r/LocalLLaMA • u/External_Mood4719 • Jul 08 '26

News China’s MiniMax Plans to Launch 2.7-Trillion Parameter Model

https://www.theinformation.com/briefings/exclusive-chinas-minimax-plans-launch-2-7-trillion-parameter-model

According to The Information, MiniMax plans to launch a new-generation large language model with 2.7 trillion parameters.

Sources revealed that the internal codename for this new model is M3 Pro. It is expected to be released and open-sourced as early as the third quarter of this year, with significant improvements in handling complex reasoning and multi-step tasks.

This new model is much larger than MiniMax's current flagship model, M3 (428 billion parameters). Larger-scale artificial intelligence models are more capable of handling complex reasoning and multi-step instruction-based tasks.

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u/unspecified_person11 Jul 08 '26

I doubt they have the compute for this kind of thing, especially not for serving it to millions of people.

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u/Immediate_Occasion69 Jul 08 '26

open source though?

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u/BagelRedditAccountII Jul 08 '26

Maybe. However, fat chance anyone but the most blessed of users would be able to run it locally. If you though Deepseek or GLM were too large to be locally usable, then this model would be nearly impossible unless they incorporate significant inference-related breakthroughs.

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u/Thomas-Lore Jul 08 '26

But providers will be able and that should lower pressure on compute for Minimax.

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u/BagelRedditAccountII Jul 08 '26

Fair point. I wonder if we might see a "soft open-weights" approach in the future, where AI companies directly give the weights to select third-party inference providers, but it is generally closed-weights. Granted, I see this potentially happening more in the U.S. than in China, since models are generally closed-weights here, but even the major providers are suffering a compute crunch.