Post-training gains for agents and scientific reasoning: Ling-3.1-flash-1019 is a 560B open-weight MoE with 25B active parameters per token and support for up to 1M context.
🤖 https://modelscope.ai/models/inclusionAI/Ling-3.1-flash-1019
🛠️ Stronger real-world agents: AA-Briefcase improves from approximately 1400 to 1524 Elo, while AutomationBench-AA rises from 62% to 68% versus Ling-3.1-flash.
🧠 Broader reasoning gains: Scores 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41 for its predecessor.
🔬 Better scientific performance: CritPt increases from 18% to 26%, and SciCode from 54% to 57%.
📐 Hybrid long-context design: Combines 63 KDA layers with 9 Gated MLA layers. Reaching the full 1M context requires the appropriate long-context serving configuration.
📜 MIT License.