Ant Ling has released Ling-3.2-flash, a native multimodal MoE with 560B total parameters, 25B activated parameters and a maximum 1M-token context window. The official documentation specifies text, image and video inputs.

The release evaluation reports:

MathVision(w/CI): 96.80

Humanity's Last Exam-MM: 30.12

ZEROBench / ZEROBench(Sub): 18.00 /

43.71

BabyVision: 69.85

OmniDocBench 1.5: 92.21

CharXiv_RQ: 85.15

GDP.pdf: 22.25

MedXpertQA-MM: 79.93

Vision2Web: 85.86

AndroidWorld: 85.63

BlenderBench: 67.77

AntBench-Medical is reported separately as 89.52% comprehensiveness and 99.22% correctness. HLE-MM uses the multimodal subset; full ZEROBench and its Sub result are separate entries. The chart identifies API-collected comparison results under the official evaluation settings.

The release materials also demonstrate PDF-to-code implementation, GUI operation, 3D reconstruction workflows and multi-agent collaboration. Both OpenAl-compatible and Anthropic-compatible API access are documented.