Inception drops Mercury 3, a diffusion LLM hitting 1,000+ tokens per second
Inception just launched Mercury 3, a diffusion-based language model that cranks out over 1,068 tokens per second while matching or beating GPT-6 Luna and Claude Haiku 5.5. It scales up context to 1M tokens at a fraction of standard API costs. Why it matters: It proves diffusion scaling laws hold for text, giving latency-critical browser agents and voice assistants the real-time reflexes they've been missing.