If you just started using OpenClaw and you are worried about API costs, here is the simplest possible setup.
Step 1: Start Free
TeamoRouter has a free tier with unlimited MiniMax M2.7 calls. No credit card. Install in 2 seconds:
Read https://gateway.teamo.ai/skill.md
Select teamo-free mode. Done. You now have a working LLM in OpenClaw at zero cost.
Step 2: Learn What Each Task Needs
Use the free model for a week. You will quickly learn which tasks it handles fine and which ones need a better model. In my experience:
- ✅ File reads, grep, simple formatting — free model is fine
- ✅ Basic Q&A, test boilerplate — free model is fine
- ⚠️ Complex refactors, debugging — you will want to upgrade
- ❌ Architecture decisions — definitely need a premium model
Step 3: Upgrade Only What Matters
Switch to teamo-balanced mode. This auto-picks the cheapest model that handles each task. Simple stuff stays on the cheap model. Complex stuff routes to Claude or GPT-4o.
First $25 of paid usage is 50% off.
Why This Beats Going All-In on Claude
- You learn which tasks actually need expensive models (spoiler: fewer than you think)
- You never hit rate limits (requests spread across providers)
- You can always override with
teamo-bestfor specific tasks
Discord for setup help — we are a small community helping each other get started.
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