Panda Router Brings Local Model Routing

Smart routing is becoming practical infrastructure, but Panda Router’s strongest differentiator is its compact, offline decision loop rather than unverified savings claims.

• –Uses an ONNX profiler, calibrated success estimates, cost, latency, and model skills to rank roughly 65 models
• –Supports Cheap, Neutral, and Best routing modes with customizable model cards
• –Includes escalation ladders and outcome logging, enabling verified retries instead of one-shot model selection
• –Repository evaluations report 77.3% success for single picks and 88.7% with escalation, though the benchmark is self-produced and relatively small
• –Local execution keeps task details private and avoids the latency and cost of asking a frontier model to reason over the full model catalog