{"version":1,"type":"story","url":"https://digestai.news/story/inclusionai-releases-ling-3-1-flash-1019-with-1m-token-window-and-560b","json":"https://digestai.news/story/inclusionai-releases-ling-3-1-flash-1019-with-1m-token-window-and-560b.json","markdown":"https://digestai.news/story/inclusionai-releases-ling-3-1-flash-1019-with-1m-token-window-and-560b.md","slug":"inclusionai-releases-ling-3-1-flash-1019-with-1m-token-window-and-560b","headline":"inclusionAI releases Ling-3.1-flash-1019 with 1M-token window and 560B parameters","summary":"inclusionAI announced Ling-3.1-flash-1019, an upgraded version of its Ling-3.1-flash model, on Reddit’s AI communities. The new model has 560 billion total parameters and 25 billion active parameters per token, with a 1 million-token context window. It shows improved reasoning and agentic capabilities, scoring 1524 Elo on AA-Briefcase (up from 1400) and 68% on AutomationBench-AA (up from 62%). Scientific benchmarks also improved: CritPt rose from 18% to 26%, and SciCode from 54% to 57%. The model now scores 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41.\n\nThe release includes post-training optimizations and support for speculative decoding (MTP) and Hopper decode optimizations. Users can deploy it via SGLang or VLLM with Docker commands provided for GPUs like H200, GB300, and others. The article also references verified recipes for deployment, tool calling, and reasoning modes. No licensing details or public training-content scope changes are mentioned beyond a linked summary.","keyPoints":["Ling-3.1-flash-1019 has 560B total parameters, 25B active per token, and a 1M-token context window","Model scores 1524 Elo on AA-Briefcase (up from 1400) and 68% on AutomationBench-AA (up from 62%)","Optimizations include speculative decoding (MTP) and Hopper decode, with Docker deployment instructions provided"],"whyItMatters":"The model’s longer context and improved reasoning could enable more complex agentic workflows for research and automation tasks, though deployment requires significant GPU resources.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["inclusionAI","Hugging Face","OpenRouter"],"models":["Ling-3.1-flash","Ling-3.1-flash-1019"],"people":[]},"firstPublishedAt":"2026-10-27T11:12:14Z","updatedAt":"2026-10-27T11:12:14Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"huggingface.co","title":"inclusionAI/Ling-3.1-flash-1019 · Hugging Face","url":"https://huggingface.co/inclusionAI/Ling-3.1-flash-1019","publishedAt":"2026-10-27T11:12:14Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[{"site":"Reddit","url":"https://www.reddit.com/r/LocalLLaMA/comments/1xgpo4q/inclusionailing31flash1019_hugging_face/","points":null}],"thread":{"title":"InclusionAI's Multilingual AI Model Journey","url":"https://digestai.news/thread/inclusionai-releases-ming-3-0-audio-flash-a-multilingual-audio-language-model","storyCount":3},"cite":{"text":"Digest AI, \"inclusionAI releases Ling-3.1-flash-1019 with 1M-token window and 560B parameters\", 27 October 2026, https://digestai.news/story/inclusionai-releases-ling-3-1-flash-1019-with-1m-token-window-and-560b","publisher":"Digest AI","title":"inclusionAI releases Ling-3.1-flash-1019 with 1M-token window and 560B parameters","datePublished":"2026-10-27T11:12:14Z","url":"https://digestai.news/story/inclusionai-releases-ling-3-1-flash-1019-with-1m-token-window-and-560b"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}