Optimizing with Three-Tier Model System

Master the Simple, Capable, and Complex model tiers for cost-effective AI workflows.

Three-Tier Model System\n\n### Understanding Tiers\n\nSimple Tier (Fast & Cheap)\n- Models: GPT-4o-mini, Claude Haiku\n- Use for: Data extraction, formatting, simple analysis\n- Cost: ~$0.15 per 1M tokens\n\nCapable Tier (Balanced)\n- Models: GPT-4o, Claude Sonnet\n- Use for: Complex reasoning, code generation\n- Cost: ~$5 per 1M tokens\n\nComplex Tier (Maximum Intelligence)\n- Models: o1, Claude Opus\n- Use for: Research, complex problem-solving\n- Cost: ~$15+ per 1M tokens\n\n### Workflow Optimization\n`yaml\nData Extraction Node: Simple\nAnalysis Node: Capable\nDecision Node: Complex\nFormatting Node: Simple\n`\n\n### Auto-Tier Selection\nNodes can specify tier requirements:\n`json\n{\n "modelTier": "capable",\n "fallbackTier": "simple"\n}\n`\n\n### Cost Optimization\n- 80% of tasks work well with Simple tier\n- Use Capable for core logic\n- Reserve Complex for critical decisions\n- Monitor tier usage in dashboard