A Jev that can ask Opus for help gives Opus accuracy at 4x lower cost
Testing Jev and GPT-6 Luna as identity resolution judges, researchers found a hybrid Jev-Claude Opus system achieves near-frontier accuracy at over four times lower cost. Jev's superior confidence calibration allows it to selectively escalate difficult cases to Opus, outperforming Luna which suffers from overconfidence. The approach enables scalable, cost-effective identity verification.
Key signals
- 01Hybrid Jev-Opus matches frontier accuracy at 4x lower cost
- 02Jev's better calibration enables selective Opus escalation
- 03Luna's overconfidence limits hybrid performance
A Jev that can ask Opus for help gives Opus accuracy at 4x lower cost is on the Hacker News front page right now, submitted by theanomaly.
We tested Jev and GPT-6 Luna as judges for identity resolution. A hybrid of Jev and Claude Opus matched frontier accuracy at over 4x lower cost.
— hightouch.com
Read the full story at the source: hightouch.com.
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