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From Hashnode: why we stopped routing every AI task to the most expensive model

Germán, our CTO, wrote on Hashnode about how Napsix picks a model per task instead of always using the most expensive one. A technical post on cost, quality and routing across providers.

Back to NewsNovember 3, 2026lanzamientohashnodeingenieriamodelos-iarouting
From Hashnode: why we stopped routing every AI task to the most expensive model

Why we stopped routing every AI task to the most expensive model

An engineering post, not a marketing one

Hashnode is a blogging platform for developers. There, Germán Giménez, CTO and co-founder of Napsix, published "Why we stopped routing every AI task to the most expensive model".

What it covers

Sending everything to the strongest model feels safe, but it's expensive and often doesn't improve the result. The article explains how we approach that decision at Napsix:

  • Why not every task needs the same model.
  • How a multi-provider gateway (Bedrock, Anthropic, OpenAI, OpenRouter and others) fits in.
  • Where Mato v1.0, our fine-tuned tool-calling model at $0 per token, comes in.

Join the conversation

Read it, leave a comment with your own experience, or follow the blog on Hashnode for the next technical posts. Hard questions welcome.

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