Ant Group’s inclusionAI launches 560B Ling-3.2-flash multimodal MoE model with 1M context window

Ant Group’s inclusionAI (operating the Ant Ling LLM Platform under Ant Intelligence Technology) launched Ling-3.2-flash on 5 November 2026 as the newest native multimodal Mixture-of-Experts (MoE) model in its Ling series. Following the text-focused Ling-3.1-flash release in late October, Ling-3.2-flash scales to 560 billion total parameters with 25 billion parameters activated per token across a 1-million-token context window.

Unlike pipeline setups that bolt an external captioner onto a language backbone, Ling-3.2-flash natively ingests interleaved text, images and video streams for cross-modal reasoning and long-range retrieval across the full 1M context window. Ant Ling targets four primary domains with the release: complex visual understanding, multimodal long-horizon agent execution (using a closed-loop Observe, Act, Verify and Correct visual feedback cycle), 3D spatial understanding and interaction, and medical multimodal analysis.

Ling-3.2-flash is available immediately through the Ant Ling web chat interface and via developer API endpoints compatible with both the OpenAI and Anthropic request protocols. Ant Ling is offering free API access for the first two weeks following launch, alongside new open-API endpoints for Ming-Image-0.1-Design (with layer decoupling) and the Ming-3.0 speech recognition, synthesis and audio-flash models. Post-trial per-token pricing and open-weight plans for Ling-3.2-flash were not specified.