Model Type
Vision-Language Model
Released
December 19, 2025
Parameters
2B
Model ID
nvidia/Cosmos-Reason2-2B
Capabilities
Cosmos Reason 2 2B
Cosmos Reason2 2B is a multimodal vision-language model optimized for physical AI and robotics. It contains 2.4B parameters, built on a ViT vision encoder and a 28-layer dense transformer with 16 attention heads and 2,048 hidden size. Post-trained from Qwen3 VL 2B Instruct, it supports up to 256K token context and spatio-temporal reasoning for robotics, video analytics, and data curation. The model enables object detection with 2D/3D localization, common-sense planning, and embodied reasoning, serving as the foundation for AI agents to interpret, plan, and act in complex real-world environments.
About this model
Cosmos Reason2 2B is a multimodal vision-language model optimized for physical AI and robotics. It contains 2.4B parameters, built on a ViT vision encoder and a 28-layer dense transformer with 16 attention heads and 2,048 hidden size. Post-trained from Qwen3 VL 2B Instruct, it supports up to 256K token context and spatio-temporal reasoning for robotics, video analytics, and data curation. The model enables object detection with 2D/3D localization, common-sense planning, and embodied reasoning, serving as the foundation for AI agents to interpret, plan, and act in complex real-world environments.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/Cosmos-Reason2-2B). Released under nvidia-open-model-license. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Nvidia Cosmos Reason 2 is a gated model; ensure you have been granted access on Hugging Face and have authenticated your environment using a valid HF_TOKEN.
Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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