What shipped in AI.

Gemini 4 Hydrogen is a Google DeepMind model built for fast execution in agentic workflows and everyday coding. The announcement cites a score of 51 on the Artificial Analysis Intelligence Index (Argon: 50) and a price of $1.50 per million input tokens.

Gemini 4 Carbon is Google's strongest model for multi-step coding, debugging and open-ended scientific research, using more tokens than Argon to reason and verify. API pricing is introductory at $2 per million input and $10 per million output tokens.

Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash. It generates clips up to 15 seconds long with native...

Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview. It is suited for text-to-video, image-to-video, first and...

Gemini 4 Argon produces strong SVG illustrations and a Blender model, according to Simon Willison's hands-on review. Launch pricing is 2 USD per million input and 10 USD per million output tokens, set to double on December 1.

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

DiarizationLM is a Large Language Model framework designed to post-process, correct, and optimize automatic speech recognition (ASR) and speaker diarization outputs.

Gemini 3.8 Live with Live Avatar pairs live speech dialogue with near real-time video generation, so an agent can listen, see, and speak through a visual persona. Tool calls run in the background while the conversation continues.

Open embedding model from Google DeepMind that maps text including code, images, video and audio into one shared 768-dimensional vector space. Designed for on-device use in search, RAG, classification and clustering.

WeatherNext 3 is Google DeepMind's AI weather forecasting model. It uses real-time satellite data for hourly updates with higher resolution and more precise precipitation forecasts, and is integrated into Search, Gemini, Maps and Google Cloud.

Gemini 3.8 Live with Live Avatar pairs native live dialogue with near real-time video, so the persona listens, sees and speaks with lip-sync. Tool calls run in the background while the conversation continues. Available in Gemini Enterprise.

Google describes Gemini 3.7 Flash as its most intelligent workhorse model for coding and agents. Vendor-reported results show gains over Gemini 3.6 Flash, for example 65.3% vs 49.0% on DeepSWE v1.1.

Workhorse model for agents, coding and knowledge work. According to the Artificial Analysis Index it uses 17% fewer output tokens than 3.5 Flash. Priced at $1.50 per 1M input and $7.50 per 1M output tokens.

Google's fastest and most cost-effective 3.5-class model, aimed at scaling AI agents. The Artificial Analysis Index reports 350 output tokens per second, and the announcement says it significantly outperforms earlier Flash-Lite generations in agentic workflows.

Gemini 3.5 Flash Cyber is a lightweight model fine-tuned from 3.5 Flash to find, validate, and patch software vulnerabilities. Google says it outperforms its mainline Flash models on these tasks at lower cost than larger cybersecurity models.

The source describes Google Pics, an image tool in Google Workspace built on the Nano Banana model. It lists text-prompt image generation, object isolation and text editing inside images, but does not mention the Lite variant.

TabFM is a zero-shot foundation model for classification and regression on tabular data with mixed numerical and categorical columns. Training examples are passed as context in a single forward pass, with no fine-tuning, and the model card reports it outperforming tuned gradient-boosted tree baselines on TabArena.

Nano Banana Pro is a Google DeepMind image model. The announced Google Pics Workspace tool is built on the Nano Banana image model and generates and edits images from text prompts, including isolating objects and editing or translating text inside images.

Google's latest Gemini Flash generation with native image input/output. Available on OpenRouter ($0.50/$3 per MTok). Gemini 3.x is a standalone series alongside Gemini 2.5.

Open-weights multimodal model from Google DeepMind that takes text, image and video input and outputs text. It denoises 256-token blocks in parallel via diffusion instead of generating token by token, aimed at speed. The model card reports most benchmark scores below those of Gemma 4 26B A4B.

Google's current Flash generation: 1M context, all modalities, $1.50/$9 per MTok on OpenRouter. Gemini 3.5 Flash is the speed tier of the Gemini 3.x series that replaces Gemini 2.5.

Google's cheapest Gemini 3.x option: 1M context, $0.25/$1.50 per MTok. The 'Lite' variant is the first choice when token costs are critical and multimodality is needed.

Google's on-device multimodal model: handles text, image, video AND audio at just 4B effective parameters. MatFormer architecture enables sub-models within the same checkpoint. Designed for edge deployments.

Google's open-weights flagship: 27B (also 1B, 4B, 12B), 128K context, text+image, 140+ languages. Gemma 3 is the basis for many community fine-tunes. Superseded by Gemma 4.