MolmoAct 2

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Feature	MolmoAct 2
STOA Rating	2.0
Description	MolmoAct 2 is an open robotics foundation model (a pre-trained AI system that robots use to understand and act in the physical world) built by the Allen Institute for AI. You can use it to power robots that handle real-world tasks like folding towels, loading dishwashers, or prepping lab samples — without needing to retrain the model for each new task. It runs up to 37x faster than its predecessor and outperforms several closed proprietary robotics models on industry benchmarks.
Strengths	•Fully open source — weights, data, and code are all publicly available for researchers and developers •Handles bimanual (two-arm) robot tasks out of the box without extra training •37x faster inference than MolmoAct 1, enabling robots to respond in near-real time •Outperforms proprietary robotics models on standard industry benchmarks
Weaknesses	•This is a research-grade foundation model — small businesses cannot use it without significant robotics hardware and technical expertise •No commercial product, support tier, or managed deployment option exists •Requires NVIDIA H100-class GPUs to run at published performance levels, which is cost-prohibitive for most small businesses
Key Features	•Deploy robots on new tasks out of the box — no per-task fine-tuning required •Run inference (the time it takes a robot to decide its next move) in as little as 180ms, enabling near-real-time robot responses •Access the largest open-source bimanual (two-arm) robotics dataset ever released, with over 720 hours of training demonstrations •Use built-in 3D spatial reasoning to help robots understand their environment before acting •Download fully open model weights, datasets, and training code for research and development
Pricing	Free tier available Free Tier
Best For	ManufacturingHealthcare & Medical Practices
AI Features	AI-Powered MolmoAct 2 uses a specialized embodied-reasoning AI backbone (Molmo 2-ER) trained on 3 million examples to help robots reason about 3D space, detect objects, and plan physical actions in near-real time.
Categories	Build & ConnectBuild with AI
STOA Verdict	MolmoAct 2 is built for robotics researchers and AI engineers, not small business owners. If you run a warehouse, lab, or manufacturing operation and have a dedicated robotics team, this open model gives you a powerful, free starting point. But if you don't already have robotics hardware and machine learning engineers on staff, you won't be able to use this tool — it's not a plug-and-play product. Wait for commercial products built on top of models like this before considering it for your business.
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MolmoAct 2

2.0AI

MolmoAct 2 is an open robotics foundation model (a pre-trained AI system that robots use to understand and act in the physical world) built by the Allen Institute for AI. You can use it to power robots that handle real-world tasks like folding towels, loading dishwashers, or prepping lab samples — without needing to retrain the model for each new task. It runs up to 37x faster than its predecessor and outperforms several closed proprietary robotics models on industry benchmarks.

Strengths

•Fully open source — weights, data, and code are all publicly available for researchers and developers
•Handles bimanual (two-arm) robot tasks out of the box without extra training
•37x faster inference than MolmoAct 1, enabling robots to respond in near-real time
•Outperforms proprietary robotics models on standard industry benchmarks

Weaknesses

•This is a research-grade foundation model — small businesses cannot use it without significant robotics hardware and technical expertise
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MolmoAct 2

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