Claude Sonnet 4 Description

Anthropic’s Claude Sonnet 4 is an efficient AI model for coding, reasoning, and analytics. With a 200K-token context window, it offers precise solutions.

Technical Specifications

Performance Benchmarks

Claude Sonnet 4 balances efficiency and performance for coding and reasoning.

• Context Window: 200K tokens.
• Output Capacity: Up to 64K tokens per response.
• Performance Benchmarks: SWE-bench: 72.7%, Terminal-bench: 35.5%.

• API Pricing:
  • Input tokens: $3.15 per million tokens.
  • Output tokens: $15.75 per million tokens.
  • Cost for 1,000 tokens: $0.00315 (input) + $0.01575 (output) = $0.0189 total.

Performance Metrics

Key Capabilities

Claude Sonnet 4 delivers reliable outputs for diverse workflows.

• Advanced Coding: Excels in code reviews, bug fixes, and multi-file edits.
• Advanced Reasoning: Strong in multi-step reasoning for analytics and problem-solving.
• Tool Utilization: Supports function calling and JSON structuring for API automation.
• API Features: Provides streaming and function calling for scalable applications.

Optimal Use Cases

• Coding: Code reviews, bug fixes, and multi-file code edits.
• Data Analysis: Processing business datasets.
• Business Automation: Streamlining workflows with API integration.
• Complex Problem-Solving: Tackling multi-step reasoning tasks.

Comparison with Other Models

• Vs. Gemini 2.5 Flash: Superior coding accuracy (72.7% vs. 63.8% SWE-bench), ideal for software development.
• Vs. OpenAI o3-mini: Stronger coding performance (72.7% vs. 69.1% SWE-bench), better for efficient coding tasks.
• Vs. Qwen3-235B-A22B: Higher coding precision (72.7% vs. ~60% SWE-bench, estimated), optimized for code efficiency.

Code Samples

Limitations

• No vision capabilities.
• No fine-tuning support.
• Limited to text-based tasks.

API Integration

Accessible via AI/ML API Documentation: available here.