AI Desk · AI FingerprintingNew arrival
Why high: an exact fingerprint shared with 22 models that declare the same family, without a second signal of a different kind yet.
NVIDIA: Nemotron 3.5 Super VL is NVIDIA's model. Its measured tokenizer sits with the Mistral group, which is evidence that it builds on the Mistral tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against NVIDIA'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 22 other models | tk_0da8a999 |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_b175374c |
| How much it can read and write | Reads up to 1,048,576 tokens at once, writes up to 235,929 | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | Crusoe | we measured it, 17 October 2026 |
Click a row to open the full comparison.
We sent NVIDIA: Nemotron 3.5 Super VL 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: 16 prompt tokens.
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
