Context
128K tokens (~64 books)
Input $/1M
$0.25
Output $/1M
$0.75
Type
text
License
Proprietary
Benchmarks
0 tested
Data as of
About
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...
No benchmark data available yet.
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BenchGecko API
mercury-coder
Specifications
- Typetext
- Context128K tokens (~64 books)
- ReleasedApr 2025
- LicenseProprietary
- StatusActive
- Cost / Message~$0.001
Available On
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Frequently Asked Questions
Mercury Coder is a proprietary text AI model by inception, released in April 2025. Context window: 128K tokens.
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Key facts · as of 2026-04-14
- Mercury Coder by inception. Not enough public benchmark scores to rank yet.
- List price $0.25 input · $0.75 output per 1M tokens (as of 2026-04-14).
How to cite · data as of 2026-04-14
Mercury Coder · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-14. https://benchgecko.ai/model/mercury-coder
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP