Mercury 3
10 +
Percs
Multilingual
Large context
About
Inception's Mercury 3: diffusion-based language model built for low-latency agentic workflows, 1M-token context. Served via OpenRouter.
Settings
Response length- The maximum number of tokens to generate in the output.
Temperature- The temperature of the model. Higher values make the model more creative and lower values make it more focused.
Diversity control- Top_p. Filters AI responses based on probability.
Lower values = top few likely responses,
Higher values = larger pool of options.
Lower values = top few likely responses,
Higher values = larger pool of options.
Context length- The maximum number of tokens to use as input for a model.