MiniMax H3
MiniMax H3 is a general-purpose omni-modal generation model that jointly understands multimodal contexts spanning text, images, video, and audio. It generates videos with native stereo sound at up to 2K resolution and 15 seconds in length, delivering content for advertising, branding, ecommerce, product design, UI/UX, gaming, and creative workflows. Users can combine reference types in one instruction, for example, transferring camera movement from a video, placing a character from an image into the scene, and matching vocals from an audio clip, while describing the relationships in natural language. H3 supports text-to-image, text-to-video with jointly generated audio, multi-shot modeling, text-to-audio, and generalized reference and editing across images, videos, and audio. Voice, sound effects, and music are modeled together. The model excels at instruction following, accurate text and brand presentation, and video-to-video motion transfer.
Learn more about MiniMax H3
Genie 4
Genie 4 is a generative AI world model developed by Google DeepMind that creates realistic, interactive virtual environments in real time. The model generates explorable worlds with dynamic visuals, native audio, physical interactions, and responsive human characters. Users can navigate generated environments using keyboard controls and modify scenes through natural language instructions, including changing weather conditions, moving cameras, and introducing objects. Its physics simulation capabilities model phenomena such as aerodynamics, collisions, and natural human movement. Genie 4 integrates with Google's Gemini models to support complex reasoning, multistep event simulation, and interactive environments that respond coherently to user actions. The model is available as a limited research preview for trusted testers, with planned access through Project Genie, Google AI Studio, and the Gemini API.
Learn more about Genie 4
Genie 3
Genie 3 is DeepMind’s next-generation, general-purpose world model capable of generating richly interactive 3D environments in real time at 24 frames per second and 720p resolution that remain consistent for several minutes. Prompted by text input, the system constructs dynamic virtual worlds where users (or embodied agents) can navigate and interact with natural phenomena from multiple perspectives, like first-person or isometric. A standout feature is its emergent long-horizon visual memory: Genie 3 maintains environmental consistency over extended durations, preserving off-screen elements and spatial coherence across revisits. It also supports “promptable world events,” enabling users to modify scenes, such as changing weather or introducing new objects, on the fly. Designed to support embodied agent research, Genie 3 seamlessly integrates with agents like SIMA, facilitating goal-based navigation and complex task accomplishment.
Learn more about Genie 3
Mirage 2
Mirage 2 is an AI-driven Generative World Engine that lets anyone instantly transform images or descriptions into fully playable, interactive game environments directly in the browser. Upload sketches, concept art, photos, or prompts, like “Ghibli-style village” or “Paris street scene”, and Mirage 2 builds immersive worlds you can explore in real time. The experience isn’t pre-scripted: you can modify your world mid-play using natural-language chat, evolving settings dynamically, from a cyberpunk city to a rainforest or a mountaintop castle, all with minimal latency (around 200 ms) on a single consumer GPU. Mirage 2 supports smooth rendering, real-time prompt control, and extended gameplay stretches beyond ten minutes. It outpaces earlier world-model systems by offering true general-domain generation, no upper limit on styles or genres, as well as seamless world adaptation and sharing features.
Learn more about Mirage 2