Anthropic · Claude 4

Claude Sonnet 4.6

The pragmatic default - Claude quality without Opus pricing.

Claude Sonnet 4.6 is a large language model developed by Anthropic as part of the Claude 4 family. It is designed for versatile applications in text and image processing, featuring a massive 1,000,000 token context window that enables deep context awareness and long-form content generation. This multimodal capability allows it to perform tasks involving both textual and visual data with high accuracy and reliability.

Technically, the model integrates advanced architecture and attention mechanisms to handle complex text relationships effectively, ensuring coherence and reducing hallucination rates in extended tasks. It is fine-tuned for safety alignment and robust performance, making it an ideal tool for complex, high-context workflows.

Claude Sonnet 4.6 represents a flagship advancement in the Claude 4 lineup, introducing one of the largest context windows in the industry and refined multimodal capabilities. Compared to its predecessors, it offers improved coherence, data handling, and safety alignment, making it more suited for modern, large-scale applications.

Background

Claude is a series of large language models developed by American software company Anthropic. Claude was released as a AI chatbot in March 2023. It is also used in AI-assisted software development.

Wikipedia

Specs

Context window: 1M tokens
Max output: 128K tokens
Input ($/1M tokens): $3.00
Output ($/1M tokens): $15.00
Modalities: Text · Image · File
Weights: Closed

Pricing last synced May 12, 2026 via OpenRouter. Confirm against official docs before committing.

Capabilities

Tool use
Vision
Extended thinking
Prompt caching
Open weights

What it excels at

Large context window
Processes up to 1,000,000 tokens for extensive context handling.
Multimodal capabilities
Supports both text and image inputs for versatile applications.
Improved coherence
Maintains contextual relevance in long-form and detailed tasks.
Safety alignment
Reduces the likelihood of producing harmful or misleading outputs.
Nuanced comprehension
Delivers precise and relevant responses with advanced text analysis.

When to use this model

→Document summarization - Handles extended texts with its large context window.
→Multimodal content creation - Generates outputs combining text and image inputs seamlessly.
→Complex query answering - Leverages deep context to deliver detailed and accurate answers.
→Educational support - Provides detailed explanations over long interactions.
→Enterprise knowledge management - Processes and contextualizes large datasets efficiently.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.

Recent coverage

What people are saying

Show HN: A new benchmark for testing LLMs for deterministic outputs

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API model id

claude-sonnet-4-6

Vendor docs: docs.anthropic.com

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