Every deployment from Google DeepMind in The Deploy Log, 32 rows, newest first.
WeatherNext 3 generates hourly forecasts at 5-kilometer resolution, five times sharper than WeatherNext 2, and is integrated across Google Search, Gemini app, Google Maps, Google Maps Platform Weather API, and Google Earth Engine starting today.
Gemini 3.7 Flash is available at $0.75 per 1M input tokens and $3.75 per 1M output tokens through the end of the year, half the original 3.6 Flash cost per million tokens.
Google DeepMind introduced SL2T, a sign-language-to-text model powering sign-to-text dictation in Gboard and Live Transcribe on Pixel 11, starting with ASL to English.
Gemini Robotics ER 2 is now publicly available via the Gemini API, Google AI Studio, and in private preview on Gemini Enterprise Agent Platform, with 57.4% accuracy on progress classification and 91.3% accuracy with 0.96s mean absolute distance on moment-finding.
Nano Banana 2 Lite delivers text-to-image outputs in 4 seconds at $0.034 per 1K image, and is available today in Google AI Studio, Gemini API, and Gemini Enterprise Agent Platform.
Google DeepMind's AI Control Roadmap treats AI agents as potential insider threats, using supervisors to monitor and block harmful actions.
Google DeepMind is partnering with the UK government to build an AI planning prototype aiming to cut application decision times by 50%.
Gemma 4 12B is an encoder-free multimodal model that runs locally with 16GB of VRAM or unified memory, and Gemma 4 models have crossed 150 million downloads.
Project Genie now grounds generated worlds in Google Street View imagery for places in the U.S., and access is rolling out to all eligible Google AI Ultra $200 subscribers globally.
Gemini 3.5 Flash is generally available via Google Antigravity, the Gemini API in Google AI Studio and Android Studio, Gemini Enterprise Agent Platform and Gemini Enterprise, and in the Gemini app and AI Mode in Search. It scores 76.2% on Terminal-Bench 2.1, 1656 Elo on GDPval-AA, and 83.6% on MCP Atlas, outperforming Gemini 3.1 Pro.
Gemini 3.1 Flash TTS achieved an Elo score of 1,211 on the Artificial Analysis TTS leaderboard and supports 70+ languages with audio tags for controlling vocal style, pace, and delivery.
Gemma 4 ships in four sizes: Effective 2B, Effective 4B, 26B MoE, and 31B Dense. The 31B ranks #3 among open models on the Arena AI text leaderboard, and the 26B ranks #6. The 26B MoE activates only 3.8 billion parameters during inference.
Google's highest-quality audio model, with ComplexFuncBench Audio at 90.8% and Scale AI Audio MultiChallenge at 36.1% with thinking on. Gemini Live follows conversation for twice as long and Search Live expands to over 200 countries.
Lyria 3 Pro creates tracks up to 3 minutes long with intros, verses, choruses, and bridges, available in Vertex AI, Google AI Studio, the Gemini API, Google Vids, the Gemini app, and ProducerAI.
Gemini 3.1 Flash-Lite is rolling out in preview via the Gemini API in Google AI Studio and Vertex AI, priced at $0.25 per 1M input tokens and $1.50 per 1M output tokens. It achieves 86.9% on GPQA Diamond and 76.8% on MMMU Pro.
Nano Banana 2, also called Gemini 3.1 Flash Image, launched on February 26, 2026 with Pro level world knowledge, subject consistency for up to five characters, and resolutions from 512px to 4K at Flash speed.
Gemini 3.1 Pro is rolling out in preview via the Gemini API in Google AI Studio, Gemini CLI, Google Antigravity, Android Studio, Vertex AI, Gemini Enterprise, the Gemini app, and NotebookLM. On ARC-AGI-2 it achieved a verified score of 77.1%, more than double the reasoning performance of 3 Pro.
Lyria 3, Google DeepMind's latest generative music model, is rolling out in beta in the Gemini app, letting anyone make 30-second tracks from text or images with custom cover art generated by Nano Banana.
Google DeepMind released a major upgrade to Gemini 3 Deep Think, now available in the Gemini app for Google AI Ultra subscribers, with 48.4% on Humanity's Last Exam without tools, 84.6% on ARC-AGI-2, and an Elo of 3455 on Codeforces.
Google DeepMind rolled out Project Genie to Google AI Ultra subscribers in the U.S. aged 18 and over, a prototype web app powered by Genie 3 that generates interactive worlds in real time from text and image prompts.
Veo 3.1 Ingredients to Video now supports native vertical 9:16 output, richer dialogue, consistent characters and backgrounds, and upscaling to 1080p and 4K.
Gemini 3 Flash offers Pro-grade reasoning at Flash-level latency, efficiency, and cost. It scores 90.4% on GPQA Diamond, 33.7% on Humanity's Last Exam without tools, 81.2% on MMMU Pro, and 78% on SWE-bench Verified, outperforming Gemini 2.5 Pro and Gemini 3 Pro on that coding benchmark. It uses 30% fewer tokens on average than 2.5 Pro and is 3x faster.
Gemma Scope 2 is an open suite of interpretability tools for all Gemma 3 model sizes from 270M to 27B parameters, produced by storing approximately 110 Petabytes of data and training over 1 trillion total parameters.
Gemini 2.5 Flash Native Audio leads ComplexFuncBench Audio at 71.5%, with 90% instruction adherence, and adds live speech translation in 70+ languages.
Gemini 3 Pro is available today in the Gemini app, AI Studio, Vertex AI, and Google Antigravity. It tops the LMArena Leaderboard with a score of 1501 Elo and scores 76.2% on SWE-bench Verified.
Google Antigravity is available in public preview at no charge with generous rate limits on Gemini 3 Pro usage, and includes access to Gemini 3, Claude Sonnet 4.5, and OpenAI's GPT-OSS.
Nano Banana Pro, built on Gemini 3 Pro, generates images with legible text in multiple languages, blends up to 14 images, maintains consistency of up to 5 people, and supports 2K and 4K resolution.
Google launched AI image verification in the Gemini app using SynthID, letting users upload an image and ask if it was generated or edited by Google AI.
SIMA 2 integrates Gemini models to reason about goals, converse with users, and improve itself through self-directed play in virtual 3D worlds.
The stable version of Gemini 2.5 Flash-Lite is now generally available at $0.10 per 1M input tokens and $0.40 per 1M output tokens, with a 1 million-token context window and optional reasoning.
Google DeepMind released pretrained and instruction-tuned T5Gemma encoder-decoder checkpoints from T5 Small to 9B, including an unbalanced 9B encoder with 2B decoder.
MedGemma 27B Multimodal adds image and text inputs, scoring 87.7% on MedQA, within 3 points of DeepSeek R1 at one tenth the inference cost.
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