Audience
Robotics researchers, AI developers, and embodied-agent teams seeking to predict and execute actions from multimodal observations with a fast, open-weight world-action model
About FLUX 3 Action
FLUX 3 Action is an open-weight 7B world-action model designed for action prediction in robotics and other latency-sensitive visual environments. Derived from the multimodal FLUX 3 backbone, it was pretrained on large-scale image, video, and audio data with a strong emphasis on video, then adapted through joint video-action training and fine-tuning for specific embodiments and action spaces. Given an instruction, camera observations, and robot joint positions, the model predicts motor commands together with their expected visual outcomes, allowing a robot to execute actions, observe the environment again, and continuously replan. Unlike approaches that separate visual prediction from control, FLUX 3 Action jointly models future video and actions, transferring world understanding learned from broad video pretraining into robot control. Its single-step 7B checkpoint reaches a 38.3% success rate on RoboLab-120.
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Integrations
API:
Yes, FLUX 3 Action offers API access
No integrations listed.
Company Information
Black Forest Labs
Founded: 2024
Germany
bfl.ai/models/flux-3-action
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Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online
FLUX 3 Action Frequently Asked Questions
Q: What kinds of users and organization types does FLUX 3 Action work with?
FLUX 3 Action works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does FLUX 3 Action support in their product?
FLUX 3 Action supports these languages: English.
Q: What kind of support options does FLUX 3 Action offer?
FLUX 3 Action offers support via online.
Q: Does FLUX 3 Action have an API?
Yes, FLUX 3 Action has an API.
Q: What type of training does FLUX 3 Action provide?
FLUX 3 Action provides training in the form of documentation and videos.
