蚂蚁 Ling 3.1 Flash 1019 开源发布，智能指数升至 44
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
蚂蚁集团 AntLingAGI 发布 Ling 3.1 Flash 1019，这是 Ling 3.1 Flash 的更新版本，在 Artificial Analysis Intelligence Index v4.3 上得分 44，高于前代的 41。该模型为 560B 总参数、25B 激活参数的推理模型，支持 1M token 上下文窗口，采用 MIT 许可，已在 Hugging Face 以开放权重形式提供，并可通过 InclusionAI 的第一方 API 访问。智能体能力方面，AA-Briefcase v1.1 的 Elo 从 1397 升至 1521，GDPval-AA v2.1 从 1617 升至 1653，AutomationBench-AA 从 62% 升至 68%；Humanity's Last Exam 从 39% 升至 43%，CritPt 从 18% 升至 26%。每个任务输出 token 增至 145k，高于前代的 103k，单任务成本 1.49 美元，定价为每 1M 输入 token 0.30 美元、每 1M 输出 token 0.90 美元。
正文
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