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Activating only 5.1 billion parameters, Ant’s new model’s 11-test suite surpasses the trillion-level flagship

2026-07-24 13:22:02

ME News message, July 24 (UTC+8). According to Beating monitoring, Inclusion AI (Ant Bailing) has released Ling-3.0-flash. The model has 124 billion parameters in total, but only 5.1 billion activated parameters. Based on the comparison officially released, in 12 benchmarks it exceeds Ling-2.6-1T in 11 of them, with activated parameters of only about one twelfth of this trillion-level flagship. Architecturally, it combines Kimi Delta Attention and MLA attention layers in a 5:1 ratio to strengthen long-text memory. The model natively supports a 256K context and can scale up to 1 million. Ling-3.0-flash is already live on the Ant Bailing API and OpenRouter, and supports two modes: thinking and non-thinking. Currently, the model weights have not been opened, and the performance comparisons mainly come from Ant Bailing’s official tests; third-party evaluations are still needed for verification. (Source: BlockBeats)

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