SuperMatBench

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.

Model scored in lab cards

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.

Bars Table

Source: Labs’ model cards

#	Model	Score	Setting	Date	Source
1	Ling-3.1-flash	51.2%		Oct 2026	Lab model card

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

Source: Labs’ model cards

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.

Ant Group

Date	Launch post	Score	As the post writes it
Oct 13, 2026	Ling-3.1-flash	51.2	Supermatbench (QA) 51.23 / Supermatbench (Agent) 31.75