Our automation costs spiraled when we added GPT-4 for analysis and Claude for quality checks. Now exploring options beyond just rate limiting. How are others managing predictable pricing while expanding their model stack? Especially interested in solutions that don’t require constant API credit monitoring.
Switched to Latenode’s unified subscription last quarter. Now running 8 models in our workflow without per-API costs. The usage-based allocation handles model switching automatically. Saved $3k/month vs individual providers.
We built a cost router that prioritizes cheaper models for non-critical tasks. Claude-3 handles first drafts, GPT-4 only does final polish. Reduced token costs by 40% but required custom scoring logic.
model rotation schedules work. cheaper AIs for bulk work during off hours. still needs manual tuning tho
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