Deepseek V4 Flash (0731 - Fully Tested): TOP 5 in my TESTS! This is AN ACTUAL COMEBACK!!!

In this video, I'll be telling you about the new DeepSeek V4 Flash 0731 update, its official API public beta release, the huge agentic coding upgrades, and how it performs on my KingBench compared to models like Fable 5, Opus 5, GLM-5.2, Qwen 3.8 Max, and Kimi K3. -- Key Takeaways: 🚀 DeepSeek V4 Flash 0731 is now live in public beta through the official API. 🧠 The model keeps the same 284B parameter architecture but gets a massive agentic post-training upgrade. 📈 Official benchmarks show huge jumps on Terminal Bench, DeepSWE, Cybergym, Toolathlon, and DSBench. 🔗 V4 Flash now supports the Responses API format and is fully adapted for Codex-style workflows. 🧪 On KingBench, DeepSeek V4 Flash 0731 scored 58 out of 80, or 72.5 percent. 🏆 It set a new all-time record on the hardest 3D wrist watch task, beating Fable 5 and Opus 5. 💻 The model performed especially well on reasoning, math, long-horizon coding, and agentic tasks. 🎨 Its weaker areas are still visual polish, SVG quality, and some animation-heavy frontend tasks. 💸 Overall, DeepSeek V4 Flash 0731 looks like one of the best-value models for agentic coding right now. 🔥 DeepSeek V4 Pro is still coming soon, and if it gets the same post-training, it could be a major release.