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NVIDIA: Nemotron Nano 12B 2 VL (free)

nvidia/nemotron-nano-12b-v2-vl:free · NVIDIANot yet established
Tokenizer lineage (measured)
Mistral
Entered catalogue
28 October 2025
Last tested
21 August 2026
Evidence confidence
Low

Why low: partial agreement (40 of 47 strings) with nvidia/nemotron-nano-9b-v2:free only.

Evidence
  • ✓ partial agreement (40/47) with nvidia/nemotron-nano-9b-v2:free

Identity statement

NVIDIA: Nemotron Nano 12B 2 VL (free) 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.

What we checked

Four different kinds of evidence, and what each one showed
We checkedWhat we foundWhere it came from
How it counts tokensCounted, using the 47 strings that came back reliablywe measured it
How its API is set upA combination of settings no other listing in the catalogue usesapi_22e5c378
How much it can read and writeReads up to 128,000 tokens at once, writes up to 128,000its own listing
Whether it thinks before answeringReasons when asked toits own listing
Who served our requestsNvidiawe measured it, 21 August 2026

Closest measured models

Agreement across the mutually clean test strings

Click a row to open the full comparison.

The measured fingerprint

What each test string cost this model, in tokens

We sent NVIDIA: Nemotron Nano 12B 2 VL (free) 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.

All 50 rows, 3 excluded as corrupt

English and whitespace

en-prose13
en-long17
spaces-202
spaces-602
tabs-202
newlines-202
mixed-ws2

Digits

digits-99
digits-1212
digits-3030
digits-sep12
float-long22

CJK

zh-commonx
zh-long20
zh-rare20
ja-kana11
ja-kanji13
ko13

Other scripts

ru12
ar9
he10
hi14
th17
el13

Emoji

emoji-basic20
emoji-skin40
emoji-zwj-family19
emoji-zwj-x3x
emoji-flags32
emoji-prof35

Rare Unicode

math33
boxdraw30
combining14
cjk-ext-b16
surrogates53
zalgox
rtl-mix6

Code

py-code23
py-indent12
json24
html15
regex48
camel6
snake7

Repetition and encodings

rare-word-x535
repeat-tok40
base6438
hex19
url19
uuid36

An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 15 prompt tokens.

Declared record

What the catalogue claims about this model

NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s...

Modalities
text+image+video->text
Declared tokenizer
Other
Prompt price
$0 / M tokens
Completion price
$0 / M tokens

Supported parameters

include_reasoningmax_tokensreasoningseedtemperaturetool_choicetoolstop_p

defaults: {"temperature":null,"top_p":null,"frequency_penalty":null}

Catalogue entryWeights on Hugging Face

History

Every observation, kept as taken
  • 28 October 2025Enters the OpenRouter catalogue with no declared family.
  • 21 August 2026Fingerprinted in the YFarmX catalogue sweep · 47 of 50 strings measured clean.
  • 21 August 2026YFarmX assessment: consistent with the Mistral family, low confidence.

* NVIDIA: Nemotron Nano 12B 2 VL (free) no longer appears in the OpenRouter catalogue, first absent from the snapshot of 3 September 2026. The record stays because the measurements above were real when they were taken and this address has been published.