Inception推出Mercury 3，在速度上擊敗GPT-6 Luna和Claude Haiku 5.5
inception發布mercury 3，一種基於擴散的語言模型，每秒生成超過1,000個token，在12項測試中擊敗gpt-6 luna和claude haiku 5.5。這對實時應用如ai代理和客戶支持至關重要。
inception has released mercury 3, a diffusion-based language model that generates over 1,068 tokens per second on nvidia gpus. in internal benchmarks, it leads gpt-6 luna and claude haiku 5.5 in eight of 12 tests, with significant leads in instruction following and autonomous coding. mercury 3 is designed for real-time apps like ai agents, smart glasses, and customer support, where speed matters. it can process up to 1 million tokens at once and uses an openai-compatible api. inception sees mercury 3 as a sign that diffusion models reliably improve as they scale.