Claude Opus 4.6 Chat API

anthropic/claude-opus-4.6
1M tokens · 540 input / 2400 output credits / 1M tokens

Claude Opus 4.6 Chat turns ordered text and image messages into code, detailed analysis, and reasoned answers for demanding multi-step work. Its 1M-token context links large codebases and documents, while system instructions and tool results help examine complex decisions.

Claude Opus 4.6

Anthropic · chat-completions

Chat with Claude Opus 4.6

Each model has its own conversation. Switching never sends another model's history, and switching back resumes where you left off. Requests are billed from actual token usage.

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Claude Opus 4.6 Chat

Anthropic's Claude Opus 4.6 Chat works through complex coding and analytical tasks using ordered messages, documents, and image evidence. Its 1M-token context helps keep related requirements and source material available across connected steps. Claude Messages supports system instructions, tool definitions, complete JSON responses, and streamed SSE events. Use it for difficult debugging, repository-wide changes, and research questions that require careful comparison of several sources.

Why Choose Claude Opus 4.6?

  • Complex codebase reasoningConnect requirements, implementation files, and test evidence while investigating difficult changes.

  • Multi-step agent workUse tool definitions and returned results to continue a task across several deliberate actions.

  • Deep source comparisonExamine related documents and distant passages within a 1M-token context window.

  • Visual evidence in analysisBring screenshots, diagrams, and charts into a written investigation.

Parameters

ParameterRequirementDescription
modelRequired

Use anthropic/claude-opus-4.6.

messagesRequired

A non-empty ordered message array; each item has role and content.

max_tokensRequired for Claude Messages

A positive integer controlling response length; the published model maximum is 128,000 tokens.

systemOptional for Claude Messages

System instructions as a string or structured text blocks.

temperatureOptional

Sampling temperature from 0 to 1; the Playground uses the same range.

top_pOptional

Nucleus sampling probability from 0 to 1.

toolsOptional

Tool definitions available to the model.

streamOptional

Set true to receive an SSE event stream.

Defaultfalsetrue

How to Use

  1. Choose the modelSet model to anthropic/claude-opus-4.6 in a Claude Messages request.

  2. Supply evidenceAdd ordered messages with source files, documents, images, and optional system instructions.

  3. Set the response lengthSet max_tokens to a positive integer, then send the request to /v1/messages and review content and token usage.

Pricing

Vidgo AI bills input and output tokens separately. Each rate applies per 1M tokens.

UsageRateDetails
Input$2.70 · 540 credits / 1M tokensTokens in the request.
Output$12.00 · 2400 credits / 1M tokensTokens generated in the response.

Best Use Cases

  • Difficult debuggingCompare symptoms, source files, and test findings to trace a fault across components.

  • Large codebase changesConnect architecture constraints and multiple files while planning or reviewing a change.

  • Research synthesisCompare long documents and image evidence to produce a traceable answer.

Pro Tips

  • State the goal, constraints, affected components, and acceptance criteria before a complex change.
  • Ask for findings tied to specific files, passages, or tool results.
  • Review intermediate tool results before adding the next step to the conversation.

Usage Notes

  • Claude Opus 4.6 has a published 1M-token context window and a 128,000-token maximum output.
  • The on-page Playground offers a 256–8,192-token output control.
  • Use anthropic/claude-opus-4.6 with /v1/messages or /v1/chat/completions.

Related Models

Claude Opus 4.6 Chat API frequently asked questions

What is the Claude Opus 4.6 Chat API?

Claude Opus 4.6 is an Anthropic model for complex coding, deep analysis, and multi-step agent tasks. It turns ordered text and image messages into code and reasoned answers, using a 1M-token context to connect relevant evidence. Use the Playground above or call Claude Messages and Chat Completions.

How does Claude Opus 4.6 approach difficult debugging?

Provide the observed behavior, relevant source files, constraints, and test results. Claude Opus 4.6 can compare those materials, trace likely causes, and explain proposed changes for review.

How can Claude Opus 4.6 support a multi-step agent?

Define available tools and return each requested tool result as a later message. The conversation can then carry the task through analysis, action, and review.

What context and output sizes does Claude Opus 4.6 have?

The published model specification is a 1M-token context window and a 128K-token maximum output. This page's Playground offers a 256–8,192-token output control.

Can Claude Opus 4.6 analyze diagrams and screenshots?

Add an image block to messages.content with a focused question. Claude Opus 4.6 can connect the visible details with the text context in its answer.

What does Claude Opus 4.6 cost on Vidgo AI?

Input is $2.70 and 540 credits per 1M tokens; output is $12.00 and 2400 credits per 1M tokens. The Pricing section lists both rates.