The problem: every request was hitting our most expensive model, even simple formatting tasks that GPT-4o-mini handles perfectly. According to recent data, enterprises are spending an average of $85k/month on AI with 75% year-over-year growth, but 80% aren't seeing meaningful ROI.
APICrusher routes requests automatically based on complexity analysis: - Basic tasks → GPT-4o-mini ($0.15/1M tokens) - Standard queries → GPT-4o ($2.50/1M tokens) - Complex reasoning → GPT-5 ($15/1M tokens)
The routing happens transparently: ```python from apicrusher import OpenAI client = OpenAI(api_key="sk-...", apicrusher_key="apc_...") response = client.chat.completions.create(...) # Routes automatically
Results so far: 90% cost reduction on mixed workloads, with teams collectively saving $47k+ monthly. Works across 15+ providers since 37% of enterprises now use multiple models.
Demo: https://apicrusher.com
Open source version: https://github.com/apicrusher/apicrusher-lite
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