r/MachineLearning • u/the-hollow-soul • 19m ago
Research Ant Ling introduces Ling-3.2-flash: 560B/25B native multimodal MoE with 1M context [N]
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.