On Wednesday, Amazon unveiled Nova Premier, its most advanced AI model in the Nova family, according to the company’s claims.

Nova Premier, capable of handling text, images, and videos (though not audio), is now available on Amazon Bedrock, the company’s AI model development platform. Premier excels at complex tasks that demand a deep understanding of context, planning, and execution across multiple tools and data sources, Amazon says.

The Nova lineup of models was introduced by Amazon in December at its annual AWS re:Invent conference. Over recent months, the company has expanded the collection with models for generating images and videos, as well as models for understanding audio and performing tasks.

Nova Premier has a context length of 1 million tokens, enabling it to analyze around 750,000 words at once. However, it performs weaker than flagship models from rival AI companies like Google on certain benchmarks. Premier trails Google’s Gemini 2.5 Pro on the SWE-Bench Verified coding test and also falls short on benchmarks measuring math and science knowledge, GPQA Diamond and AIME 2025.

In a more positive note, Premier performs well on tests for knowledge retrieval and visual understanding, SimpleQA and MMMU, based on Amazon’s internal benchmarking.

The pricing for Premier on Bedrock is set at $2.50 per 1 million tokens input into the model and $12.50 per 1 million tokens generated by the model. This pricing is comparable to Gemini 2.5 Pro, which costs $2.50 per million input tokens and $15 per million output tokens.

Notably, Premier is not a “reasoning” model, unlike models such as OpenAI’s o4-mini and DeepSeek’s R1, which can take extra time and computing power to consider and fact-check answers.

Amazon positions Premier as ideal for “teaching” smaller models through distillation, meaning transferring its capabilities for a specific use case into a faster and more efficient package.

Amazon views AI as a central component of its overall growth strategy. CEO Andy Jassy has stated that the company is developing over 1,000 generative AI applications, with AI revenue growing at “triple-digit” year-over-year percentages, representing a “multi-billion-dollar annual revenue run rate.”