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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 Ling 3.0 Flash?

Ling 3.0 Flash is an evolved language model specifically designed for long-term agent tasks, featuring rapid response capabilities, low activation levels, and reliable tool utilization. With a Mixture-of-Experts architecture, it encompasses an impressive total of 124 billion parameters, activating 5.1 billion parameters for each token, which optimizes its performance while ensuring efficient inference. The model showcases a remarkable native context window of 256K tokens, expandable to a maximum of 1 million tokens, facilitating effective information retrieval from extensive contexts. In comparison to its earlier version, the original Flash model, Ling 3.0 Flash offers superior stability for extended operations, enhances tool-calling accuracy, adheres more closely to instructions, and shows improved compatibility with agent harnesses and coding tasks. Furthermore, its advanced spatial awareness capabilities allow it to construct grids of physical scenes and assess relative positions with precision, while its hybrid reasoning abilities increase success rates across various task complexities. This model not only represents a substantial advancement in language modeling technology but also ensures users can attain exceptional performance across a wide array of applications, thus broadening its potential use cases. Overall, Ling 3.0 Flash stands out as a groundbreaking development in the field, likely to influence future applications significantly.

Media

Media

Integrations Supported

Claude Code
Hermes Agent
Kilo Code
OpenClaw
OpenRouter
ZenMux

Integrations Supported

Claude Code
Hermes Agent
Kilo Code
OpenClaw
OpenRouter
ZenMux

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

Ant Group

Date Founded

2014

Company Location

China

Company Website

www.ant-ling.com

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