Why high: an exact fingerprint shared with 8 models.
Z.ai: GLM 5 is Z.ai's model, and its measured tokenizer sits in Z.ai's own signature group alongside its sibling models. Measured models from Aion Labs carry the same vocabulary, which reads as reuse of Z.ai's tokenizer line and questions nobody's authorship; they are listed under "Shares this fingerprint" below.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counts every one of the 50 test strings exactly like 8 other models | tk_133b086c |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_13a8202e |
| How much it can read and write | Reads up to 204,800 tokens at once, writes up to 128,000 | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | GMICloud | we measured it, 5 October 2026 |
| Measured twice | The 5 October 2026 reading agreed with the 3 September 2026 reading on every one of the 50 strings clean in both: the tokenizer behind this name held. | 50/50 agree |
Click a row to open the full comparison.
We sent Z.ai: GLM 5 fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 5 prompt tokens.
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {"temperature":1,"top_p":0.95,"frequency_penalty":null}
