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DeepSeek is a Chinese AI research company known for releasing capable large language models at unusually low training and inference cost. It grew out of a quantitative trading firm and publishes detailed technical reports alongside its releases, most of which use mixture-of-experts architectures that activate only a fraction of total parameters for each token. Its V-series general models and R-series reasoning models are distributed with open weights, and its hosted API pricing has repeatedly undercut American frontier labs by a wide margin. The company drew global attention when its reasoning model matched far more expensive Western systems on math and coding benchmarks, prompting debate about export controls, training efficiency and how durable the compute advantage of well-funded labs really is. For readers it is the clearest test of whether frontier capability can be commoditized. Our coverage has followed the general availability of DeepSeek V4 Pro and its pricing against frontier competitors.
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