Gradient
@Gradient_HQ
Open infrastructure for open intelligence. Lattica · Parallax · Echo
Joined May 2024
76 Following 689.8K Followers
More capable models require more routing decisions, and better ways to benchmark how routers execute.
That’s what TwinRouterBench is built for.
Congrats to the team on the NeurIPS 2026 acceptance.
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Can a coding agent choose the right model at every step?
Excited to share that our collaboration with @Gradient_HQ, TwinRouterBench, is accepted by NeurIPS 2026! 🎉 We route model calls at each agent step based on what the task needs next.
On 100 held-out SWE-bench Verified tasks, our router cut API cost by 53.1% vs. always using Claude-Opus 4.6, while resolving 75 vs. 74 tasks.
Paper:
Code:
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