
At the re:Invent 2024 conference last year, Amazon unveiled its proprietary Nova series of generative artificial intelligence models. Following several iterations and updates, the company has now introduced the most powerful model in the series — Nova Premier.
Nova Premier is now available via Amazon Bedrock, the company’s AI model development platform. It supports the processing of text, images, and video content, though it does not currently include audio capabilities. The model is engineered to handle complex tasks requiring deep contextual understanding and multi-step reasoning, with the ability to execute across diverse tools and data sources with high precision.
Nova Premier has a context window capable of handling up to 1 million tokens — roughly equivalent to 750,000 words — enabling comprehensive analysis of extended content. It demonstrates impressive performance in knowledge retrieval (SimpleQA) and visual comprehension (MMMU) benchmarks. However, it falls short in certain evaluations, such as the SWE-Bench Verified benchmark for code generation, where it lags behind Google’s Gemini 2.5 Pro. Similarly, its results in mathematics and science assessments (GPQA Diamond and AIME 2025) are less competitive.
Regarding pricing, inputting 1 million tokens into Nova Premier costs approximately $2.50, while generating 1 million tokens incurs a cost of $12.50 — pricing that is broadly comparable to Gemini 2.5 Pro, and even slightly more economical for output generation.
Unlike models such as OpenAI’s o4-mini or DeepSeek R1, Nova Premier is not designed for inference, meaning it cannot verify or refine its own responses post-generation. As such, Amazon positions Nova Premier as particularly well-suited for distillation tasks — refining smaller models to enhance execution efficiency and power high-performance AI services.
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