DeepSeek V4 Pro Just Shocked the AI World
Get the Agent OS & DeepSeek System 👉 https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about DeepSeek V4 Pro Full Release: Claude-Level Agent Performance at 57x Lower Cost (Plus 3 Big Catches) The script explains the full release of DeepSeek V4 Pro (0813) on August 12 via the DeepSeek API and OpenRouter, claiming near-Claude Fable 5 performance on agent benchmarks at far lower cost—about 23x cheaper on input tokens, 57x on output, and roughly 276x cheaper cache-hit reads, which matters because agents repeatedly reread context. It cites DeepSeek’s own results on Terminal Bench, Automation Bench, and Humanity’s Last Exam with tools, while noting Claude still leads on software engineering and full-stack tests and that independent verification is pending. It highlights major gains from the April preview to 0813 and describes the model’s mixture-of-experts design, 1M-token context, and high output limit. It also flags three catches: no vision, a planned API price increase, and privacy terms allowing training on API inputs. The video recommends a two-model workflow (plan with an expensive model, execute with DeepSeek) and promotes the AI Profit Boardroom/Agent OS for setup and coaching. 00:00 DeepSeek V4 Pro Arrives 00:46 Quiet Launch Timeline 01:29 Benchmarks Versus Fable 03:15 Agent Economics Explained 04:25 Real World Agent Adoption 05:09 Boardroom Plug and Play 06:02 What Changed Since Preview 06:44 Training And Architecture 08:14 Three Catches To Know 09:17 Who Should Use It 09:31 Two Model Workflow Pattern 10:51 Bigger Trend And Takeaway 12:17 Join And Final Wrap
