Inception released Mercury 3, a diffusion language model with a 1-million-token context that it says generates 1,068 tokens per second on Nvidia GPUs
The company says the model has about 40 times the parameters of Mercury 1, matches or beats GPT-6 Luna and Claude Haiku 5.5 on its benchmark table while running four to eight times faster, and is available through its API, OpenRouter, Baseten and Vercel at $0.20 per million input tokens and $0.70 output, half price at launch. All numbers are Inception's own; no independent evaluation has been published, and the model trails Haiku 5.5 on coding rows.
why it mattersDiffusion decoding at four-figure tokens per second is now a production option for the latency-bound steps in an agent (classification, routing, voice), so it is worth a benchmark on your own traffic before taking the quality claims on trust.