Mercury Coder is Inception Labs' first commercially available diffusion large language model (dLLM), optimized for code generation. This model uses diffusion model technology, employing a 'coarse-to-fine' generation method to significantly improve generation speed and quality. It's 5-10 times faster than traditional autoregressive language models, achieving generation speeds exceeding 1000 tokens per second on NVIDIA H100 hardware while maintaining high-quality code generation. This technology addresses the bottlenecks of current autoregressive language models in generation speed and inference cost. Mercury Coder overcomes these limitations through algorithmic optimization, providing a more efficient and cost-effective solution for enterprise applications.