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AWS Bedrock

Using Qwen3-VL-235B-A22B on AWS Bedrock

Implementation guide · Qwen3-VL · Alibaba

Serverless

Quick Start

  1. 1
    Create an account at AWS Bedrock and generate an API key.
  2. 2
    Use the AWS Bedrock SDK or REST API to call qwen3-vl-235b-a22b — see the documentation for request format.
  3. 3
    You'll be billed $0.53/1M input, $2.66/1M output tokens. See full pricing.

About AWS Bedrock

Amazon Bedrock is a comprehensive, fully managed service for building and scaling generative AI applications. The platform provides access to a diverse array of high-performing foundation models (FMs) from leading AI companies through a unified API, enabling users to select the most suitable models for their specific use cases. Key features include model customization using proprietary data through techniques like fine-tuning and Retrieval Augmented Generation (RAG), which significantly enhances the relevance and accuracy of AI outputs. Additionally, the platform supports the automation of complex tasks with agents capable of executing multi-step operations, making it versatile for applications ranging from text generation and image creation to conversational AI. Beyond its robust technical capabilities, Amazon Bedrock offers a serverless experience that streamlines infrastructure management, allowing developers to focus on application development without the burden of managing underlying resources. The platform prioritizes security and compliance, ensuring that data remains within the AWS ecosystem and adheres to industry standards. Bedrock's flexible pricing models, including pay-as-you-go options, enable organizations to effectively manage costs while scaling their AI initiatives. This combination of advanced features, ease of use, and cost-effectiveness positions Amazon Bedrock as a powerful tool for businesses looking to innovate rapidly in the generative AI space, ultimately enhancing productivity and operational efficiency.

Amazon has not traditionally been known as an AI platform company, but they have incorporated AI and machine learning extensively into their products and services. Their AI efforts are primarily focused on enhancing customer experience, improving operational efficiency, and powering their cloud services through Amazon Web Services (AWS). Some key AI-driven features and products from Amazon include: 1. Alexa: Their voice-controlled AI assistant that powers Echo devices and integrates with various smart home products. 2. Amazon Personalize: A machine learning service that provides personalized product recommendations for e-commerce applications. 3. Amazon SageMaker: A fully managed machine learning platform that enables developers and data scientists to build, train, and deploy machine learning models quickly. 4. Amazon Rekognition: An AI-powered image and video analysis service that can detect objects, faces, text, and activities. 5. Amazon Lex: A service for building conversational interfaces using voice and text. 6. Amazon Forecast: A time-series forecasting service that uses machine learning to deliver highly accurate predictions. While Amazon doesn't market itself primarily as an AI platform, its extensive use of AI technologies across its ecosystem demonstrates a significant commitment to artificial intelligence as a core component of its business strategy and product offerings.

Pricing on AWS Bedrock

TypePrice (per 1M)
Input tokens$0.53
Output tokens$2.66

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode Execution

About Qwen3-VL-235B-A22B

Qwen Qwen3 VL 235B A22B available on AWS Bedrock

Model Specs

Released2025-12-01

Provider

AWS Bedrock
AWS Bedrock

Amazon Web Services

Seattle, Washington, United States