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What is Nemotron 3 Ultra?
The Nemotron 3 Nano, a compact yet robust language model from NVIDIA's Nemotron 3 lineup, is specifically designed to excel in agentic reasoning, engaging dialogue, and programming tasks. Its cutting-edge Mixture-of-Experts Mamba-Transformer architecture selectively activates a specific subset of parameters for each token, allowing for quick inference times while maintaining high accuracy and reasoning skills. With an impressive total of around 31.6 billion parameters, including about 3.2 billion active ones (or 3.6 billion when including embeddings), this model outperforms its predecessor, the Nemotron 2 Nano, while demanding less computational power for every forward pass. It boasts the capability to handle long-context processing of up to one million tokens, enabling it to efficiently analyze lengthy documents, navigate complex workflows, and carry out detailed reasoning tasks in one go. Additionally, it is designed for high-throughput, real-time performance, making it particularly skilled in managing multi-turn dialogues, executing tool invocations, and handling agent-driven workflows that require sophisticated planning and reasoning. This adaptability renders the Nemotron 3 Nano a top-tier option for a wide range of applications that necessitate advanced cognitive functions and seamless interaction. Its ability to integrate these features sets a new standard in the landscape of language models.
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.
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
NVIDIA
Date Founded
1993
Company Location
United States
Company Website
research.nvidia.com/labs/nemotron/Nemotron-3/
Company Facts
Organization Name
Inception
Company Location
United States
Company Website
www.inceptionlabs.ai/models
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
AI Reasoning Models
Not specified
Foundation Models
Not specified
Large Language Models
Not specified
Open-Weight AI Models
Not specified