Release: 2026/05/10 14:01 Reading: 0
Original author:Kris Torrington
Original source:https://www.youtube.com/embed/wFp0WWlGQwM
DeepSeek V4 just launched, and it might be one of the first open-weight models that makes expensive AI agents look overpriced. In this video, I break down why DeepSeek V4 matters, including its 1 million token context window, its full-price cost compared to GPT-5.5 and Claude Opus 4.7, and the performance benchmark DeepSeek is using to prove this is not just another cheap model. DeepSeek V4-Pro reportedly costs around $5.22 for a 1 million input token plus 1 million output token workload, compared to around $35 for GPT-5.5 and around $30 for Claude Opus 4.7. DeepSeek also reports a 93.5 score on LiveCodeBench, which is a strong signal that this model is aimed at developer workflows, coding agents, and long-context AI tasks. The big question is simple: if open-weight models are getting this cheap and this capable, how much longer can premium AI tools keep charging premium prices? Timestamps 00:00 DeepSeek V4 just launched 00:34 The 1 million token context window 00:48 The price comparison 01:05 DeepSeek V4 performance benchmark 01:50 Why DeepSeek V4 matters 02:08 Final thoughts
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