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Claude 4 Opus

Anthropic

At a glance

Price per 1M tokens (input)
$15.00
Price per 1M tokens (output)
$75.00
Context
200,000 tokens
Free access
yes (see below)

Refreshed daily; data verified August 15, 2026. Published August 12, 2026.

The Claude 4 Opus model by Anthropic is designed for businesses and organizations that require advanced image understanding and step-by-step reasoning capabilities. This model is well-suited for tasks that involve analyzing and interpreting visual data, as well as performing complex problem-solving. The vendor's approach distinguishes itself through its ability to call external tools and functions, also known as tool calling, which enables the model to leverage a wide range of external resources and expertise. This allows the model to provide more accurate and comprehensive responses. By combining image understanding, tool calling, and step-by-step reasoning, the Claude 4 Opus model provides a powerful solution for businesses looking to automate complex tasks and improve decision-making.

Specifications & pricing

Input (per 1M tokens)$15.00
Output (per 1M tokens)$75.00
Cache read (per 1M tokens)$1.50
Cache write (per 1M tokens)$18.75
Context window200,000 tokens
Max output32,000 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified August 15, 2026. Official Anthropic pricing.

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Frequently asked questions

What is the Claude 4 Opus model good for+

The Claude 4 Opus model is good for tasks that involve image understanding, such as image classification and object detection, as well as tasks that require step-by-step reasoning and problem-solving

How do I get started with the Claude 4 Opus model+

To get started with the Claude 4 Opus model, you will need to integrate it into your existing workflow and provide it with the necessary input data, such as images and text prompts

How does the Claude 4 Opus model differ from other models in the line+

The Claude 4 Opus model differs from other models in the line through its advanced image understanding capabilities and its ability to call external tools and functions, which sets it apart from other models that may only have text-based capabilities

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