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Open source LLM vs. API: which suits your company?

AxisOne Team
Engineering & AI
April 9, 2026  •  7 min read

Should you use a commercial model via API or deploy an open source model on your own infrastructure? There's no single answer: it depends on your case, your data and your budget.

Both options are valid and often coexist. The key is to decide with criteria rather than by trend or fear.

When the API makes sense

When you prioritize maximum quality, fast setup and don't want to manage infrastructure. You pay per use and access the most capable models without operating anything.

When private open source makes sense

When privacy and data sovereignty are critical, when volume makes per-use cost spike, or when you need full control and customization through fine-tuning.

Decision factors

  • Data sensitivity and GDPR
  • Usage volume and cost at scale
  • Need for customization
  • Ability to operate infrastructure

At AxisOne we help you choose the right architecture and models, and deploy private open source LLMs when the case calls for it. If you're torn between paths, we'll evaluate it with you.

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