inclusionAI (Ant Group) · Hybrid Linear MoE

Ling-3.1-flash

An open model from Ant Group's inclusionAI, uploaded 13 October, with 560B total and 25B active parameters and a 1M-token context. The architecture is hybrid-linear: 63 KDA layers to 9 gated MLA layers, 512 routed experts with 8 active, and switchable thinking. inclusionAI points to results on Terminal-Bench 4.0, SWE-bench Pro, FrontierSWE, GDPVal-AA v2.1 and MCP-Atlas, shown only as images on the model card, and to its use inside Claude Code, Kilo Code and OpenClaw. Day-zero SGLang support with MTP speculative decoding runs on 8 H200s or 4 GB300s, plus vLLM and OpenRouter. MIT licence.