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The Complete Guide to Nova 2 Omni

Sharan Sundar Sankaran

December 2, 2025
Table of contents

Andy Jassy, CEO, Amazon ended his re:Invent keynote last year with a tease of Amazon Nova Any-to-Any (A2A). It was evident even back then that Amazon was fully aware that the lack of a multimodal model capable of complex reasoning tasks will not help them compete. With Gemini and Grok making good progress in multimodality, it is evident that Amazon needed to catch up. Now, they have with Nova Omni 2.

What is Nova 2 Omni?

Amazon Nova 2 Omni is Amazon's first Any-to-Any Multimodal model - can process text, images, video, and speech inputs while generating both text and image. This is an industry first.  

Like Google’s Gemini models, Nova 2.0 Omni is among the few AI models that can understand text, images, video, and speech natively.  This is a key new differentiator for Amazon’s Nova family.

First Impressions of Nova 2 Omni

Amazon has a track record of allowing other companies to shoulder much of the early R&D burden in AI, then stepping in later to refine, simplify, and scale the technologies once the stack has been validated. But with Nova 2 Omni, Amazon has really been at the cutting edge of research.

Nova 2 Omni Use Cases

Nova 2 Omni eliminates the cost and complexity of managing multiple specialized AI models.  

Potential use cases includ:

  1. Marketing - Turn product details from any format into complete campaigns—headlines, copy, social posts, and visuals—in one seamless workflow.
  2. Multimodal Customer Support - Customer sends a photo or short video of a broken device → model diagnoses steps visually. Voice queries transcribed and understood natively, how-to guides can be automatically generated.
  3. Enterprise Knowledge Assistant - Upload a recorded meeting → get action items, summaries, sentiment, speaker attribution. Parse PDFs mixed with diagrams and charts → produce structured reports.
  4. Video Analytics  - Converts visual inspection footage into compliance reports – suggest repair workflows visually. “Watch” a warehouse video feed and update inventory counts.
  5. Retail and E-Commerce - Shopper takes a video of a room → recommends furniture, color palettes, or compatible devices.
  6. Creative & Media - Turn a storyboard sketch into a narrated script, images, or character designs. Produce multimodal drafts for ads, campaigns, or educational content.

Nova 2 Omni Specs

  • Offering a massive 1M-token context, 200+ languages for text, and 10 languages for speech, the model excels at multilingual speech understanding and can reason natively across transcription, translation, and multi-speaker dialogue.
  • Its ability to process 750,000 words, extended audio, long-form video, and extensive documentation allows it to digest entire product catalogs, brand guidelines, testimonials, and media libraries in a unified workflow.
  • Nova 2 Omni is $0.0003 per 1,000 text input tokens (list price). That's 10% the price of many Claude models.  

Nova 2 Omni Performance Benchmarks

Because Nova 2 Omni is the first of its kind, there are no true peer models to benchmark it against. Early results show strong performance across public multimodal reasoning benchmarks—spanning documents, images, video, and audio—and its image-generation quality is on par with other leading models in the market.

We will add more benchmark data when they become available.

Potential Nova 2 Omni Limitations

Nova 2 Omni just launched. Our early beta tests have been positive. It is too early to judge thogh.

However, any-to-any workflows are computationally expensive. Drawbacks from Nova Premier like latency, slower response times and delays during peak usage are expected to continue. Costs could limit high-volume real-time applications. AWS usually optimizes for scale later, so early versions may feel heavy for real-time use cases.

  • Any-to-any doesn’t guarantee "perfect" cross-modal alignment – audio + video reasoning might be inconsistent. These are common in Gemini, GPT-Omni, and LLaMA too.
  • Amazon historically lags OpenAI, Google, and Midjourney in generative creativity - may prioritize reliability over creativity. Guardrails could limit realism or stylistic variety.
  • Multimodal explainability is also an industry-wide challenge.

The Future for Nova 2 Omni

Any-to-any models are still in their early days, offering Amazon room to gain early advantage. Their multimodal reach unlocks vast potential—and marks a logical step on the path toward more general AI capabilities.

This is a live document. We will add details, implementation notes, and technical analysis of Nova 2 Omni in the next few weeks as we use it more.

Meanwhile, we do have more information about Nova 2 and the larger AWS AI ecosystem.