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.
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Seedance 2.5
Seedance 2.5 is ByteDance Seed’s new-generation video creation model for long-form storytelling, multimodal reference-based generation, and precise video editing. The model can generate high-quality 30-second audio-video clips in a single pass and supports multi-round extensions for creating longer videos with consistent characters, environments, pacing, and audiovisual style. Seedance 2.5 accepts up to 30 images, 10 video clips, and 10 audio clips as references, giving creators more control over subjects, scenes, motion, camera work, and creative direction. It improves transitions, visual consistency, audio-video synchronization, object textures, skin and eye details, lighting, color, and cinematic realism. The model also supports timestamp-level editing, green screen editing, camera perspective editing, clay render referencing, motion referencing, and reference-based editing.
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HappyHorse 1.1
HappyHorse-1.1-T2V is a text-to-video generation model available through QwenCloud. The model turns text prompts into video output with improved semantic understanding, cinematic shot control, and dynamic motion rendering. HappyHorse-1.1-T2V is designed to capture creative intent more accurately while producing videos with smoother motion, richer details, and stronger visual consistency. It supports natural character actions, scene atmosphere, and physical dynamics for more realistic video generation. The model can be accessed through the QwenCloud API with configurable options such as resolution, aspect ratio, and duration. Built for developers, creators, and AI product teams, HappyHorse-1.1-T2V helps generate high-quality videos from text prompts at scale.
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Gemini Omni Flash
Gemini Omni is Google’s new model family where Gemini’s ability to reason meets the ability to create, starting with video. The first model in the family, Gemini Omni Flash, can create anything from any input by combining images, audio, video, and text as input, then generating high-quality videos grounded in Gemini’s real-world knowledge. It gives users an easier way to edit video through conversation, where every instruction builds on the last, characters stay consistent, physics hold up, and the scene remembers what came before. Users can transform specific details or entire worlds, reimagine action, add new characters or objects, change environments, adjust camera angles, refine styles, and build multi-turn edits without losing the thread of the original scene. Gemini Omni is designed to bridge photorealism and meaningful storytelling by reasoning about what should happen next, using an intuitive understanding of forces like gravity, kinetic energy, and fluid dynamics.
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