Mercury 2.5 makes diffusion models fast enough for live products
The new diffusion LLM claims a 40% intelligence gain over Mercury 2 while sustaining 1,107 tokens per second on broadly available NVIDIA GPUs, with a 260K context window and $0.20 per million input tokens. The practical proof is latency: OpenCall says its P99 response time fell from several minutes to one second, making Mercury especially relevant for search agents, voice systems, and the many small calls inside coding agents.