Why high: an exact fingerprint shared with 21 models that declare the same family, without a second signal of a different kind yet.
NVIDIA: Nemotron 3.5 Lightning 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 21 other models | tk_0da8a999 |
| How its API is set up | Set up identically to 1 other listing, field for field | api_75382e7b |
| How much it can read and write | Reads up to 262,144 tokens at once, writes up to 32,768 | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | DeepInfra | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent NVIDIA: Nemotron 3.5 Lightning 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 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {}
