By @venturebeat
Publication Date: 2026-09-23 17:00:00
Black Forest Labs (BFL), the German AI startup best known for its FLUX image and video models, is pushing deeper into robotics with FLUX 3 Action, a 7-billion-parameter, open-weight “World Action Model” designed to take camera observations, a robot’s current state and natural-language instructions and translate them into physical actions.
The company says FLUX 3 Action reaches a 42.92% overall success rate on NVIDIA’s RoboLab-120 benchmark, which would put it ahead of every model currently listed on the public leaderboard.
More significantly for developers looking to deploy rather than simply benchmark a robotics model, BFL says FLUX 3 Action has 7 billion parameters, compared with 16 billion for NVIDIA’s Cosmos3-Nano-Policy, while running 1.43 times faster — meaning it uses just 44% as many parameters.
BFL is also testing the same architecture outside physical robotics, and says the approach can be scaled to simulations, games, and computer use — environments where a model similarly needs to interpret changing visual state and decide what action to take next.
The company says it trained task-specific FLUX 3 Action policies to fly drones in real life and even successfully beat the hit computer game “Doom” with no in-game deaths, piloting the first-person view and main character’s gun arm.
The company characterizes these results as early experiments rather than production capabilities.
BFL told VentureBeat it will be releasing the weights, code, fine-tuning…