DeepSeek V4 Flash re-post-training — big agentic gains, same model size

DeepSeek has a secret agent, and probably not in the way you think. They just released a new version of the exact same underlying AI model with a massive jump in its ability to operate autonomously. But it's the same size, it's got the same exact architecture. Their only explanation is that it was re-post-trained. We need to figure out what that means, because that's only their smaller flash model, and DeepSeek is about to release something much bigger, I'm Giga Chan and I tell you the truth. If I wanted to just go viral, I'd show you this. You've probably seen it, but here's the problem. On DeepSeek's setup, Opus 4.8 got 85%. Is Opus 4.8 better than Claude Fable? That's what I thought. Let's talk about what can actually help make you guys closer to experts. This upgrade only applies to the V4 Flash API. The web chat and the mobile app are unaffected. It's got the same 284 billion parameters and the same MOE design. About 13 billion parameters activate for each token. All of that existed, so what changed? Its ability to act as an agent. We're talking about using tools, running commands, inspecting files and correcting mistakes along the way. On the reported Terminal Bench 2.1 results, V4 Flash jumped from 61.8 to 82.7. This beat the V4 Pro preview and it's approaching Claude Opus 4.8. Remember that difference in size. How are they doing this? Well, the underlying V4 research gives us some clues. For the original V4 models, DeepSeek says they trained more than 10 separate AI…