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Kimi K3 AI Video Generator
Create coherent multi-scene videos with the Kimi K3 AI Video Generator — open-source 2.8T reasoning, native vision, and a 1M-token context.
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What Sets Kimi K3 Video Generation Apart
Powered by Kimi's flagship 2.8-trillion-parameter model, this engine pairs KDA hybrid linear attention with native visual understanding. It reads images, video frames, and text across a 1-million-token window, keeping long-form scenes coherent from the first shot to the last.
- Massive Parameter ScaleWith 2.8 trillion parameters, the model brings unusual reasoning depth to complex story arcs and layered scene logic in video.
- Built-In Visual PerceptionDrop in screenshots, stills, or video frames and the model uses them as visual anchors for scene-aware output.
- Extended Narrative MemoryA 1-million-token context keeps characters, settings, and shot continuity aligned across lengthy projects and multi-shot sequences.
Three Steps to Generate Video with Kimi K3
Build long-form, visually consistent AI video in three straightforward steps — no editing suite required.
Core Capabilities Behind Kimi K3 Video Creation
From trillion-parameter reasoning and a 1M-token context to native vision and tool-calling APIs, these capabilities support advanced workflows — long tutorials, visual storytelling, and agent-driven editing.
2.8T Parameter Backbone
Running on the largest open-source model released to date, it brings deep reasoning to intricate scripts and narrative structures.
One-Million-Token Memory
Keep story logic and visual continuity intact across hour-long scripts, many scenes, and code-driven production pipelines.
Vision-Aware Inputs
Send images, screenshots, or video straight in for visual reasoning, shot planning, and content-aware generation.
Structured Outputs and Tool Use
JSON Schema responses and function calling let you plug the model into automated video pipelines and production tools.
KDA Attention Design
Kimi Delta Attention with Attention Residuals keeps information flowing smoothly through deep layers for steady output.
Open Weights, Open Stack
Full model weights support self-hosting, fine-tuning, and integration into custom video workflows without vendor lock-in.
Kimi K3 AI Video: Common Questions
Answers to common questions about Kimi K3 AI video generation, its multimodal inputs, context length, and integration options.
What exactly is Kimi K3 AI video generation?
It is a video creation workflow powered by Kimi's flagship 2.8-trillion-parameter multimodal model — the first open-source model at that scale — with native vision and a 1M-token context.
How is Kimi K3 different for video work?
KDA hybrid linear attention and Attention Residuals help it hold long sequences together, while native vision lets it use screenshots and video frames as creative references.
Which inputs can I use?
Text prompts, uploaded images, base64 images, video files, and structured data are all accepted; visual references are processed alongside your written instructions.
How much video context can it handle?
The 1-million-token window accommodates full scripts, multi-scene narratives, and extended code-driven production sequences in one session.
Does it work with existing production pipelines?
Yes. OpenAI-compatible APIs, JSON Schema outputs, function calling, dynamic tool loading, and streaming support make integration straightforward.
Are the model weights open source?
Yes. Full weights are being released, and the model supports self-hosting, LoRA fine-tuning, and standard API integration.
Put Kimi K3 AI Video Generation to Work
Start building context-rich video with the Kimi K3 AI Video Generator — the first open-source 2.8-trillion-parameter model for visual storytelling.