Inception launches Mercury 3 at 1,068 tokens per second
Stefano Ermon's diffusion model claims a 1-million-token context window and benchmark gains over rival models, with launch pricing half off.
By Ryan Merket · Published
Primary source: X
Why it matters
Mercury 3 tests whether diffusion can scale into general agent and business workloads while keeping its speed advantage. Its published results and partner examples are company-reported, so adoption will depend on how the model performs in developers' own tasks.
Inception launched Mercury 3 on October 19th, pitching its diffusion-based language model as a faster alternative to conventional systems that generate text one token at a time. CEO and co-founder Stefano Ermon (@StefanoErmon) says it delivers more than 1,000 tokens per second while improving on the company's earlier models.
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