GR00T N1
Open foundation model for generalist humanoid robots
About
GR00T N1 is NVIDIA's open foundation model for generalist humanoid robots, announced at GTC in March 2025 under the permissive OpenMDW-1.1 license. It combines a slow vision-language reasoning system with a fast diffusion-based action system, trained on egocentric human video plus real and simulated robot trajectories. NVIDIA reports it beats imitation-learning baselines across embodiments; the open weights are real, but the surrounding Isaac Sim and Jetson stack is where the ecosystem lock-in lives.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
NVIDIA-reported: outperforms state-of-the-art imitation learning models in simulation benchmarks across multiple robot embodiments.
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Announced at GTC on 2025-03-18 (publication date 2025-03-17); open weights on Hugging Face; Dual-system architecture (VLM reasoning + diffusion action); trained on egocentric human video plus real/simulated trajectories; License is OpenMDW-1.1 per NVIDIA — permissive but not OSI-open; flagged in entry; Performance claims are NVIDIA-reported and labeled as such. License: OpenMDW-1.1 — permissive open-weight license, not OSI-approved open source..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 8.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · Announced at GTC on 2025-03-18 (publication date 2025-03-17); open weights on Hugging Face
- · Dual-system architecture (VLM reasoning + diffusion action); trained on egocentric human video plus real/simulated trajectories
- · License is OpenMDW-1.1 per NVIDIA — permissive but not OSI-open; flagged in entry
- · Performance claims are NVIDIA-reported and labeled as such