NVIDIAOpen Source

NVIDIA Alpamayo 2 Super

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NVIDIA Alpamayo 2 Super is an open 34-billion-parameter reasoning vision-language-action (VLA) model for autonomous driving. It pairs the 32B Cosmos 3 Super Reasoner with a roughly 2B diffusion-based Action Expert and is post-trained with reinforcement learning. From a single pass over 360-degree video from up to seven cameras plus egomotion history, it emits a planned trajectory, a Chain-of-Causation trace explaining the decision, a meta-action such as yield, lane change or stop, reasoning auto-labels, and visual question answering with 2D grounding. It ranks first on the LingoQA driving-reasoning benchmark among nearly 40 models with a Lingo-Judge score of 79.2, beating Gemini 2.5 Pro by 15.1 points and GPT-4o by 23.2 points. Weights are on Hugging Face under the Linux Foundation's OpenMDW-1.1 licence with source code under Apache 2.0, permitting fine-tuning, derivative models and commercial redistribution. NVIDIA positions it as a cloud-scale teacher model to be distilled for in-vehicle inference rather than run directly in the car.

Parameters

34B

Context Window

License

OpenMDW-1.1

Release Date

2026-08-04

Benchmark Performance

AA Intelligence Index

LMArena Elo

HLE

ARC-AGI-2

SWE-bench Verified

GPQA Diamond

MMLU-Pro

LiveCodeBench

AIME 2025

MATH-500

API Pricing

API pricing for this model is not yet available

Strengths

  • Ranks first on LingoQA among nearly 40 models (Lingo-Judge 79.2)
  • Emits trajectory, causal explanation and meta-action in a single pass, making decisions inspectable
  • OpenMDW-1.1 licence permits commercial use, derivatives and redistribution

Weaknesses

  • Peak memory of about 72GB on a single H100 80GB; distillation is required for in-vehicle real-time inference
  • Purpose-built for driving, not a general-purpose assistant
  • Many reported benchmarks come from NVIDIA's own internal evaluations

Use Cases

  • Trajectory generation and decision explanation for robotaxi development
  • Reasoning auto-labelling of raw fleet driving footage
  • Teacher model for distilling compact in-vehicle policies