Blog
Explore the latest research results and technical insights from Ant Ling Foundation Model
2026.4.23
Model Release
Ling-2.6-flash Release: Faster Response, Stronger Execution, Higher Token Efficiency
Ant Ling has officially launched Ling-2.6-flash—a instruction model with a total parameter count of 10.4 billion and 7.4 billion activated parameters. Faced with ever-increasing token demands, Ling-2.6-flash has chosen a different technical path: rather than simply relying on longer outputs to achieve higher scores, it adopts a systematic optimization approach centered on inference efficiency, token efficiency, and agent scenario performance. While maintaining a competitive level of intelligence, this model strives to be faster, more resource-efficient, and better suited to real-world business scenarios.
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2026.4.1
landscape
Taking the Pulse of Agentic AI from the Developer Community at the End of Q1 2026
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2026.3.4
Release
Ming-Omni-TTS: Simple and Efficient Unified Generation of Speech, Music, and Sound with Precise Control
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2025.10.28
Release
Ming-flash-omni-Preview: A Sparse, Unified Architecture for Multimodal Perception and Generation
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2025.10.1
Release
Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation
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2025.10.1
Release
Ming-UniVision: Joint Image Understanding and Generation via a Unified Continuous Tokenizer
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2025.5.5
Release
Ming-Lite-Omni-Preview: A MoE Model Designed to Perceive a Wide Range of Modalities
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