Ling 3.1 Flash 1019 开源发布，智能指数升至 44 分
蚂蚁的开源推理模型又更新了，智能体评测 Elo 涨了 124 分，MIT 协议权重直接开放，成本低过 Mistral 和 GLM。
AntLingAGI 发布 Ling 3.1 Flash 1019，为 Ling 3.1 Flash 的升级版，保持 560B 总参数、25B 激活参数和 1M token 上下文窗口。该模型在 Artificial Analysis Intelligence Index v4.3 上得分 44，较前代的 41 有所提升。智能体能力进步明显，AA-Briefcase v1.1 的 Elo 从 1397 升至 1521，AutomationBench-AA 得分从 62% 升至 68%。科学推理方面，Humanity's Last Exam 得分从 39% 升至 43%。每任务成本为 1.49 美元，虽高于前代，但仍低于 Mistral Large 4 Preview 和 GLM 5.3。
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 Flash. Ling 3.1 Flash 1019 uses 145k Output Tokens per Intelligence Index Task, more than 40% higher than Ling 3.1 Flash’s per task usage of 103k output tokens
➤ At $1.49 Cost per Task, Ling 3.1 Flash 1019 is more expensive than Ling 3.1 Flash but scores higher on intelligence. This is primarily driven by the higher number of output tokens used. However, Ling 3.1 Flash 1019 is still less expensive than models such as Mistral Large 4 Preview and GLM 5.3
Additional model details:
➤ Size: 560B total parameters, 25B active
➤ Context window: 1M tokens
➤ Pricing: $0.30 per 1M input tokens and $0.90 per 1M output tokens, with cached input at $0.06 per 1M (80% discount)
➤ License: MIT
➤ Availability: Ling-3.1-flash-1019 is available as an open weights model on Hugging Face, and is accessible through InclusionAI’s first party API
