My comparison of LLMs, Jev and CDMs was all reading: docs, papers and vendor numbers. It left me wanting something I could run myself. GLiNER2 is that thing. It is an Apache-2.0 extraction model from Fastino that runs on a CPU, and you give it a schema, not a prompt.

So I ran it on this laptop against Claude Haiku 5.5, with 640 labelled examples. I could not find an independent head-to-head for JSON extraction, which is the part I care about most.

The short version: GLiNER2 is very fast and fine when the answer is written plainly in the text. Haiku was more accurate on every test but one, and the gap gets wide as soon as a value needs judgment.

Percent correct.…