Ling 3.1 Flash 1019: open weights, stronger agents, heavier token use
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Ling 3.1 Flash 1019, an open weights model and successor to Ling 3.1 Flash, scores 44 on the Artificial Analysis Intelligence Index v4.3, up from 41 @AntLingAGI has released Ling 3.1 Flash 1019, an update to Ling 3.1 Flash, their reasoning model with 560B total parameters, 25B active parameters, and a 1M token context window. It scores 44 on the Artificial Analysis Intelligence Index v4.3, up from 41 from Ling 3.1 Flash. Like Ling 3.1 Flash, Ling 3.1 Flash 1019 is open weights. Key results: ➤ Ling 3.1 Flash 1019’s agentic capabilities improve over Ling 3.1 Flash. On AA-Briefcase v1.1, Ling 3.1 Flash 1019’s Elo is 1521, up 124 points from 1397 for Ling 3.1 Flash. Its Elo on GDPval-AA v2.1 is 1653, up from 1617 for its predecessor, an increase of 36 points. On AutomationBench-AA, Ling 3.1 Flash 1019 scores 68%, a 6 point increase from Ling 3.1 Flash’s score of 62% ➤ Ling 3.1 Flash 1019’s makes gains in scientific reasoning compared to its predecessor. Ling 3.1 Flash 1019 scores 43% on Humanity’s Last Exam, a 4-point improvement from 39% for Ling 3.1 Flash. It scores 26% on CritPt, an 8-point increase from 18%. ➤ Ling 3.1 Flash 1019 uses more output tokens per task than Ling 3.1…
An MIT-licensed open-weights with a 1M and low per- prices, with measured agentic gains and 40% more output tokens per task. Cost per task matters more than list price.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
- reasoning model — A model trained to think — generating extended internal reasoning before answering — trading time and tokens for accuracy on hard problems.
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