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Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like GPT-4.1 Nano and Claude 3.5 Haiku while matching their performance. Mercury's speed enables developers to provide responsive user experiences, including with voice agents, search interfaces, and chatbots. Read more in the blog post here.

Input:$0.25 / 1M tokens
Output:$1 / 1M tokens
Context:128K tokens
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6 available
frequency_penalty
-202
max_tokens
presence_penalty
-201.999
stop
temperature
012
top_p
011
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