We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highly-capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks. Amazon Nova Lite is a low-cost multimodal model that is lightning fast for processing images, video, documents and text. Amazon Nova Micro is a text-only model that delivers our lowest-latency responses at very low cost. Amazon Nova Canvas is an image generation model that creates professional grade images with rich customization controls. Amazon Nova Reel is a video generation model offering high-quality outputs, customization, and motion control. Our models were built responsibly and with a commitment to customer trust, security, and reliability. We report benchmarking results for core capabilities, agentic performance, long context, functional adaptation, runtime performance, and human evaluation.
View on arXiv@article{agi2025_2506.12103,
title={ The Amazon Nova Family of Models: Technical Report and Model Card },
author={ Amazon AGI and Aaron Langford and Aayush Shah and Abhanshu Gupta and Abhimanyu Bhatter and Abhinav Goyal and Abhinav Mathur and Abhinav Mohanty and Abhishek Kumar and Abhishek Sethi and Abi Komma and Abner Pena and Achin Jain and Adam Kunysz and Adam Opyrchal and Adarsh Singh and Aditya Rawal and Adok Achar Budihal Prasad and Adrià de Gispert and Agnika Kumar and Aishwarya Aryamane and Ajay Nair and Akilan M and Akshaya Iyengar and Akshaya Vishnu Kudlu Shanbhogue and Alan He and Alessandra Cervone and Alex Loeb and Alex Zhang and Alexander Fu and Alexander Lisnichenko and Alexander Zhipa and Alexandros Potamianos and Ali Kebarighotbi and Aliakbar Daronkolaei and Alok Parmesh and Amanjot Kaur Samra and Ameen Khan and Amer Rez and Amir Saffari and Amit Agarwalla and Amit Jhindal and Amith Mamidala and Ammar Asmro and Amulya Ballakur and Anand Mishra and Anand Sridharan and Anastasiia Dubinina and Andre Lenz and Andreas Doerr and Andrew Keating and Andrew Leaver and Andrew Smith and Andrew Wirth and Andy Davey and Andy Rosenbaum and Andy Sohn and Angela Chan and Aniket Chakrabarti and Anil Ramakrishna and Anirban Roy and Anita Iyer and Anjali Narayan-Chen and Ankith Yennu and Anna Dabrowska and Anna Gawlowska and Anna Rumshisky and Anna Turek and Anoop Deoras and Anton Bezruchkin and Anup Prasad and Anupam Dewan and Anwith Kiran and Apoorv Gupta and Aram Galstyan and Aravind Manoharan and Arijit Biswas and Arindam Mandal and Arpit Gupta and Arsamkhan Pathan and Arun Nagarajan and Arushan Rajasekaram and Arvind Sundararajan and Ashwin Ganesan and Ashwin Swaminathan and Athanasios Mouchtaris and Audrey Champeau and Avik Ray and Ayush Jaiswal and Ayush Sharma and Bailey Keefer and Balamurugan Muthiah and Beatriz Leon-Millan and Ben Koopman and Ben Li and Benjamin Biggs and Benjamin Ott and Bhanu Vinzamuri and Bharath Venkatesh and Bhavana Ganesh },
journal={arXiv preprint arXiv:2506.12103},
year={ 2025 }
}