Inceptiontext->text

Inception: Mercury Coder

Mercury Coder 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 Claude 3.5 Haiku and GPT-4o Mini while matching their performance. Mercury Coder's speed means that developers can stay in the flow while coding, enjoying rapid chat-based iteration and responsive code completion suggestions. On Copilot Arena, Mercury Coder ranks 1st in speed and ties for 2nd in quality. Read more in the [blog post here](https://www.inceptionlabs.ai/blog/introducing-mercury).

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

CodingProgrammingDevelopmentChatConversationAssistant

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