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Xiaomi's release of the MiMo-V2.6-Pro marks a significant entry into the open weights model space, challenging established "AI Tigers" with a focus on cost-efficiency and native omnimodal capabilities. The model achieves a notable position on the Intelligence vs. Cost Pareto frontier, offering high throughput training configurations that include large batch sizes and extended context lengths. This development highlights a shifting landscape in Chinese AI research where consumer hardware manufacturers are increasingly leveraging their infrastructure to compete directly with specialized AI labs.
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[AINews] Xiaomi MiMo-V2.6-Pro 1T-A42B: the new top Open Weights model, trained for $3M

Latent Space22 min read

crowning a new Chinese frontier lab

Meet Xiaomi and other top Chinese frontier labs at AIE Shanghai! This is a first for the “Apple of China” phone maker-turned-frontier lab: “The MiMo-V2.6 series includes two natively omnimodal models: MiMo-V2.6-Pro is our most capable model to date, while MiMo-V2.6-Flash strikes the best balance between intelligence, efficiency, and cost. We are also rolling-out MiMo-V2.6-Pro-UltraSpeed, delivering up to 20x faster output speed at the same quality, for users who require extreme generation speed.” MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier @Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major … 97 Replies · 197 Reposts · 2.21K Likes Xiaomi is not traditionally considered one of the six Chinese AI Tigers, so it is very surprising to the established order of names you have come to know and love. And… it is natively omnimodal! Xiaomi made news a few days ago when Fuli Luo, a former DeepSeek star engineer now at Xiaomi, started publishing their final RL training runs live, which showed an abnormal amount of transparency in their internal metrics. Larger batches and…

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