Mercury 2 dLLM: Reasoning at 1000 Tokens Per Second

Mercury 2: Reasoning at 1000 Tokens Per Second

Almost every production LLM you have ever called shares one habit: it writes left to right, one token at a time. That sequential decoding is the quiet tax on every agent loop, every retrieval pipeline, every voice turn. Inception's Mercury 2 breaks that habit. It is the first reasoning diffusion LLM (a dLLM), and instead of decoding one token after another it refines many tokens in parallel, converging on the answer in a handful of denoising steps.