ME News reports that on July 24 (UTC+8), according to monitoring by Beating, Inclusion AI has released Ling-3.0-flash. The model contains 124 billion parameters, with only 5.1 billion activated. According to official comparisons, it outperforms Ling-2.6-1T in 11 out of 12 benchmarks, using just about one-twelfth of the activated parameters of this trillion-parameter flagship model. Architecturally, it combines Kimi Delta Attention and MLA attention layers in a 5:1 ratio to enhance long-context memory. The model natively supports a 256K context length and can be scaled up to 1 million tokens. Ling-3.0-flash is now available via the Inclusion AI API and OpenRouter, supporting both thinking and non-thinking modes. The model weights have not yet been open-sourced, and performance comparisons are primarily based on Inclusion AI’s internal tests, requiring independent third-party evaluations for validation. (Source: BlockBeats)
Ant Group's new model activates 5.1 billion parameters and outperforms its 1-trillion-parameter flagship in 11 tests.
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Summary
Ant Group's Inclusion AI launched Ling-3.0-flash on July 24, a 124B-parameter model with only 5.1B activated parameters. It outperformed the 1T Ling-2.6 on 11 out of 12 benchmarks, using one-twelfth the number of active parameters. The model supports a 256K context length and scales up to 1 million tokens. Available via API and OpenRouter, it offers both thinking and non-thinking modes. The model weights remain proprietary, and results are based on internal testing. As altcoins to watch gain traction, the Fear & Greed Index remains a key metric for traders.
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