Matbench
Models predict properties of inorganic materials in 13 supervised tasks built from DFT and experimental data. Scored with error or classification metrics per task.
Built for materials ML models. Intern-S models report an LLM version of its property prediction tasks, and the exact subset is not stated.
- Released
- May 2020
- Kind
- Research science
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Last in a launch post
- February 2026, dropped before it saturated
- Last model added
- March 2026
Intern-S1 leads with 75.0
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.
- 1
Intern-S1 75.0
- 2
Intern-S1-Pro 72.8
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 75.0 | Jul 2025 | Lab model card | |
| 2 | | 72.8 | Feb 2026 | Lab model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
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 headline it less often now, last in February 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Feb 2, 2026 | 72.8 | MatBench (Materials Property Prediction) | |
| Jul 24, 2025 | 75 | MatBench |
2 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| Mar 26, 2026 | | 72.8 | MatBench, Materials Property Prediction, non-thinking (Table 2) | Capabilities |
| Aug 21, 2025 | | 75 | MatBench (Table 3) | Capabilities |
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