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Description
DiffusionGemma is an innovative open model that investigates text diffusion, representing a remarkably rapid method for generating text. Released under the Apache 2.0 license, this 26 billion parameter Mixture of Experts (MoE) model advances beyond the usual sequential token generation typical of autoregressive models. Instead, it produces entire blocks of text at once, achieving text generation speeds that are up to four times faster on GPUs. Drawing from the parameter efficiency of the Gemma 4 family and Gemini Diffusion research, DiffusionGemma incorporates a unique diffusion head that enhances generation speed significantly. It is particularly aimed at researchers and developers looking to optimize speed-sensitive, interactive local workflows, including in-line editing, swift iterations, and non-linear narrative forms. By reallocating the decode bottleneck from memory bandwidth to computational power, it can produce over 1,000 tokens per second on a single NVIDIA H100 and more than 700 tokens per second on an NVIDIA GeForce RTX 5090. This breakthrough allows for a new level of efficiency in text generation that could reshape various applications in natural language processing.
Description
Mercury 2.5 represents the pinnacle of production models from Inception, demonstrating a remarkable enhancement in quality compared to its predecessor, Mercury 2, all while upholding an impressive low-latency serving profile. It stands out as the most advanced diffusion language model currently available and is touted by Inception as the largest diffusion LLM ever developed. With a 40% boost in intelligence over Mercury 2, its performance aligns closely with that of cost-efficient frontier models like GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5. The model boasts a generation speed of 1,107 tokens per second on commonly accessible NVIDIA GPUs and accommodates a generous 260K-token context window. Among its features are adjustable reasoning capabilities, simultaneous tool calls, and JSON that aligns with schemas. Specifically engineered for latency-sensitive tasks, it is well-suited for scenarios involving numerous model calls during a single interaction. In applications such as search agents and RAG pipelines, Mercury 2.5 excels in functions like planning, query rewriting, re-ranking, fact structuring, source summarization, and answer verification, all while ensuring rapid response times, making it an essential tool for developers seeking efficiency in their workflows.
API Access
Has API
API Access
Has API
Pricing Details
Free
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Free Version
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Free Trial
Free Version
Deployment
Web-Based
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Windows
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Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
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Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/
Vendor Details
Company Name
Inception
Country
United States
Website
www.inceptionlabs.ai/blog/introducing-mercury-2-5