SuperMatBench
Ling-3.1-flash 51.2% In use Models answer materials chemistry questions in a QA part and solve materials tasks with tools in an Agent part.
Known only from a one-line footnote in the Ling-3.1-flash model card. No paper, dataset or repository was found, so the scoring method is a guess.
Made by Ant Group and Peking University Released Oct 2026 Research science Tasks kept private Last in a launch post Oct 2026
Last model added Oct 2026
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
Ling-3.1-flash leads with 51.2%
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 Ling-3.1-flash 51.2%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Ling-3.1-flash | 51.2% | Oct 2026 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
One lab put it in a launch post in the last six months
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 |
|---|---|---|---|
| 13 Oct 2026 | Ling-3.1-flash | 51.2 | Supermatbench (QA) 51.23 / Supermatbench (Agent) 31.75 |
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