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Advanced AI News
Home » Amazon launches Nova Premier, its most capable AI model yet
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Amazon launches Nova Premier, its most capable AI model yet

Advanced AI BotBy Advanced AI BotMay 1, 2025No Comments2 Mins Read
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Amazon on Wednesday released what the company claims is the most capable AI model in its Nova family, Nova Premier.

Nova Premier, which can process text, images, and videos (but not audio), is available in Amazon Bedrock, the company’s AI model development platform. Amazon says that Premier excels at “complex tasks” that “require deep understanding of context, multi-step planning, and precise execution across multiple tools and data sources.”

Amazon announced its Nova lineup of models 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 and agentic, task-performing releases.

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’s Gemini 2.5 Pro, and it also performs poorly on benchmarks measuring math and science knowledge, GPQA Diamond and AIME 2025.

However, in bright spots for Premier, the model does well on tests for knowledge retrieval and visual understanding, SimpleQA and MMMU, according to Amazon’s internal benchmarking.

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’s around the same price as Gemini 2.5 Pro, which costs $2.50 per million input tokens and $15 per million output tokens.

Importantly, Premier isn’t a “reasoning” model. As opposed to models like OpenAI’s o4-mini and DeepSeek’s R1, it can’t take additional time and computing to carefully consider and fact-check its answers to questions.

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Amazon is pitching Premier as best for “teaching” smaller models via distillation — in other words, transferring its capabilities for a specific use case into faster, more efficient package.

Amazon sees AI as increasingly core to its overall growth strategy. CEO Andy Jassy recently said the company is building more than 1,000 generative AI applications and that Amazon’s AI revenue is growing at “triple-digit” year-over-year percentages and represents a “multi-billion-dollar annual revenue run rate.”



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