FLUX 3 Action

FLUX 3 Action

Black Forest Labs
Odyssey-3

Odyssey-3

Odyssey
+
+

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About

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.

About

Odyssey-3 is a foundation world model and learned dynamical system that predicts how objects move and interact through space and how situations evolve over time. Implemented as an autoregressive diffusion transformer, it learns representations of physics, dynamics, and cause-and-effect from a broad dataset of visual observations and uses that knowledge to simulate environments and train policies for physical systems. Odyssey-3 can generate embodied environments from a prompt and predict in real time how they change as a person or agent acts or introduces events, with first-person and third-person navigation and independent camera movement. Its learned world knowledge can be adapted to different systems by training an action decoder or policy on paired observations and actions. With relatively small amounts of task-specific data, Odyssey-3 has been used to control robot arms, power humanoids, drive vehicles, and generate synchronized multi-sensor observations. It can also provide intera

Platforms Supported

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Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

AI developers, teams, and researchers seeking to simulate dynamic environments, train agents, and adapt learned world knowledge to robots, vehicles, drones, and physical systems

Support

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Support

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Online Supported

API

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API

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Pricing

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Black Forest Labs
Founded: 2024
Germany
bfl.ai/models/flux-3-action

Company Information

Odyssey
Founded: 2023
United States
odyssey.systems/meet-odyssey-3

Alternatives

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Gemini Robotics-ER 1.6

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Alternatives

No Alternatives
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FLIR FLUX

FLIR FLUX

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Categories

AI Models Supported
AI World Models Supported

Categories

AI World Models Supported
Foundation Models Supported

Integrations

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Integrations

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Claim FLUX 3 Action and update features and information
Claim FLUX 3 Action and update features and information
Claim Odyssey-3 and update features and information
Claim Odyssey-3 and update features and information