RD-TableBench
Nemotron Nano 12B v2 VL 57.4% Only in system cards Models extract 1,000 hand-labeled complex tables from document images, including scans, handwriting and merged cells. Scored by Levenshtein-based row and cell alignment.
Reducto released only a subset of its evaluation framework to protect scoring. NVIDIA reports it for Nemotron Nano V2 VL.
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
Nemotron Nano 12B v2 VL leads with 57.4%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Nemotron Nano 12B v2 VL | 57.4% | Nov 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 6 Nov 2025 | Nemotron Nano 12B v2 VL technical report | 57.4 | RDTableBench, reasoning on (Table 3). Reasoning off 67.8 | Capabilities |
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