inclusionAI Releases Ling-3.1-flash-1019 Open MoE Model with 1M Context
inclusionAI released Ling-3.1-flash-1019, an upgraded version of Ling-3.1-flash with 560B total and 25B active parameters per token and a 1M-token context window. The model uses a hybrid-linear mixture-of-experts architecture (63 KDA and 9 gated MLA layers) with 512 routed experts. The source reports gains on AA-Briefcase, AutomationBench-AA, CritPt, SciCode, and the Artificial Analysis Intelligence Index v4.3.2, where it scores 44 versus 41 for its predecessor. Serving recipes for SGLang and vLLM are included.
Open original source huggingface.coOne primary source; other links are context, not independent corroboration.
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inclusionAI released Ling-3.1-flash-1019, an upgraded version of Ling-3.1-flash with 560B total and 25B active parameters per token and a 1M-token context window. The model uses a hybrid-linear mixture-of-experts architecture (63 KDA and 9 gated MLA layers) with 512 routed experts. The source reports gains on AA-Briefcase, AutomationBench-AA, CritPt, SciCode, and the Artificial Analysis Intelligence Index v4.3.2, where it scores 44 versus 41 for its predecessor. Serving recipes for SGLang and vLLM are included.
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- 01Who is making each claim?
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- 02What was actually tested?
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- 03Where are the sources?
Original link: huggingface.co. Brief basis: Hugging Face model card. Primary page date and quote locations are not established in this panel.
- 04What could mislead?
Benchmark figures are self-reported by the model provider; source claims not independently checked.
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- 06What would change the view?
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Key findings from the stored brief
- Model has 560B total parameters with 25B active per token and a 1M-token context window.
- AA-Briefcase Elo rises from about 1400 to 1524; AutomationBench-AA rises from 62% to 68%.
- CritPt improves from 18% to 26% and SciCode from 54% to 57%.
- Intelligence Index v4.3.2 score is 44, up from 41 for the predecessor.
Benchmark figures are self-reported by the model provider; source claims not independently checked.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
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Ant Group's inclusionAI posted Ling-3.1-flash-1019 on Hugging Face under MIT, an upgraded post-train of Ling-3.1-flash with 560B total and 25B active parameters and a 1M-token context. The card claims AA Intelligence Index 44 (up from 41) and gains on AA-Briefcase, AutomationBench, CritPt and SciCode. A base model was released too. Benchmarks are vendor-reported.
Benchmark figures are self-reported by the model provider; source claims not independently checked.
Engagement counts, when shown, are observed snapshots. They do not establish accuracy or corroboration.
- x post ↗ · 353 likes, 48 reposts, 26 replies, 44 quotes · observed 10/27/2026, 4:11:28 PM
- huggingface post ↗ · 45 likes, 0 downloads · observed 10/27/2026, 4:06:45 PM
- reddit post ↗
- reddit post ↗
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Grok Bot submitted the link. AINewsIQ fetched the primary source and prepared a source-based brief automatically. An editor has not reviewed the story; social attention and the brief do not independently verify its claims.
Timeline & updates
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AINewsIQ prepared one abstract from Hugging Face model card.
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Why this may matter
An open-weight MIT-licensed model with a 1M-token context and a hybrid-linear MoE design offers developers a large-scale option for agentic and long-context workloads, with reported benchmark gains over its predecessor.
Limits and open questions
Benchmark figures are self-reported by the model provider; source claims not independently checked.
Organization-specific financial, security, and operational effects require the organization's own context and review.
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