Flat per-call LLM endpoint promises predictable costs for n8n and Make automations

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A developer has introduced Modelis, an OpenAI-compatible API gateway designed to bring flat-rate pricing to high-volume automation tasks such as text summarization, classification, and field extraction. Unlike standard LLM providers that charge per token, Modelis charges a fixed price per API call with outputs capped at approximately 1,024 tokens, making monthly costs easier to forecast. The service integrates with popular automation platforms like n8n and Make via standard HTTP request nodes or a lightweight open-source proxy adapter. It is available through RapidAPI with a free tier, and the adapter source code is publicly accessible on GitHub. The developer cautions that the tool is not suited for long-form generation tasks, as outputs exceeding the token cap will be truncated.

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