Benchmarks: AntLing-3.0-flash a hybrid-reasoning MoE model built for production-scale agents.

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Summary

AntLing-3.0-flash is a hybrid-reasoning mixture-of-experts model designed for production-scale agent applications, as shown by benchmarks.

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ling 3.0 flash/tiny base models

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InclusionAI has open-sourced the Ling-3.0 series, featuring highly efficient language models with sparse MoE architecture and hybrid linear attention, providing checkpoints at various training stages to support research and innovation.

inclusionAI/Ling-3.0-flash · Hugging Face

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inclusionAI released Ling-3.0-flash, a native hybrid reasoning model with 124B total/5.1B active parameters using a hybrid linear attention architecture (KDA+MLA) and sparse MoE. It matches or outperforms its 1T-class predecessor Ring-2.6-1T while being far more compute-efficient, with built-in agentic and long-context optimizations.