChain, LiveKit, Pipecat, Vercel, and Vision Agents Really, you have to hear it to believe it.