Opencode Best Model Selection Guide: Complete Comparison from Cloud to Local

Translation in Progress - This article is being translated from Chinese. For the most up-to-date content, please refer to the Chinese version.

Choosing the right AI model is key to using Opencode effectively. Different models have significant differences in code understanding, generation quality, response speed, and cost. This article will comprehensively compare various models to help you find the best configuration.

Cloud Models Comparison

1. Claude 3.5 Sonnet - Best Overall Choice

Recommendation: ⭐⭐⭐⭐⭐

Claude 3.5 Sonnet is currently the default recommended model for Opencode and the first choice for most developers.

Advantages:

  • Strongest code understanding: Accurately understands complex code logic and project structure
  • High refactoring quality: Excels at large-scale code refactoring while maintaining consistent code style
  • Large context window: 200K tokens, can handle large files
  • Precise instruction following: Strictly follows your requirements without "improvising"

Use Cases:

  • Complex code refactoring
  • Architecture design and optimization
  • Code review and bug fixes
  • Technical documentation generation

Configuration Example:

{
  "modelPreferences": {
    "default": "claude-3-5-sonnet-20241022"
  }
}

Cost: $3/million input tokens, $15/million output tokens

2. Claude 3.5 Haiku - Speed Champion

Recommendation: ⭐⭐⭐⭐

If you pursue ultimate response speed, Haiku is the best choice.

Advantages:

  • Extremely fast response: Usually returns results within 1-2 seconds
  • Low cost: Price is only 1/5 of Sonnet
  • Excellent code completion: Suitable for quick code generation and completion

Use Cases:

  • Daily code completion
  • Simple function generation
  • Quick Q&A
  • Code formatting

Full translation coming soon. For complete content, please visit the Chinese version.

Last Updated: