DeepSeek v4: the most expected open-source model ever released, and the quietest landing

DeepSeek v4, an eagerly anticipated open-source model, was released quietly after months of updates and rumors, marking a shift in focus from model capabilities to infrastructure in the AI community. Unlike previous versions, v4 emphasizes engineering optimizations, significantly reducing cost-to-serve with architecture changes such as hybrid attention mechanisms, though its capability improvements remain limited. Released under the MIT license, DeepSeek v4 includes two models, Pro with 1.6 trillion parameters and Flash with 284 billion, designed for efficient deployment. Despite being the largest open-source model to date, its reception was mixed, as it faced competition from other models like Kimi K2.6. DeepSeek's work continues to influence the field, with its cost-saving innovations offering a new baseline for future open-weight models and impacting the economics of running models with large context windows.

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