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    Amazon

    Browse models from Amazon

    4 models

    Tokens processed on OpenRouter

    • Amazon: Nova Premier 1.0Nova Premier 1.0
      38K tokens

      Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

      by amazon1M context$2.50/M input tokens$12.50/M output tokens
    Amazon: Nova Lite 1.0Nova Lite 1.0
    17M tokens

    Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy. With an input context of 300K tokens, it can analyze multiple images or up to 30 minutes of video in a single input.

    by amazon300K context$0.06/M input tokens$0.24/M output tokens$0.09/K input imgs
  13. Amazon: Nova Micro 1.0Nova Micro 1.0
    9.81M tokens

    Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has simple mathematical reasoning and coding abilities.

    by amazon128K context$0.035/M input tokens$0.14/M output tokens
  14. Amazon: Nova Pro 1.0Nova Pro 1.0
    5.54M tokens

    Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December 2024, it achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX). Amazon Nova Pro demonstrates strong capabilities in processing both visual and textual information and at analyzing financial documents. NOTE: Video input is not supported at this time.

    by amazon300K context$0.80/M input tokens$3.20/M output tokens$1.20/K input imgs