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What is Smaug Flash?

The Smaug Flash series features three meticulously refined open-weight models created by Abacus.AI to effectively handle production agentic workloads, each positioned thoughtfully along the capability–efficiency continuum. This lineup is crafted from a blend of meticulously selected real-world agentic data and synthetic scenarios that challenge conventional limits, resulting in significant advancements in agentic programming, effective tool use in real contexts, automation capabilities, long-context reasoning, and adherence to instructions. At the forefront is the flagship model, Smaug Flash, which is based on DeepSeek V4 Flash 0731 and serves as the ideal choice for enterprise agents that demand a seamless combination of speed, efficiency, and reliable performance. Its tailored adjustments significantly reduce the risk of spins and confusion during extensive tool interactions while maintaining the rapid response characteristics of the original model. Furthermore, Smaug Mini, which is based on Qwen3.8 27B, targets multimodal applications and simpler reasoning tasks, providing a more compact solution with enhanced real-world agentic functions tailored for singular workflows. Collectively, these models effectively address a variety of operational requirements across multiple applications, underscoring the adaptability and extensive potential of the Smaug Flash family, which continues to evolve in response to user needs.

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.

Media

Media

Integrations Supported

Nemotron 3
OpenTag

Integrations Supported

Nemotron 3
OpenTag

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
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

Abacus.AI

Date Founded

2019

Company Location

United States

Company Website

abacus.ai/smaug

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

research.nvidia.com/labs/nemotron/Nemotron-3/

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