Xiuyu Li(@sheriyuo):Nice results across diverse tasks with Ling-3.0-Flash 👀 It's a great example of how compact execution models can still be highly capable when given a focused role within a larger agent system. The hybrid reasoning design is also interesting: spending compute only when needed while keeping the default execution path lightweight feels like a practical direction for production agents. Hope to see more Chinese open-source models continue pushing in this direction, optimizing for both efficiency and real-world agent workflows.

2026.07.24 05:05

Nice results across diverse tasks with Ling-3.0-Flash 👀 It's a great example of how compact execution models can still be highly capable when given a focused role within a larger agent system. The hybrid reasoning design is also interesting: spending compute only when needed while keeping the default execution path lightweight feels like a practical direction for production agents. Hope to see more Chinese open-source models continue pushing in this direction, optimizing for both efficiency and real-world agent workflows.

Ant Ling@AntLingAGI

2026.07.23 17:55

Today, we’re releasing Ling-3.0-flash—a hybrid-reasoning MoE model built for production-scale agents. 124B parameters. Just 5.1B active per token. With 1/8 of the total and 1/12 of the active parameters, it matches or beats our 1T flagship model on most benchmarks shown.