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Description
The Nemotron 3 Nano stands out as the tiniest model within NVIDIA's Nemotron 3 lineup, specifically designed for agentic AI tasks that require robust reasoning and conversational skills while maintaining cost-effective inference. This hybrid Mamba-Transformer Mixture-of-Experts model boasts 3.2 billion active parameters, 3.6 billion when including embeddings, and a total of 31.6 billion parameters. NVIDIA asserts that this model offers greater accuracy compared to its predecessor, the Nemotron 2 Nano, all while utilizing less than half of the parameters during each forward pass, thus enhancing efficiency without compromising on performance. It is also claimed to surpass the accuracy of both GPT-OSS-20B and Qwen3-30B-A3B-Thinking-2507 across various widely-used benchmarks. With an 8K input and 16K output setting utilizing a single H200, the model achieves an inference throughput that is 3.3 times greater than that of Qwen3-30B-A3B and 2.2 times that of GPT-OSS-20B. Additionally, the Nemotron 3 Nano is capable of handling context lengths of up to 1 million tokens, further establishing its superiority over GPT-OSS-20B and Qwen3-30B-A3B-Instruct-2507. This remarkable combination of features positions it as a leading choice for advanced AI applications that demand both precision and efficiency.
Description
Qwen3-Max-Thinking represents Alibaba's newest flagship model in the realm of large language models, extending the capabilities of the Qwen3-Max series while emphasizing enhanced reasoning and analytical performance. This model builds on one of the most substantial parameter sets within the Qwen ecosystem and integrates sophisticated reinforcement learning alongside adaptive tool functionalities, allowing it to utilize search, memory, and code interpretation dynamically during the inference process, thus effectively tackling complex multi-stage challenges with improved precision and contextual understanding compared to traditional generative models. It features an innovative Thinking Mode that provides a clear, step-by-step display of its reasoning processes prior to producing final results, which enhances both transparency and the traceability of its logical conclusions. Furthermore, Qwen3-Max-Thinking can be adjusted with customizable "thinking budgets," allowing users to find an optimal balance between the quality of performance and the associated computational costs, making it an efficient tool for various applications. The incorporation of these features marks a significant advancement in the way language models can assist in complex reasoning tasks.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
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
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
nvidia.com
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai/blog