Overview of Claude models

Shared Capabilities

• All three models share Claude's core capabilities: text generation, coding, image analysis, and other tasks
• Key difference is optimization, not fundamental ability

Opus

• Focus: Highest intelligence and capability
• Best for: Complex tasks requiring deep reasoning and planning; multi-step processes over extended periods
• Key feature: Supports reasoning mode (quick responses for simple tasks; extended thinking for complex ones)
• Trade-off: Moderate latency and higher cost

Sonnet

• Focus: Balance between intelligence, speed, and cost
• Best for: Most practical use cases
• Key strengths: Strong coding ability, fast text generation, precise edits to complex codebases
• Position: Sweet spot in the lineup

Haiku

• Focus: Speed and cost efficiency
• Best for: Real-time user-facing applications; high-volume processing
• Key limitation: Does not support reasoning capabilities
• Advantage: Fastest model with lowest cost

Model Selection Framework

Choose based on your priority:

• Intelligence priority → Use Opus (quality over speed/cost)
• Speed priority → Use Haiku (real-time interactions, high volume)
• Balanced needs → Use Sonnet (most common choice)

Multi-Model Strategy

• Don't limit yourself to one model per application
• Use different models for different tasks: Haiku for user interactions, Sonnet for business logic, Opus for complex reasoning

Takeaways

• Claude comes in three models optimized differently but sharing core capabilities: choose based on whether you prioritize intelligence (Opus), speed/cost (Haiku), or balance (Sonnet)
• Opus supports reasoning mode for complex multi-step tasks; Haiku is fastest and cheapest but lacks reasoning; Sonnet balances all three factors
• Use multiple models within the same application—route simple/fast tasks to Haiku, complex reasoning to Opus, and general work to Sonnet