Inception: Mercury Coder
InceptionID: 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).
Pricing per 1M Tokens
| Input (Prompt) | $0.25 |
| Output (Completion) | $0.75 |
| Cache Read | $0.02 |
| Cache Write | Free |
| Image | N/A |
Specifications
| Context Length | 128K |
| Max Output Tokens | 32K |
| Input Modalities | Text |
| Output Modalities | Text |
| Tokenizer | Other |
| Instruct Type | N/A |
| Top Provider Context | 128K |
| Top Provider Max Output | 32K |
| Moderated | No |
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Last updated: March 23, 2026
First tracked: March 23, 2026