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Amazon on Wednesday released what the company claims is the most capable AI model in its Nova family, Nova Premier. <\/p>\n
Nova Premier, which can process text, images, and videos (but not audio), is available in Amazon Bedrock, the company\u2019s AI model development platform. Amazon says that Premier excels at \u201ccomplex tasks\u201d that \u201crequire deep understanding of context, multi-step planning, and precise execution across multiple tools and data sources.\u201d<\/p>\n
Amazon announced its Nova lineup of models<\/a> in December at its annual AWS re:Invent conference. Over the last few months, the company has expanded the collection with image- and video-generating models as well as with audio understanding<\/a> and agentic, task-performing releases<\/a>. <\/p>\n Nova Premier, which has a context length of 1 million tokens, meaning it can analyze around 750,000 words in one go, is weaker on certain benchmarks than flagship models from rival AI companies such as Google. On SWE-Bench Verified, a coding test, Premier is behind Google\u2019s Gemini 2.5 Pro, and it also performs poorly on benchmarks measuring math and science knowledge, GPQA Diamond and AIME 2025. <\/p>\n However, in bright spots for Premier, the model does well on tests for knowledge retrieval and visual understanding, SimpleQA and MMMU, according to Amazon\u2019s internal benchmarking.<\/p>\n In Bedrock, Premier is priced at $2.50 per 1 million tokens fed into the model and $12.50 per 1 million tokens generated by the model. That\u2019s around the same price as Gemini 2.5 Pro, which costs $2.50 per million input tokens and $15 per million output tokens. <\/p>\n Importantly, Premier isn\u2019t a \u201creasoning\u201d model. As opposed to models like OpenAI\u2019s o4-mini and DeepSeek\u2019s R1, it can\u2019t take additional time and computing to carefully consider and fact-check its answers to questions.<\/p>\n Techcrunch event<\/p>\n \n\t\t\t\t\t\t\t\t\tBerkeley, CA<\/span>
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\n\t\t\t\t\t\t\t\t\t\t\t\t\tJune 5<\/span>\n\t\t\t\t\t\t\t<\/p>\n