Dev Tools · 1h ago
Flat-rate LLM endpoint for n8n and Make automations
Modelis offers a flat per-call pricing for summarization, classification, and extraction tasks, capping output at ~1024 tokens. It uses an OpenAI-compatible API that can be integrated into n8n and Make via HTTP requests or a local proxy. This approach keeps costs predictable for high-volume, bounded-output automations.
Meridian48 take
The flat-rate model is a practical cost-control hack for repetitive AI tasks, but the 1024-token cap limits its use to short outputs only.
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A flat per-call endpoint for summarize / classify / extract in your n8n and Make automations →
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