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Kimi K3 AI Video Generator
Turn text, images, or video frames into coherent multi-scene clips with the Kimi K3 AI Video Generator — built on a 2.8T open-source multimodal engine.
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Inside the Kimi K3 AI Video Generator's Multimodal Engine
Under the hood sits Kimi's flagship 2.8-trillion-parameter foundation — the first open-source release of its size. KDA hybrid linear attention and native visual perception let the engine read images, footage, and text together, producing long, coherent video across a one-million-token window.
- Trillion-Scale ReasoningWith 2.8 trillion parameters behind it, the engine works through intricate storylines and multi-shot sequences that smaller models struggle to hold together.
- Vision-Native InputDrop in screenshots, still frames, or reference clips and the model reads them directly, grounding every scene in the visuals you supply.
- Million-Token MemoryA one-million-token window keeps characters, style, and plot threads aligned from the opening shot to the final scene of extended projects.
From Rough Idea to Finished Clip in Three Steps
Follow a short, straightforward workflow to turn a plain concept into a long, visually consistent AI video.
What the Kimi K3 AI Video Generator Can Do
Trillion-parameter reasoning, a million-token memory, native vision, and tool-calling APIs come together in one engine — covering everything from long tutorial scripts to visual storytelling and automated editing pipelines.
2.8T Parameter Backbone
Running on the largest open-source model released to date, it brings rare reasoning depth to complicated scripts and layered narratives.
One-Million-Token Memory
Keep storylines and visuals aligned across hour-long scripts, dozens of scenes, and entire code-driven production pipelines.
Native Vision Input
Send images, screenshots, and footage straight in for visual reasoning, shot planning, and content-aware generation.
Structured Outputs & Function Calling
JSON Schema responses and function calls let you wire the model into automated video pipelines and programmatic production.
KDA Attention Design
Kimi Delta Attention with Attention Residuals keeps information flowing cleanly through deep layers, so output stays consistent.
Open Weights, Full Control
Weights are openly available, so you can self-host, fine-tune, or drop the model into a custom video stack of your own.
Kimi K3 AI Video Generator: Common Questions
Answers to the questions creators ask most about this trillion-parameter multimodal video engine and how it handles long projects.
What exactly is the Kimi K3 AI Video Generator?
It is a video creation tool running on Kimi's flagship 2.8-trillion-parameter multimodal model — the first open-source release at that size — with built-in vision and a one-million-token context window.
How is it different from other AI video tools?
It relies on KDA hybrid linear attention and Attention Residuals to hold long sequences together, and it can read screenshots or video frames directly as creative references rather than text alone.
Which input types can I use?
Text prompts, images sent as uploads or base64, video files, and structured data. Visual references are processed alongside your written instructions instead of being handled separately.
How much can it remember at once?
The one-million-token window covers full-length scripts, multi-scene storylines, and lengthy code-driven production runs inside a single session without losing the thread.
Does it work with my existing workflow?
Yes. OpenAI-compatible APIs, JSON Schema outputs, function calling, dynamic tool loading, and streaming are all supported, so it slots into production video pipelines.
Are the model weights open source?
Yes — full weights are being released by July 27, 2026, and the model supports self-hosting, LoRA fine-tuning, and integration through standard API interfaces.
Put the Kimi K3 AI Video Generator to Work
Turn your next idea into a rich, context-aware AI video powered by the first open-source 2.8-trillion-parameter model. Start generating in minutes.