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Average Ratings 0 Ratings

Total
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Description

GPT-5.5 is a next-generation AI system built for execution-heavy workflows across coding, research, business analysis, and scientific tasks. It can interpret complex instructions, break them into actionable steps, and carry them through to completion while interacting with tools and systems. The model supports creating applications, generating reports, analyzing datasets, and navigating software environments seamlessly. It also integrates with workspace agents—custom AI agents that automate recurring and multi-step processes across teams. These agents can handle tasks such as lead research, reporting, and workflow automation, either on demand or on schedules. GPT-5.5 enhances productivity by reducing manual effort and enabling continuous task execution across tools. With enterprise-grade safeguards and monitoring, it ensures secure and controlled automation. It is well-suited for organizations looking to scale operations and improve efficiency through AI-driven workflows.

Description

The Ling 2.6 Flash represents the newest and most economical addition to the Ling series, utilizing a Mixture of Experts architecture that encompasses a total of 104 billion parameters, with 7.4 billion of those being actively engaged. This model is crafted to strike an ideal balance between inference speed and computational expense, making it an excellent fit for diverse scenarios where reasoning prowess, high throughput, and effective deployment are essential. By employing its MoE structure, Ling ensures that each token activates only the most pertinent expert subnetworks, significantly reducing the actual computational load while preserving the expansive capacity of the model. Offering a native context window of 256K, Ling 2.6 Flash is capable of handling around 200,000 characters of lengthy input, adeptly retrieving critical long-range information regardless of its position in the context. Furthermore, its overall benchmark performance rivals or surpasses that of 40 billion parameter Dense models, highlighting its competitive edge in the field of AI. This blend of efficiency and performance makes Ling 2.6 Flash a noteworthy option for developers seeking advanced capabilities without excessive resource demands.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hermes Agent Yes 
OpenClaw Yes 
OpenRouter Yes 
AWS GovCloud Yes 
Brokk Yes 
CSS Yes 
ChatGPT Plus Yes 
Cheaper Inference Yes 
Factory Droid Yes 
Ghost Yes 
Kineto by JetBrains Yes 
Microsoft 365 Copilot Chat Yes 
Microsoft Foundry Models Yes 
Muse Yes 
Node.js Yes 
PHP Yes 
TranslateAI Yes 
Visual Studio Code Yes 
Wazzap AI Yes 
ZGI Yes 

Integrations

Hermes Agent Yes 
OpenClaw Yes 
OpenRouter Yes 
AWS GovCloud No 
Brokk No 
CSS No 
ChatGPT Plus No 
Cheaper Inference No 
Factory Droid No 
Ghost No 
Kineto by JetBrains No 
Microsoft 365 Copilot Chat No 
Microsoft Foundry Models No 
Muse No 
Node.js No 
PHP No 
TranslateAI No 
Visual Studio Code No 
Wazzap AI No 
ZGI No 

Pricing Details

$5 per 1M tokens (input)
$5 per 1M input tokens and $30 per 1M output tokens, with a 1M context window
Free Trial No 
Free Version No 

Pricing Details

$0.00037 per 1M tokens
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com

Vendor Details

Company Name

Ant Group

Founded

2014

Country

China

Website

developer.ant-ling.com/en/docs/models/ling/

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