Inceptiontext->text

Inception: Mercury

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] (https://www.inceptionlabs.ai/blog/introducing-mercury) here.

Context Window

128K

Input Price

$0.2500/M tokens

Output Price

$1.00/M tokens

Modality

text->text

Pricing Breakdown

Cost per million tokens for input and output

Input$0.2500/M tokens

Output$1.00/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.003500

Context Window Size

Maximum tokens the model can process in a single request

Context Window128K tokens

13% of 1M max

~96K

Words Equivalent

~64

Pages of Text

~1280

Code Functions

Best Use Cases

What this model excels at

ChatConversationAssistant

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