claude-opus-4-6

claude-opus-4-6

Claude's latest flagship model
2026-02-06
LLM
Model capability: imageModel capability: thinkingModel capability: function_call
Input:
$5/1M tokensstarting from
Output:
$25/1M tokensstarting from
Bulk order? Contact your manager for exclusive deals
稳定性
Stable

API Overview

Claude Opus 4.6 is Anthropic’s flagship large language model, positioned as the “most powerful reasoning and coding engine for knowledge work and agent tasks,” achieving industry-leading breakthroughs in long-context understanding, code capabilities, and multi-step planning.

  • Key Upgrades: For the first time in the Opus series, we’ve introduced a 1M-token context window (Beta), enabling support for more complex, long-term tasks; coding capabilities have been comprehensively enhanced, allowing the model to autonomously plan, debug, and manipulate large codebases.
  • Applicable Scenarios: Financial analysis, legal research, technical documentation writing, collaboration across tables, documents, and presentations, as well as autonomous multi-task agent execution within Cowork.
  • Product Value: In the GDPval-AA benchmark, Claude Opus 4.6 outperformed GPT-5.2 by approximately 144 Elo points, and ranked first in highly challenging tests such as Terminal-Bench 2.0 and Humanity’s Last Exam.
  • Agent Capabilities: Supports Agent Teams (Claude Code) and Context Compaction (API), enabling long-term execution of complex tasks without losing context.
  • Security and Control: Offers Effort Control (low/medium/high/max) to adjust reasoning depth, and features industry-leading alignment safety with low false-negative rates.

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Core Capabilities

🧠 Expert-Level Reasoning

Demonstrates multi-step reasoning abilities close to those of human experts in specialized fields such as finance, law, and life sciences.

💻 Agentic Coding

Can autonomously decompose tasks, invoke tools, and execute subtasks in parallel, handling dozens of GitHub issues per day in organizations of up to 50 people.

🔍 Ultra-Long Context Retrieval

In the 1M-token MRCR v2 “8-needle” test, it achieves an accuracy rate of 76% (Sonnet 4.5 only achieved 18.5%).

📊 Office Productivity Integration

Claude in Excel can automatically infer data structures, while Claude in PowerPoint (Research Preview) can generate entire slide decks according to brand guidelines.

🛡️ Cutting-Edge Security Protection

Added six new cybersecurity probes to prevent model capabilities from being misused for attacks, while accelerating its application in defensive scenarios such as vulnerability discovery.

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Selected Test Data

Playground

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API Analytics

API Reference (7)

API DescriptionAPI EndpointRequest MethodStabilityParameter Description
Chat(Talk)
POST
Stable
View Details
Chat(Analyze image)
POST
Stable
View Details
Chat(Function Call)
POST
Stable
View Details
Messages(Original format)
POST
Stable
View Details
Messages(Function Call)
POST
Stable
View Details
Messages(Thinking mode)
POST
Stable
View Details
Messages (for Claude Code)
POST
Stable
View Details

API Pricing

$
ModelDescriptionContextOfficial Price302.AI Price

claude-opus-4-6

Cache write: $6.25 / 1M tokens, Cache Read: $0.5 /1M tokens
200000

Input$5 / 1M tokens
Output$25 / 1M tokens

Input$5/ 1M tokens
Output$25/ 1M tokens
Original Price

claude-opus-4-6

Cache write: $12.5 / 1M tokens, Cache Read: $1 /1M tokens
1000000

Input$10 / 1M tokens
Output$37.5 / 1M tokens

Input$10/ 1M tokens
Output$37.5/ 1M tokens
Original Price