What this page answers
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...
- Inception · inception/mercury-coder
- text->text · global model route
- 128,000 context · $0.25 input
Before connecting
Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.
- supports max_tokens
- supports response_format
- supports stop
- supports structured_outputs
- supports temperature
Next action
The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.
- Check whether the model fits the use case
- Then verify key permission and callable models
