AI Guides › Trend Watch

The Difference Between An Open Model And An Open Company

By Nigel Guy · 2 min read

"Open" is one of the most stretched words in this industry. A company releases some model weights and gets described as open; another publishes a research paper and gets the same label; a third has "open" in its name and little else. People then carry that single word across to everything else the company does — its data practices, its governance, its future behaviour — as if one release settled all of it.

The rule: "open" describes a specific artefact released under specific terms, not a company's character — so ask "open how, and what exactly?" before letting the word do any work in your decision.

The Openness Ladder

Openness comes in layers, and a release can sit on one rung without touching the others. When you see the word, work out which of these it actually covers:

  1. Open access — you can use the model through an interface or API, usually free or cheap. This is availability, not openness in any deeper sense.
  2. Open weights — the trained model files are downloadable, so you can run it yourself. What you're allowed to do with them depends entirely on the licence.
  3. Open licence — the terms genuinely permit use, modification, and redistribution, including commercially, without awkward carve-outs. Many "open" releases have restrictions here worth reading.
  4. Open recipe — training code, methods, and meaningful detail about the data are published, so others could understand or reproduce the work.
  5. Open organisation — the company is transparent about governance, decision-making, safety practices, and how it handles your data across all its products, not just one release.

A release can be high on rung two and low on rung five. That's not a contradiction; it's just a company making one specific thing available.

The questions to ask

What to skip

Guardrails

All 751 AI guides · JulieMango plans from £17/mo