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Text Generation Model

Claude 4.7 Opus

Claude 4.7 Opus is a text generation model from Anthropic with a 1,000,000-token context window and native tool use.

PublisherAnthropic
TypeText
Context Window1,000,000 tokens
ReleasedApril 2026
Input$5.00/MTok
Output$25.00/MTok
LATESTLARGE CONTEXTREASONINGTOOLSMCP

Large context reasoning with tool and MCP support

Claude 4.7 Opus is a large language model developed by Anthropic, released in April 2026. It supports a context window of up to one million tokens and can generate responses of up to 128,000 tokens, making it suited for tasks that require processing or producing large volumes of text. The model accepts image inputs alongside text and supports configurable reasoning and effort settings.

Claude 4.7 Opus is designed for agentic and tool-augmented workflows, with native support for tool use and Model Context Protocol (MCP) servers. These capabilities allow it to interact with external systems, retrieve information, and execute multi-step tasks within a single session. It is well suited for complex reasoning tasks, long-document analysis, and applications that require integration with external tools or APIs.

What Claude 4.7 Opus supports

Large 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.

Extended Response Output

Generates responses of up to 128,000 tokens, supporting long-form content such as detailed reports, extensive code files, or multi-section documents.

Configurable Reasoning

Offers a selectable reasoning mode with adjustable effort levels, allowing developers to tune the depth of the model's reasoning process for a given task.

Tool Use

Supports native tool calling, enabling the model to invoke external functions or APIs as part of a response to complete multi-step tasks.

MCP Server Integration

Connects to Model Context Protocol servers, allowing structured access to external data sources and services within a single session.

Image Understanding

Accepts image inputs alongside text prompts, supporting tasks such as document analysis, diagram interpretation, and visual question answering.

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Common questions about Claude 4.7 Opus

What is the context window size for Claude 4.7 Opus?

Claude 4.7 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 session.

What is the maximum response length?

The model can generate responses of up to 128,000 tokens per reply, which is suitable for producing long-form documents, detailed code, or extensive analyses.

Does Claude 4.7 Opus support image inputs?

Yes, Claude 4.7 Opus accepts image inputs in addition to text, allowing it to analyze visual content such as screenshots, diagrams, and documents.

What tool and integration capabilities does Claude 4.7 Opus have?

The model supports native tool use and Model Context Protocol (MCP) server connections, enabling it to call external functions, retrieve data from connected services, and complete agentic multi-step workflows.

What is the pricing for Claude 4.7 Opus on MindStudio?

Pricing information for Claude 4.7 Opus was not published in the available metadata. Check the MindStudio pricing page or the Anthropic API pricing page for current rates.

When was Claude 4.7 Opus released?

Claude 4.7 Opus was released in April 2026 and became available on MindStudio on April 16, 2026.

Parameters & options

Max Temperature1
Max Response Size128,000 tokens
ReasoningSelect

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.

Default: false
DisabledEnabled
EffortSelect

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.

Default: medium
LowMediumHighExtra HighMax
ToolsTools
Web SearchAllow models to search the web for the latest information before generating a response.
Web FetchAllow models to retrieve full content from specified web pages and PDF documents
Code ExecutionAllow models to write and run code to solve problems.
mcpServersMCP Servers

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