Ant Ling open-sources Ling-3.1-flash-1019: further post-trained 560B/25B-active MoE lifts AA Intelligence Index from 41 to 44, base checkpoint also released
On Oct 27 Ant Ling (inclusionAI) open-sourced Ling-3.1-flash-1019, a further post-trained upgrade of the early-October Ling-3.1-flash: 560B total parameters, 25B active per token, a 1M-token context and an MIT license. Ant says it scores 44 on the Artificial Analysis Intelligence Index v4.3.2 (up from 41), with clear gains on agent tasks such as AA-Briefcase and AutomationBench-AA. It also released Ling-3.1-flash-base, an open foundation checkpoint for further training.
Key Takeaways
- Scale: 560B total and 25B active parameters, 1M-token context, MIT license, on Hugging Face and ModelScope
- Artificial Analysis Intelligence Index v4.3.2: 44, up from 41 for Ling-3.1-flash (vendor-reported)
- AA-Briefcase rises from about 1400 to 1524 Elo and AutomationBench-AA from 62% to 68% (vendor-reported)
- Science: CritPt from 18% to 26% and SciCode from 54% to 57% (vendor-reported)
- Architecture: hybrid-linear MoE with 63 KDA layers plus 9 gated MLA layers (7:1), 512 routed experts and 8 active per token
Linked Models & Agents:
⚡ Ling-3.1-flash-1019⚡ Ling-3.1-flash-base⚡ Ling-3.1-flash🌐 Ant Group🌐 inclusionAI🌐 Artificial Analysis🌐 Hugging Face🌐 ModelScope🌐 SGLang🌐 vLLM
