Claude 4 Opus Description

Anthropic’s Claude Opus 4 is an advanced AI model for coding, reasoning, and analytics. With a 200K-token context window, it delivers unmatched precision.

‍Technical Specification

Performance Benchmarks

Claude Opus 4 is optimized for coding, reasoning, and text-based analytics.

• Context Window: 200K tokens.
• Output Capacity: Up to 32K tokens per response.
• Performance Benchmarks: SWE-bench: 72.5%, Terminal-bench: 43.2%.

• API Pricing:
  • Input tokens: $15.75 per million tokens.
  • Output tokens: $78.75 per million tokens.
  • Cost for 1,000 tokens: $0.01575 (input) + $0.07875 (output) = $0.0945 total.

Performance Metrics

Key Capabilities

Claude Opus 4 delivers precise outputs for complex workflows.

• Advanced Coding: Excels in multi-file code refactoring and autonomous coding tasks.
• Advanced Reasoning: Superior 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: Large-scale code refactoring, autonomous PRs, and multi-file changes.
• Data Analysis: Processing complex business datasets.
• Business Automation: Streamlining workflows with API integration.
• Complex Problem-Solving: Tackling multi-step reasoning tasks.

Code Samples

Comparison with Other Models

Comparison with Other Models

• Vs. Gemini 2.5 Flash: Superior coding accuracy (72.5% vs. 63.8% SWE-bench), ideal for complex software engineering.
• Vs. OpenAI o3-mini: Stronger coding performance (72.5% vs. 69.1% SWE-bench), better for autonomous workflows.
• Vs. Qwen3-235B-A22B: Higher coding precision (72.5% vs. ~60% SWE-bench, estimated), optimized for multi-file coding.

Limitations

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

API Integration

Accessible via AI/ML API. Documentation: available here.