Hybrid agent system closes local model gap on Terminal Bench 2.1
AravSrinivas · x · 2026-08-25
Arav Srinivas notes that local models still lag behind frontier models. By implementing an 'advisor escalation' strategy that routes tasks to cloud-based frontier models when needed, this hybrid agentic system improved scores on Terminal Bench 2.1 from 59.6% to 73.0% at $0.415 per rollout, recovering about three-fifths of the frontier gap at two-thirds of the cost.
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