Simple framework that changed how I use LLMs:
60% of your tasks are simple. 40% are complex. Price accordingly.
I tracked my API usage for a month. The breakdown was consistent:
The 60% (Simple)
- File reads and grep
- Simple refactors (rename, extract, move)
- Test generation from existing code
- Formatting and lint fixes
- Basic Q&A
These run identically on DeepSeek-V3 at $0.0014/1K tokens. Or completely free on MiniMax M2.7.
The 40% (Complex)
- Multi-file architecture decisions
- Complex debugging (async, race conditions)
- System design
- Security analysis
- Code review (I use GPT-4o for this — catches different things than Claude)
These genuinely need Claude Sonnet at $0.015/1K tokens.
The Math
Before: 100% on Sonnet = ~$240/month
After: 60% on DeepSeek + 40% on Sonnet = ~$140/month
Saved: $100/month, zero quality loss
The Setup
TeamoRouter auto-applies this 60/40 split. One API key, 2-second install in OpenClaw.
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teamo-balanced: auto-picks per task -
teamo-free: unlimited free MiniMax for the simple 60%
Discord for routing configs.
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