Claude 5 Opus
Claude 5 Opus is a text generation model from Anthropic with a 1,000,000-token context window and native tool use.
AnthropicLarge-context reasoning with tool and MCP support
Claude 5 Opus is a large language model developed by Anthropic, released in July 2026. It supports a one-million-token context window and can generate responses up to 128,000 tokens in length, making it suited for tasks that involve long documents, extended conversations, or multi-step reasoning across large bodies of text. The model accepts image inputs alongside text and supports configurable reasoning effort levels.
Claude 5 Opus is designed for use cases that require tool integration and agent-style workflows, including native support for the Model Context Protocol (MCP), which allows it to connect with external data sources and services. It is positioned as Anthropic's most capable model in the Opus line as of its release date, intended for complex tasks where thoroughness and extended context handling are priorities. Developers can configure reasoning behavior and effort levels directly, giving more control over how the model approaches multi-step problems.
What Claude 5 Opus supports
Extended Context Window
Processes up to 1,000,000 tokens in a single context, enabling analysis of very long documents, codebases, or conversation histories without truncation.
Configurable Reasoning
Supports an adjustable reasoning mode with selectable effort levels, allowing developers to tune how deeply the model works through multi-step problems.
Tool Use
Natively supports function calling and tool definitions, enabling the model to invoke external tools as part of a response or agentic workflow.
MCP Integration
Supports the Model Context Protocol (MCP), allowing connections to external data sources, APIs, and services through a standardized interface.
Image Understanding
Accepts image inputs alongside text prompts, supporting tasks such as document analysis, diagram interpretation, and visual question answering.
Long-Form Output
Can generate responses up to 128,000 tokens, making it suitable for producing detailed reports, long-form drafts, or extensive code outputs in a single call.
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Get Started FreeCommon questions about Claude 5 Opus
What is the context window size for Claude 5 Opus?
Claude 5 Opus supports a context window of 1,000,000 tokens, meaning it can process up to one million tokens of combined input and conversation history in a single request.
What is the maximum response length?
The model can generate responses of up to 128,000 tokens in a single output, which is suitable for long documents, detailed analyses, or extensive code generation.
Does Claude 5 Opus support image inputs?
Yes, Claude 5 Opus accepts image inputs alongside text, allowing it to analyze visual content such as diagrams, screenshots, and documents.
What is the pricing for Claude 5 Opus?
Pricing information for Claude 5 Opus has not been published in the available metadata. Check Anthropic's official pricing page or MindStudio's model catalog for current rates.
What is the knowledge cutoff date for Claude 5 Opus?
The specific training data cutoff date for Claude 5 Opus is not included in the available metadata. Anthropic typically publishes this information in their model documentation.
Does Claude 5 Opus support tool use and MCP?
Yes, Claude 5 Opus natively supports tool definitions for function calling and also supports the Model Context Protocol (MCP), enabling integration with external data sources and services.
Documentation & links
Parameters & options
When enabled, the model will explain its thought process step-by-step before providing a final answer. This can help users understand how the model arrived at its conclusions, but may result in longer responses. Opus 4.7 uses adaptive thinking mode. The model dynamically decides when and how much to think.
Controls how much the model thinks vs. how quickly it responds. Higher effort produces better quality but uses more tokens and is slower. Recommended: High or Extra High for coding and agentic work; Medium for general use; Low for short, latency-sensitive tasks. Only applies when Reasoning is enabled.
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