pareto-code

Pareto-code is a dynamic routing layer designed to optimize the trade-off between coding performance and latency/cost. Instead of hitting a single static model, this router maintains a tiered shortlist of high-performing LLMs, ranked specifically by their coding percentiles from Artificial Analysis. For developers, this means you aren't overpaying for GPT-4o when a smaller, faster model can handle a simple refactor, yet you aren't sacrificing quality on complex algorithmic tasks. The core mechanism relies on the 'min_coding_score' parameter, allowing you to set a quality threshold between 0 and 1. If a task requires high reasoning, the router escalates to top-tier models; if the task is trivial, it routes to more efficient engines. It integrates seamlessly via the OpenRouter API, making it an ideal middle-layer for building autonomous coding agents or IDE extensions where reliability and cost-efficiency are equally critical.