Evaluating the Critical Risks of Amazon's Nova Premier under the
  Frontier Model Safety Framework
Authors: name: Satyapriya Krishna, name: Ninareh Mehrabi, name: Abhinav Mohanty, name: Matteo Memelli, name: Vincent Ponzo, name: Payal Motwani, name: Rahul Gupta

Nova Premier is Amazon's most capable multimodal foundation model and teacher
for model distillation. It processes text, images, and video with a
one-million-token context window, enabling analysis of large codebases,
400-page documents, and 90-minute videos in a single prompt. We present the
first comprehensive evaluation of Nova Premier's critical risk profile under
the Frontier Model Safety Framework. Evaluations target three high-risk domains
-- Chemical, Biological, Radiological & Nuclear (CBRN), Offensive Cyber
Operations, and Automated AI R&D -- and combine automated benchmarks, expert
red-teaming, and uplift studies to determine whether the model exceeds release
thresholds. We summarize our methodology and report core findings. Based on
this evaluation, we find that Nova Premier is safe for public release as per
our commitments made at the 2025 Paris AI Safety Summit. We will continue to
enhance our safety evaluation and mitigation pipelines as new risks and
capabilities associated with frontier models are identified.