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Claude Opus 4.6 – Model That Thinks, Acts, and Delivers

Claude Opus 4.6 is Anthropic’s most powerful model to date, engineered specifically for consistent and impressive performance across complex agentic workflows and massive-scale reasoning.

Trusted by users from 10,000+ companies

Proven Leadership Across Industry Benchmarks

Through rigorous testing against industry-standard benchmarks and real-world professional simulations, Opus 4.6 demonstrates a visible gain over Opus 4.5 in reasoning and coding tasks.

Agentic Coding Performance

Agentic Coding Performance

Opus 4.6 achieved an unmatched 65.4% on Terminal-Bench 2.0, proving its ability to navigate complex terminal environments and execute multi-step software engineering tasks with minimal human intervention.

1M Token Context Retrieval

1M Token Context Retrieval

With a 76% accuracy rate on "needle-in-a-haystack" tests within its 1-million-token window, Opus 4.6 can find a single piece of data across thousands of pages of documentation with surgical precision.

Superior Reasoning Accuracy

Superior Reasoning Accuracy

In professional knowledge work and economic reasoning, Opus 4.6 outperforms GPT-5.2 by 144 Elo points, showcasing its superior ability to handle high-level financial analysis and strategic planning.

Smart Integration for Knowledge Workers
Smart Integration for Knowledge Workers
Smart Integration for Knowledge Workers
Smart Integration for Knowledge Workers

Smart Integration for Knowledge Workers

Opus 4.6 comes with significant improvements in Excel integration, enabling advanced financial analysis. It goes further in improving everyday work with Claude release in PowerPoint.

Smart Integration for Knowledge Workers
Bigger Problems, Bigger Solution
Bigger Problems, Bigger Solution
Bigger Problems, Bigger Solution

Bigger Problems, Bigger Solution

Deploy multiple AI agents to collaborate on complex tasks simultaneously, accelerating execution and improving outcomes. With built-in context compaction, Claude summarizes its memory for smoother workflows without hitting token limits.

Bigger Problems, Bigger Solution
Smarter Results With Controlled Cost
Smarter Results With Controlled Cost
Smarter Results With Controlled Cost

Smarter Results With Controlled Cost

Claude’s adaptive thinking automatically adjusts its reasoning depth based on your task, delivering high intelligence where it matters most. With new effort controls, you gain direct control over speed and cost.

Smarter Results With Controlled Cost

Core Capabilities of Claude Opus 4.6

Opus 4.6 offers a suite of capabilities that redefine what is possible with artificial intelligence.

Adaptive Thinking Engine

Adaptive Thinking Engine

The model adjusts its reasoning depth based on the complexity of the prompt to optimize for accuracy and cost.

Massive Context Window

Massive Context Window

1-Million-Token content window to process and analyze massive datasets, entire libraries, or complex legal histories.

Agentic Task Planning

Agentic Task Planning

This feature breaks down high-level goals into actionable sub-tasks and executes them sequentially or in parallel.

Context Compaction

Context Compaction

The model summarizes its own internal memory to maintain focus during extremely long-running autonomous tasks.

Multilingual Mastery

Multilingual Mastery

Opus 4.6 provides near-native reasoning and creative writing capabilities across dozens of global languages.

Advanced Visual Reasoning

Advanced Visual Reasoning

It interprets complex charts, technical diagrams, and handwritten notes with industry-leading precision.

Dynamic Effort Controls

Dynamic Effort Controls

This allows users to toggle between "High Effort" for deep research and "Low Effort" for rapid-fire responses.

Safety & Reliability

Safety & Reliability

This models is built with Anthropic’s safety-first design principles to minimize hallucinations and maintain alignment.

Zero-Shot Tool Use

Zero-Shot Tool Use

It expertly navigates and utilizes external APIs and software tools without requiring extensive fine-tuning or examples.

Frequently Asked Questions

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