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Kimi K3 AI Video Generator
Explore the Kimi K3 AI Video Generator: a trillion-parameter multimodal engine that reads images and text, then renders coherent long-form video. Free to try.
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Kimi K3 AI Video Generator: Engineered for Long-Form Video
Powered by a 2.8-trillion-parameter open-source foundation model, this studio reads screenshots, footage frames, and written briefs in a single pass. KDA hybrid linear attention and a million-token memory keep characters, styling, and plot steady from the opening shot to the closing scene.
- Model Scale Behind Every ShotRoughly 2.8 trillion parameters give the Kimi K3 AI Video Generator the reasoning depth to plan multi-scene narratives instead of isolated, disconnected clips.
- Sees What You SeeDrop in screenshots, stills, or extracted frames and the Kimi K3 AI Video Generator anchors each scene to the visuals you actually supplied.
- Memory That Spans Whole ProjectsA million-token window keeps characters, wardrobe, and camera logic consistent across long sequences and multi-shot edits.
From Brief to Finished Clip in Three Steps
Three quick moves take you from a rough idea to a downloadable, scene-consistent video with the Kimi K3 AI Video Generator.
What the Kimi K3 AI Video Generator Does Best
Reasoning at trillion scale, a million-token memory, native sight, and tool-use APIs turn the Kimi K3 AI Video Generator into a production workbench — handling everything from long coding walkthroughs to visual storytelling and agent-assisted editing.
Largest Open Weights at 2.8T
The Kimi K3 AI Video Generator runs on the biggest openly released model in its class, giving scripts and storylines unusually deep reasoning support.
A Million Tokens of Continuity
Hour-long scripts, multi-scene arcs, and code-driven pipelines all stay inside one session, so nothing drifts between shots.
Images In, Video Out
Feed stills, screenshots, or raw footage frames straight to the Kimi K3 AI Video Generator for scene planning and content-aware rendering.
JSON Outputs and Function Calls
Schema-validated responses and tool calling let teams wire the Kimi K3 AI Video Generator into automated production pipelines.
KDA Hybrid Linear Attention
Kimi Delta Attention with Attention Residuals carries information cleanly through deep layers, which keeps output steady shot after shot.
Open Weights You Can Host
Full weights are published, so you can self-host, fine-tune, or embed the Kimi K3 AI Video Generator inside your own stack.
Kimi K3 AI Video Generator: Common Questions Answered
Answers to the questions people ask most about the Kimi K3 AI Video Generator, from input formats and context length to open-source licensing.
What exactly does the Kimi K3 AI Video Generator do?
It is a browser-based studio layered on a 2.8-trillion-parameter open-source multimodal model. You supply text, images, or footage frames and it returns a rendered video clip.
How is it different from other AI video tools?
KDA hybrid linear attention and Attention Residuals hold long sequences together, while native vision input lets the model read screenshots and frames as creative direction rather than guesswork.
Which inputs can I feed it?
Text prompts, uploaded images, base64-encoded visuals, video files, and structured data. Multimodal vision reads your visual references alongside the written instructions.
How long a project can it handle?
The context window holds roughly one million tokens, which covers feature-length scripts, multi-scene arcs, or extended code-driven production sequences in a single session.
Can I plug it into an existing workflow?
Yes. OpenAI-compatible endpoints, JSON Schema outputs, function calling, dynamic tool loading, and streaming make the Kimi K3 AI Video Generator straightforward to automate.
Are the model weights open source?
They are. Full weights are scheduled for release by July 27, 2026, and the model supports self-hosting, LoRA fine-tuning, and standard API access.
Start Building Video With the Kimi K3 AI Video Generator
Put a trillion-parameter multimodal engine to work on your next clip — open weights, million-token memory, and no local setup required.