Claude Sonnet 4.6

by Anthropic

Near-flagship intelligence at mid-tier pricing with major advances in computer use, coding, and reasoning. Released February 17, 2026.

Overview

Claude Sonnet 4.6 represents a full upgrade across multiple dimensions—coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It delivers Opus-class performance for many workflows while maintaining higher speed and lower cost.

Core Capabilities

Computer Use: Major Advancement

  • Interacts with computers like humans (clicking, typing, navigating)
  • Works across legacy systems and modern applications (Chrome, LibreOffice, VS Code)
  • Human-level capability on practical tasks (complex spreadsheets, multi-step web forms)
  • 94% on insurance benchmarks (Box testing)
  • 15 percentage point improvement over Sonnet 4.5 on heavy reasoning Q&A

Coding & Software Engineering

  • 80.2% on SWE-bench Verified (with prompt modification, averaged over 10 trials)
  • Expert-level code quality and refactoring
  • Multi-file codebase navigation
  • Best-in-class performance on agentic workflows

Long-Context Reasoning

  • 1M token context window (beta)
  • Context compaction: automatically summarizes older context
  • Strong performance on Humanity’s Last Exam (complex multidisciplinary reasoning)
  • Better at finding and reasoning across long contexts

Design & Visual Output

  • Notably more polished visual outputs
  • Better layouts, animations, and design sensibility
  • Fewer iteration rounds to production-quality results
  • Preferred over Opus 4.5 in 59% of user comparisons

Adaptive Thinking Features

  • Intelligent decision-making on when deeper reasoning is needed
  • Extended thinking for complex reasoning tasks
  • Web search and fetch tools that automatically write and execute code
  • Generally available tools: code execution, memory, programmatic tool calling, tool search

Performance Benchmarks

  • SWE-bench Verified: 80.2% (with prompt modification)
  • Humanity’s Last Exam: Strong results on complex multidisciplinary reasoning
  • ARC-AGI-2: High scores with max/high effort
  • OSWorld: Substantially improved computer use capabilities
  • BigLaw Bench: 90.2% (legal work)
  • Insurance Benchmarks: 94% accuracy

User Feedback

Early customers report:

  • Strong frontend code generation
  • Excellent financial analysis capabilities
  • Less prone to overengineering compared to Opus 4.5
  • Better instruction following and fewer hallucinations
  • More consistent multi-step task completion
  • Lower rate of “laziness” in responses

Pricing

  • Input tokens: $3.00 per million
  • Output tokens: $15.00 per million
  • Significantly lower cost than Opus 4.6 while maintaining high performance

Best Use Cases

  • Support automation and customer service
  • Finance operations and analysis
  • Internal tooling and multi-step automation
  • Full-stack web development
  • Code review and security analysis
  • Multi-step document generation
  • Extended conversations with context management

Key Advantages

  1. Intelligence-to-Price Ratio: Practical choice as default for many workflows
  2. Computer Use: Human-level interaction with digital systems
  3. Context Window: 1M tokens enables processing large datasets
  4. Cost Efficiency: Lower compute bills, faster iteration cycles
  5. Reliability: More consistent multi-step task completion
  6. Enterprise Ready: Designed for scalable automation beyond prototypes

Market Impact

Represents a fundamental shift in AI economics—high intelligence at affordable pricing makes it practical for everyday workflows rather than premium use cases only. Organizations now treat it as reliable for multi-step automation rather than prototyping tool.

Availability

  • Anthropic API: Direct access
  • Azure Foundry: Integration with M365 Work IQ, Fabric IQ, web access
  • Google Cloud Vertex AI
  • Amazon Bedrock
  • Kiro: Available with credit system

Comparison to Previous Models

  • vs. Opus 4.5: Faster, more efficient, preferred 59% of the time
  • vs. Claude 3.5 Sonnet: Full upgrade across all dimensions
  • vs. OpenAI GPT-5.2: Different architectural approach, complementary strengths

See Also