[r/ML] [D] Tested model routing on financial AI datasets — good savings and curious what benchmarks others use.

Summary

A benchmark evaluated model routing strategies on financial AI datasets to achieve cost savings by matching prompt complexity to different LLMs. It compared a baseline of using Claude Opus for all tasks against an intra-provider strategy (Haiku/Sonnet/Opus) and a flexible strategy that routed medium complexity prompts to self-hosted Qwen 3.5 27B/Gemma 3 27B, reserving Opus for complex tasks. The findings aim to demonstrate the efficiency of complexity-based model selection for cost optimization.

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