← Wednesday, October 14, 2026AgentsBenchmark
A behavioral harness raises a smaller coding model from 3 of 10 runs to 10 of 10
In an API-building experiment, GPT-6 Luna succeeded in 3 of 10 runs without a harness and all 10 with one; harnessed runs cost 33% less than GPT-6 Sol runs. The results suggest behavioral harnesses can trade extra runtime and tokens for reliable, lower-cost coding-agent performance.
- What
- A behavioral harness combines guides that steer a coding agent before actions with sensors that report results afterward.
- How
- In the API-service experiment, GPT-6 Luna succeeded in 3 of 10 unharnessed runs and all 10 harnessed runs.
- Why it matters
- Executable guidance and feedback can improve smaller-model reliability, although harnessing increased Luna’s token use and runtime.
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