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Top-Tier Reasoning

Claude Sonnet 4.6

Claude Sonnet 4.6 is Anthropic's most capable Sonnet model yet, delivering frontier-level performance in coding, computer use, and complex reasoning with a 1 million token context window at an affordable price point. It reaches performance parity with the more expensive Opus 4.5 model while maintaining Sonnet pricing, making it ideal for large-scale production deployments and autonomous AI workflows.

1M Context
Top-Tier Intelligence
Aug 2025 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

GPQA
87.5%
Coding Index
50.9%
MMLU Pro
0.0% ± 0.43

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use Claude Sonnet 4.6?

Near-Opus Intelligence

Delivers advanced coding, long-horizon reasoning, agent planning, and design skills rivaling flagship models

1M Token Context Window

Handles massive codebases, contracts, or research bundles with extended effective context and planning

Frontier Agentic Skills

Excels in computer use like navigating spreadsheets, web forms, browser tasks, and autonomous workflows with enhanced safety

Capability Examples

Advanced Coding Assistance
Write a Python function to refactor a multi-file codebase for a user authentication system, handling edge cases like expired tokens and rate limiting.
Here's a refactored Python module using async/await for better scalability. Key improvements: JWT token validation with expiration checks, Redis-based rate limiting, and modular error handling. [Full code with comments provided].
Long-Horizon Agent Planning
Plan a multi-step workflow to analyze a 500k-token financial dataset: extract KPIs from spreadsheets, cross-reference with web search results, generate a summary report, and simulate browser actions to update a CRM entry.
Step 1: Ingest dataset via 1M token context. Step 2: Use adaptive thinking (high effort) to compute KPIs. Step 3: Dynamic web search with filtering for market data. Step 4: Computer use to navigate CRM, input updates. Report generated: [Key insights]. All executed autonomously.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Claude Sonnet 4.6 is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is Claude Sonnet 4.6 better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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