English(EN) Ling-3.1-flash: ~560B total params, ~25B active/token, up to 1M-token context- Free trail for 2 weeks then open source

Ling-3.1-flash LLM 首次亮相，拥有 1M 上下文和开源未来

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-30 17:36

Ling-3.1-flash 大型语言模型已发布，拥有约 5600 亿总参数和每个 token 约 250 亿活跃参数。它支持高达 100 万 token 的上下文窗口。该模型将提供为期两周的免费试用，之后将转为开源发布。 AI

影响此次发布提供了大型上下文窗口和显著的参数数量，可能影响用于复杂任务的模型开发。

排序理由实验室发布新模型，即使不是明确的一线模型。[lever_c_从 frontier_release 降级：ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 实验室发布新模型，即使不是明确的一线模型。[lever_c_从 frontier_release 降级：ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 14 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

r/LocalLLaMA TIER_1 English(EN) · /u/Muhlwa_Sholanke · 2026-09-30 17:36

Ling-3.1-flash：总参数约5600亿，活跃/token参数约250亿，上下文长度高达100万token - 免费试用2周，之后开源

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wubcbb/ling31flash_560b_total_params_25b_activetoken_up/"> <img alt="Ling-3.1-flash: ~560B total params, ~25B active/token, up to 1M-token context- Free trail for 2 weeks then open source" src="https://previe…