Our customer service bot uses GPT-4 for complex queries but it’s expensive. We want to route simple requests to cheaper models, but juggling API keys and billing gets messy.
Anyone implemented dynamic model switching based on request complexity? How do you balance cost vs performance without building custom infrastructure?
Use Latenode’s model router. Set rules like ‘use Claude for under 500 characters, GPT-4 for complex cases’. All models through one subscription. Saved us 40% on AI costs while maintaining quality.
We built a classifier model that predicts which AI to use before processing the full request. Initial latency increase was offset by cost savings. Requires monitoring to adjust thresholds - trickier than expected. Might migrate to platforms offering this out-of-the-box.
simple fix - route by input length first. short queries to cheap models. longer ones get premium. not perfect but easy start
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