Inception: Mercury Coder: Pricing, Context Window & Benchmarks
by Inception
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).
What you can do with Inception: Mercury Coder
Everyday Q&A and clear explanations
Writing help (emails, posts, summaries)
Idea generation and brainstorming
Learning support with step-by-step guidance
Benchmarks not available
This model isn't listed on Artificial Analysis yet. Showing OpenRouter specs below.
| Metric | Value |
|---|---|
| Provider | Inception |
| Context Window | 128,000 tokens |
| Input Price | $0.25/1M tokens |
| Output Price | $1.00/1M tokens |
| Release Date | Apr 30, 2025 |
| Modalities | text |
| Capabilities | Function Calling, Structured Outputs, JSON Mode |
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Frequently asked questions
What is Inception: Mercury Coder good for?
Use Inception: Mercury Coder for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.
How much does Inception: Mercury Coder cost?
Pricing is based on usage. Current rates are $0.25/1M tokens for input and $1.00/1M tokens for output.
Can I try Inception: Mercury Coder for free?
Yes. You can start a chat instantly and test the model before deciding on a plan.
Does Inception: Mercury Coder support images or audio?
Inception: Mercury Coder focuses on text-based tasks.
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Pricing, context, and capability data are sourced from OpenRouter.
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