What shipped in AI.

Gemini 3.8 Live erweitert ein Live-Dialytemodell um eine Videoavatar-Funktion, die Sprache und visuelles Feedback simultan verarbeitet — mit Lippen-Sync, multi-modalen Eingaben (Video plus Audio) und asynchronem Tool-Calling waehrend des Dialoges. Es laeuft nahtlos ueber 97 Sprachen hinweg ohne Abbruch der Videofidelitaet.

AI weather model that uses real-time satellite data instead of traditional physics simulations to produce hourly forecasts at five times the resolution of its predecessor. Also tracks precipitation and includes clean-energy variables.

Gemini 3.8 Live adds near real-time streaming video with expressive avatars — it processes audio and visual inputs simultaneously, supports precise lip-syncing across 97 languages, and can execute tool calls asynchronously while maintaining an uninterrupted conversation.

Gemini 3.7 is a model developed by Google DeepMind, featuring two variants: Flash and Flash Batch. It has a context window of 1,048,576 tokens.

Gemini 3.6 Flash consumes 17 % fewer output tokens than its predecessor and completes multi-step workflows with fewer reasoning steps and tool calls. It targets coding, knowledge work, and agentic automation at lower cost.

Fastest and most cost-effective 3.5-class model delivering 350 output tokens per second according to the Artificial Analysis Index, significantly outperforming prior Flash-Lite generations in agentic workflows.

A lightweight cybersecurity model built on Gemini 3.5 Flash and fine-tuned to find, validate, and patch software vulnerabilities in code more efficiently than the mainline Flash models. It is designed for use by security agents scanning large codebases at scale.

A text-to-image generation and editing model used for creating graphics, posters, and social-media content. It supports object segmentation, direct in-image text editing, and is integrated into Google Workspace apps.

TabFM is a zero-shot tabular foundation model from Google Research.

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

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.

DiffusionGemma is a generative model built by Google DeepMind. Based on the 26B A4B Mixture-of-Experts (MoE) Gemma 4 architecture, DiffusionGemma generates tokens using discrete diffusion.

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.