AI Desk · AI FingerprintingNew arrival
Why high: an exact fingerprint shared with 40 models that declare the same family, without a second signal of a different kind yet.
Xiaomi: MiMo-V2.6-Pro-UltraSpeed is Xiaomi's model. Its measured tokenizer sits with the Qwen group, which is evidence that it builds on the Qwen tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Xiaomi's authorship of the model itself.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counts every one of the 50 test strings exactly like 40 other models | tk_5410b38e |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_0d07d0c9 |
| How much it can read and write | Reads up to 1,048,576 tokens at once, writes up to 131,072 | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | Xiaomi | we measured it, 5 October 2026 |
Click a row to open the full comparison.
We sent Xiaomi: MiMo-V2.6-Pro-UltraSpeed 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: 7 prompt tokens.
MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningresponse_formatstopstructured_outputstemperaturetool_choicetoolstop_p
defaults: {"temperature":1,"top_p":0.95,"frequency_penalty":0}
