DeepSeek Releases V4 Pro

DeepSeek officially released V4 Pro, featuring a MoE architecture with 1.6T to 1.7T total parameters and 49B active parameters. Its inference FLOPs are only 27% of V3.2. The model is open-sourced under the MIT license with API pricing about 1/31 of GPT-5.6. It scored close to GPT-5.6 in the LMArena Code Arena and is now available on Baseten.Confirmed- The model uses a MoE architecture with 1.6T-1.7T total parameters and 49B active parameters; inference cost is only 27% of V3.2.- The model is open-sourced under the MIT license and supports zero data retention (ZDR) by default.- It scored 1607 in the LMArena Code Arena WebDev AutoEval, only 15 points lower than GPT-5.6 Sol xHigh.- Baseten launched the model API on Day 0.- The model natively supports the Responses API and features advanced agent capabilities.Why it mattersThis model challenges closed-source flagships with extremely low pricing and an open-source strategy. Its performance approaches GPT-5.6, significantly reducing the inference cost of high-performance models.

2026-08-13 ~ 2026-08-14 · 5 related posts

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