Multi-Model Orchestrator — 90% AI Cost Savings

Stop paying $5-10 per sub-agent task when it could cost $0.01-0.10. The Multi-Model Orchestrator pattern uses expensive models (Claude Opus) as the manager/reviewer and cheap models (MiniMax M2.5, Kimi K2.5) as workers.

Real cost savings from production use:

• Shopify sync diagnosis: $0.02 on MiniMax vs $5+ on Opus
• PR review on every commit: pennies per review
• 5 parallel research agents: $0.10 total vs $25+ on Opus

What's included:

🏗️ Architecture — Manager/worker model with clear role separation

💰 Cost Analysis — Real token costs and savings calculations

🔀 Routing Framework — Decision matrix for when to use expensive vs cheap models

⚙️ OpenClaw Setup — Step-by-step configuration with model aliases

🔧 4 Orchestration Patterns:

• Fan-out (parallel cheap workers → expensive aggregator)
• Review chain (cheap writes → expensive reviews)
• Escalation (start cheap → escalate if complex)
• Cost-aware routing (auto-select based on task complexity)

📊 Model Comparison Table — Opus vs Sonnet vs MiniMax vs Kimi rated by task type

🛡️ Guardrails — Token budgets, quality gates, never let cheap models make architecture decisions

Works with OpenClaw, Claude Code, and any multi-model agent setup.