NVIDIA released Alpamayo 2 Super, an open reasoning model for autonomous vehicles with commercial licensing and state-of
NVIDIA Alpamayo 2 Super is available now for commercial use as part of the Alpamayo family, the most-adopted open reasoning models for autonomous driving on Hugging Face. Built on NVIDIA Cosmos 3 Super Reasoner and post-trained with reinforcement learning, the model advances the autonomous vehicle ecosystem through open commercial licensing and leading multitask capabilities.
The model is available on Hugging Face under OpenMDW-1.1, the Linux Foundation's permissive license for open AI model distributions. This license covers fine-tuning, derivative models and commercial redistribution, allowing autonomous vehicle developers, automakers, truckmakers and suppliers to adapt Alpamayo to their own data, driving policies and deployment strategies. Earlier Alpamayo releases were introduced for research and development, and the OpenMDW license is now being applied across the entire Alpamayo model family, enabling developers to deploy any of the models commercially without requiring additional permissions.
Alpamayo 2 Super offers frontier-scale reasoning in cloud-based development workflows where developers can generate high-quality reasoning traces, synthetic training data and teacher outputs for model distillation. Within the model family, Alpamayo 2 Super delivers the highest reasoning and driving performance for multimodal autonomous driving development, while Alpamayo 1.5 and Alpamayo 1 provide more cost-efficient options. Distilled models can then be optimized for efficient, real-time inference in production vehicles, creating a cloud-to-car workflow that combines frontier-scale reasoning with scalable deployment across commercial fleets.
In performance testing, Alpamayo 2 Super ranks first on LingoQA, an autonomous driving reasoning benchmark evaluated against nearly 40 models. Using the Lingo-Judge metric, it outperformed Qwen2.5-VL 72B by 17.0 points, Gemini 2.5 Pro by 15.1 points and GPT-4o by 23.2 points. The model ranks first across all autonomous driving benchmarks evaluated by NVIDIA, demonstrating state-of-the-art reasoning for driving-centric scenarios.
Alpamayo 2 Super offers three times the scale of the 10-billion-parameter NVIDIA Alpamayo 1.5 and Alpamayo 1 models. The added capacity helps the model better generalize reasoning from sparse examples, a critical capability for rare, multi-agent interactions where conventional systems often struggle. The model reasons over full-surround camera coverage, fusing views from the vehicle's front, sides and rear, enabling richer understanding of lane changes, merges, unprotected turns and complex intersections.
For each driving situation, Alpamayo 2 Super produces five tightly coupled outputs: a trajectory describing the vehicle's planned path, a chain-of-causation trace that explains the reasoning behind the decision, a meta-action capturing the model's intent, reasoning auto-labels that generate chain-of-causation annotations for training and validation data, and visual question answering responses with two-dimensional visual grounding that link the model's answers to specific regions in camera images. These outputs offer developers insight into the model's decision-making process, making decisions easier to understand, critique and validate. Chain-of-causation traces integrate with NVIDIA Halos safety-validation workflows and support AI safety aligned with ISO/PAS 8800 requirements.
Alpamayo 2 Super can be deployed as an autolabeler to generate chain-of-causation labels and perform visual question answering with two-dimensional grounding on proprietary fleet data. By linking its reasoning to specific regions in camera images, the model can transform raw driving clips into richer training data, compressing annotation cycles from months to days. Beyond planning and auto-labeling, Alpamayo 2 Super supports scene understanding, model critiquing and knowledge distillation, enabling developers to use a single foundation model across more of the development stack.
Alpamayo 2 Super is part of a broader family including NVIDIA AlpaSim, which provides closed-loop simulation; NVIDIA AlpaGym, which enables high-throughput reinforcement learning; NVIDIA Physical AI Open Datasets, which supply data for training and testing; and open training recipes and an autolabeling pipeline to accelerate model development, training and validation. Alpamayo has already surpassed 500,000 downloads on Hugging Face, reinforcing its position as the most-adopted open reasoning model family for autonomous driving on the platform.