# Model Selection
Choose the right model for your task.
## Available Models
### gemini-2.5-pro
- **Best for**: Complex analysis, large codebases
- **Context**: 2M tokens
- **Use when**: Analyzing entire projects, architectural reviews, stronger reasoning
### gemini-2.5-flash
- **Best for**: Quick responses, routine tasks
- **Context**: 1M tokens
- **Use when**: Fast code reviews, Analyzing entire projects, simple explanations
## Setting Models
```bash
You need use natural language: "...using gemini-2.5-flash"
```
```bash
You can also append with '-m' or ask specifically with
```
### In Configuration
```json
{
"mcpServers": {
"opencode": {
"command": "opencode-mcp",
"env": {
"OPENCODE_MODEL": "gemini-2.5-flash"
}
}
}
}
```
### Per Request (Coming Soon)
```
/opencode:analyze --model=gemini-2.5-flash @file.js quick review
```
## Model Comparison
| Model | Speed | Context | Best Use Case |
|-------|-------|---------|---------------|
| gemini-2.5-pro | Slower | 2M tokens | big ideas |
| gemini-2.5-flash | Fast | 1M tokens | quick, specific changes |
## Cost Optimization
1. **Start with gemini-2.5-flash** for most tasks
2. **Use gemini-2.5-pro** only when you need the full context
3. **gemini-2.5-flash** for simple, repetitive tasks
## Token Limits
- **gemini-2.5-pro**: ~2 million tokens (~500k lines of code)
- **gemini-2.5-flash**: ~1 million tokens (~250k lines of code)
## Recommendations
- **Code Review**: gemini-2.5-flash
- **Architecture Analysis**: gemini-2.5-pro
- **Quick Fixes**: gemini-2.5-flash
- **Documentation**: gemini-2.5-flash
- **Security Audit**: gemini-2.5-pro
