@AdinaYakup: Ling 3.0 flash a native hybrid-linear reasoning model from @AntLingAGI Ling series is built around: strong reasoning pe…

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AntLingAGI announces Ling 3.0 flash, a native hybrid-linear reasoning model with 124B total parameters and 5.1B active, MIT-licensed, claiming to match a 1T flagship with much less compute and faster response times.

Ling 3.0 flash a native hybrid-linear reasoning model from @AntLingAGI Ling series is built around: strong reasoning performance with minimal compute - 124B/5.1B active (MIT license) - Matches a 1T flagship with 5.1B active params - 60-80% faster response times on long inputs thanks to smart caching
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Ling 3.0 flash a native hybrid-linear reasoning model from @AntLingAGI

Ling series is built around: strong reasoning performance with minimal compute

  • 124B/5.1B active (MIT license)
  • Matches a 1T flagship with 5.1B active params
  • 60-80% faster response times on long inputs thanks to smart caching

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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.