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Ling 3.1 Flash open weights beat GPT-6 Luna on a LEGO prompt

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Ant Ling released Ling-3.1-flash open weights, with about 560B total parameters, about 25B active per token and up to 1M context. A Atomic Chat post says Ling 3.1 Flash, run locally, beat GPT-6 Luna on the same Three.js LEGO Eiffel Tower prompt at 2.8x lower cost.

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Ling 3.1 Flash running locally beat GPT-6 Luna at LEGO Eiffel Tower 🧱

@AntLingAGI just dropped Ling 3.1 Flash open weights and it crushed GPT-6 Luna on the same @threejs prompt for 2.8x cheaper

Run AI models locally -> http://atomic.chat

Ant Ling@AntLingAGI
Ling-3.1-flash is now open source: ~560B total parameters, ~25B active per token and up to 1M context. Built for real work, it can turn a rough brief into a page, mobile UI or interactive prototype teams can review and refine. See the demo.
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Source: atomic.chat · x.comPublished · added here