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Favicon de amazon

Amazon

Access 8 Amazon models through the OpenRouter unified API notamment Titan Multimodal Embeddings G1, Titan Embeddings G1 - Text et Titan Text Embeddings V2. Compare pricing, context windows, benchmarks, and capabilities between different Amazon models.

Amazon jetons traités sur OpenRouter

  • Favicon de amazon
    Amazon: Titan Multimodal Embeddings G1Titan Multimodal Embeddings G1
    1,51M jetons

    Amazon Titan Multimodal Embeddings G1 embeds text, images, or text and image together into a shared vector space for multimodal search and recommendation. Images are sent as base64 (up to 25 MB), text input is limited to 128 tokens, and vectors are 1,024 dimensions by default with 384 and 256 selectable via the dimensions parameter.

    par amazon26 oct. 20260,06 $US/K images
  • Favicon de amazon
    Amazon: Titan Embeddings G1 - TextTitan Embeddings G1 - Text
    10,8M jetons

    Amazon Titan Embeddings G1 - Text is the first-generation Titan text embedding model. It accepts up to 8,192 tokens per input and returns fixed 1,536-dimension vectors; the dimensions parameter is not supported.

    par amazon26 oct. 20260,10 $US/M tokens
  • Favicon de amazon
    Amazon: Titan Text Embeddings V2Titan Text Embeddings V2
    207M jetons

    Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 dimensions by default, with 512 and 256 also selectable via the dimensions parameter.

    par amazon26 oct. 20260,02 $US/M tokens
  • Favicon de amazon
    Amazon: Nova 2 LiteNova 2 Lite
    1,23B jetons

    Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing documents, extracting information from videos, generating code, providing accurate grounded answers, and automating multi-step agentic workflows.

    par amazon2 déc. 20251M de contexte0,30 $US/M entrée jetons2,50 $US/M sortie jetons
  • Favicon de amazon
    Amazon: Nova Premier 1.0Nova Premier 1.0

    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.

    par amazon31 oct. 20251M de contexte2,50 $US/M entrée jetons12,50 $US/M sortie jetons
  • Favicon de amazon
    Amazon: Nova Lite 1.0Nova Lite 1.0
    605M jetons

    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.

    par amazon5 déc. 2024300K de contexte0,06 $US/M entrée jetons0,24 $US/M sortie jetons
  • Favicon de amazon
    Amazon: Nova Micro 1.0Nova Micro 1.0
    13,9B jetons

    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.

    par amazon5 déc. 2024128K de contexte0,035 $US/M entrée jetons0,14 $US/M sortie jetons
  • Favicon de amazon
    Amazon: Nova Pro 1.0Nova Pro 1.0
    212M jetons

    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.

    par amazon5 déc. 2024300K de contexte0,80 $US/M entrée jetons3,20 $US/M sortie jetons

Documentation

Guides, recettes pratiques, articles de blog et outils pour développer avec les modèles de Amazon sur OpenRouter.

  • Author Pages & Amazon NovaArticle de blog

Questions fréquentes

OpenRouter propose 8 modèles Amazon via une API unique compatible avec OpenAI. Créez une clé API OpenRouter, configurez votre client pour utiliser https://openrouter.ai/api/v1 et définissez le modèle sur un identifiant tel que amazon/titan-embed-image-v1. Le guide de démarrage rapide contient des exemples de requêtes pour chaque SDK pris en charge.

Nova 2 Lite possède la plus grande fenêtre de contexte de tous les modèles de Amazon sur OpenRouter, acceptant jusqu’à 1 000 000 jetons par requête.

Titan Multimodal Embeddings G1 est le modèle de Amazon le plus récemment ajouté sur OpenRouter, référencé le 26 octobre 2026.