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What is Mercury Coder?

Mercury, an innovative development from Inception Labs, is the first large language model designed for commercial use that harnesses diffusion technology, achieving an impressive tenfold enhancement in processing speed while simultaneously reducing costs when compared to traditional autoregressive models. Built for outstanding capabilities in reasoning, coding, and structured text generation, Mercury can process over 1000 tokens per second on NVIDIA H100 GPUs, making it one of the fastest models available today. Unlike conventional models that generate text in a sequential manner, Mercury employs a coarse-to-fine diffusion strategy to refine its outputs, which not only increases accuracy but also reduces the frequency of hallucinations. Furthermore, the introduction of Mercury Coder, a specialized coding module, allows developers to leverage cutting-edge AI-assisted code generation that is both swift and efficient. This pioneering methodology not only revolutionizes coding techniques but also establishes a new standard for what AI can achieve across diverse applications, showcasing its versatility and potential. As a result, Mercury is positioned to lead the evolution of AI technology in various fields, promising to enhance productivity and innovation significantly.

What is Mercury 2.5?

Mercury 2.5 exemplifies the ultimate achievement in production models from Inception, showcasing a significant quality improvement over its predecessor, Mercury 2, while maintaining an outstanding low-latency performance. This model is recognized as the most sophisticated diffusion language model currently on the market and is claimed by Inception to be the largest diffusion LLM ever created. With a remarkable 40% increase in intelligence compared to Mercury 2, its capabilities closely mirror those of economical frontier models such as GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5. It features an impressive generation rate of 1,107 tokens per second on widely used NVIDIA GPUs and can handle a substantial 260K-token context window. Among its many attributes are customizable reasoning abilities, concurrent tool executions, and JSON compatibility with schemas. Designed specifically for tasks sensitive to latency, it excels in environments that require multiple model calls during one interaction. In various applications, including search agents and RAG pipelines, Mercury 2.5 performs exceptionally well in activities such as planning, query rewriting, re-ranking, fact structuring, source summarization, and answer verification. This efficiency ensures swift response times, making it a vital asset for developers aiming to enhance their workflow productivity. As technology continues to evolve, models like Mercury 2.5 will likely set new benchmarks in the industry.

Media

Media

Integrations Supported

Inception Labs
JSON

Integrations Supported

Inception Labs
JSON

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Inception Labs

Date Founded

2024

Company Location

United States

Company Website

www.inceptionlabs.ai/

Company Facts

Organization Name

Inception

Company Location

United States

Company Website

www.inceptionlabs.ai/blog/introducing-mercury-2-5

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