China just dropped DeepSeek V4 this morning. And the pricing is borderline offensive to OpenAI. Two models launched. Both open source. DeepSeek V4 Pro: 1.6 trillion parameters (49B active). The big one. Built for complex reasoning, coding, and agentic workflows. DeepSeek V4 Flash: 284 billion parameters (13B active). The fast one. Almost identical performance on most tasks, fraction of the cost. Both support a 1 million token context window. That's not a typo. One million. The pricing that matters: Flash: $0.14 per million input tokens, $0.28 outputPro: $1.74 input, $3.48 output Compare that to GPT-5.5 at $5/$30 per million. Or Claude at $5/$25. DeepSeek V4 Pro costs 7x less than Claude for nearly identical performance on coding benchmarks. Flash costs even less and runs faster. Performance reality check: DeepSeek admits they're 3 to 6 months behind GPT-5.4 and Gemini 3.1 Pro on reasoning benchmarks. But on coding? They're competitive. Sometimes better. SWE-bench Verified: 80.6% (Claude is 80.8%)LiveCodeBench: 93.5% (beats Claude's 88.8%)Codeforces rating: 3206 (competitive with GPT-5.5) For anyone building tools, automating workflows, or generating code, the gap doesn't matter. The price does. Three features that hit different for wired brains: 1. Million-token context = brain dump friendly You don't have to organize your thoughts before you paste them in. Entire project folders. Messy notes. All of it. One prompt. Your brain doesn't think in neat outlines. Now your AI doesn't require them either. 2. Three reasoning modes Non-thinking: Fast responses. Good for quick iteration.Think High: Mid-level reasoning. Balanced.Think Max: Deep reasoning chains. Solves complex problems but burns more tokens. You pick based on the task. Not locked into one speed. 3. Open source under MIT license You can download it. Run it locally. Fine-tune it. Customize it for how you actually work. No black box. No rate limits. No sudden policy changes that break your workflow.