Tuned harness beats the latest model: older GPT gains ~10 points untuned

VictorSanh · x · 2026-11-04

Hugging Face's Victor Sanh pushes back on the 'wait for the next model' mindset among vertical AI app builders: his team tuned an agent harness around a model 9 months older than the latest one, and it beats the newest model by nearly 10 points on held-out AutomationBench tasks.

The chart shows tuned versions of GPT-5.2, GPT-5.4 Mini and GPT-5.6 Luna all clustering around 48% task completion, while the untuned latest GPT-6 Luna (medium) sits near 40% and untuned older models range from 30% up. Takeaway: harness tuning can yield more than a full model generation upgrade.

Related event: Hugging Face's Beaker: tuned harness lets older model beat the newest by ~10 points(7 posts)→

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