Claude Opus 4.6
Anthropic's most capable AI model, optimized for complex coding, long-running tasks, and enterprise workflows with a 1M token context window.
What is Claude Opus 4.6?
Claude Opus 4.6 is Anthropic's most intelligent AI model, built for complex coding, multi-step reasoning, and handling tasks that need sustained attention over hours.
It has a 1 million token context window (roughly 700,000 words), which means it can read and work with massive codebases, long documents, or entire project histories in a single conversation.
Most builders use it for agentic coding tasks where the AI needs to plan, execute, and iterate on complex problems. It's particularly strong at understanding requirements, writing production-quality code, and handling multi-file changes. You can access it through Claude.ai (Pro/Team/Enterprise) or via the API.
Pricing starts at $5 per million input tokens and $25 per million output tokens. Prompt caching can reduce costs by up to 90% for repeated context.
Good to Know
1 million token context window handles entire codebases and long documents
Optimized for agentic coding and multi-step reasoning tasks
Available via Claude.ai (Pro/Team/Enterprise) and API
Pricing: $5/M input tokens, $25/M output tokens (90% savings with prompt caching)
Released February 5, 2026 as successor to Opus 4.5
How Vibe Coders Use Claude Opus 4.6
Building an entire feature from requirements to deployment while the AI handles planning, coding, testing, and iteration
Analyzing your entire codebase to suggest architecture improvements or find bugs across multiple files
Processing long legal documents or research papers and extracting specific information with citations
Running multi-hour coding tasks in the background while you work on other things
Frequently Asked Questions
Related Terms
Anthropic's most capable AI model, built for complex coding, autonomous agents, and multi-step reasoning tasks.
Reusable instruction packages that teach Claude how to complete specific tasks consistently, loaded dynamically only when needed.
The amount of text an AI model can remember and process at once, measured in tokens. Bigger windows mean longer conversations and documents.
A trained algorithm that takes inputs (text, images, data) and produces outputs (predictions, classifications, generated content).
AI safety company that builds Claude, a large language model focused on being helpful, honest, and harmless with strong reasoning capabilities.
Join 0 others building with AI