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amazon 的网站图标

Amazon

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

Amazon 已处理的 token 在 OpenRouter 上

  • amazon 的网站图标
    Amazon: Titan Multimodal Embeddings G1Titan Multimodal Embeddings G1
    1.51M token

    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.

    作者: amazon2026年10月26日US$0.06/K images
  • amazon 的网站图标
    Amazon: Titan Embeddings G1 - TextTitan Embeddings G1 - Text
    10.8M token

    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.

    作者: amazon2026年10月26日US$0.10/M tokens
  • amazon 的网站图标
    Amazon: Titan Text Embeddings V2Titan Text Embeddings V2
    207M token

    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.

    作者: amazon2026年10月26日US$0.02/M tokens
  • amazon 的网站图标
    Amazon: Nova 2 LiteNova 2 Lite
    1.24B token

    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.

    作者: amazon2025年12月2日1M 上下文US$0.30/M 输入 tokenUS$2.50/M 输出 token
  • amazon 的网站图标
    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.

    作者: amazon2025年10月31日1M 上下文US$2.50/M 输入 tokenUS$12.50/M 输出 token
  • amazon 的网站图标
    Amazon: Nova Lite 1.0Nova Lite 1.0
    606M token

    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.

    作者: amazon2024年12月5日300K 上下文US$0.06/M 输入 tokenUS$0.24/M 输出 token
  • amazon 的网站图标
    Amazon: Nova Micro 1.0Nova Micro 1.0
    13.9B token

    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.

    作者: amazon2024年12月5日128K 上下文US$0.035/M 输入 tokenUS$0.14/M 输出 token
  • amazon 的网站图标
    Amazon: Nova Pro 1.0Nova Pro 1.0
    214M token

    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.

    作者: amazon2024年12月5日300K 上下文US$0.80/M 输入 tokenUS$3.20/M 输出 token

文档

在 OpenRouter 上使用 Amazon 模型进行开发的指南、实用教程、博客文章和工具。

  • Author Pages & Amazon Nova博客文章

常见问题

OpenRouter 通过统一的兼容 OpenAI 的 API 提供 8 个 Amazon 模型。创建 OpenRouter API 密钥,将客户端指向 https://openrouter.ai/api/v1,并将模型设置为 amazon/titan-embed-image-v1 这样的 ID。快速入门提供了所有受支持 SDK 的请求示例。

在 OpenRouter 上的所有 Amazon 模型中,Nova 2 Lite 的上下文窗口最大,每次请求最多接受 1,000,000 个 token。

Titan Multimodal Embeddings G1 是 OpenRouter 上最近添加的 Amazon 模型,于 2026年10月26日 上架。