SPBench
Nemotron 3.5 Super VL 63.8% Spatial perception and reasoning questions built from ScanNet scenes. A single-image set covers distance, size and direction, and a multi-view set adds counting across views. Answers are numbers or multiple choice.
Reports do not always say whether a score is the single-image set, the multi-view set or both.
- Made by
- Zhejiang University and collaborators (SpatialLadder)
- Released
- October 2025
- Kind
- Spatial reasoning and counting
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Last in a system card
- October 2026
- Last model added
- October 2026
Nemotron 3.5 Super VL leads with 63.8%
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.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Nemotron 3.5 Super VL | 63.8% | Oct 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 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 |
|---|---|---|---|---|
| Oct 15, 2026 | Nemotron 3.5 Super VL technical report | 63.8 | SPBench, SpatialClaw harness, with agentic vision training, Table 7 | Capabilities |
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