Gradient
@Gradient_HQ
Open infrastructure for open intelligence. Lattica · Parallax · Echo
加入 May 2024
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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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