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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

Ling 2.6 represents an independently developed and open-source series of large language models created by Ant Group, utilizing a Mixture of Experts (MoE) architecture to enhance inference efficiency, long context modeling, training methodologies, and collaborative reasoning for AI agents. By employing this MoE architecture, Ling effectively directs each token to engage only the most pertinent expert subnetworks, significantly reducing the computational load while preserving the extensive capabilities of the model. This series makes strides in long-sequence modeling, exemplified by Ling-2.6-1T, which accommodates a native context window of up to 1 million tokens and offers a 256K context window through its official API; additionally, Ling-2.6-flash features a native 256K context window, enabling it to handle around 200,000 characters in lengthy inputs. These models are meticulously crafted to ensure dependable retrieval of long-range information without any discernible loss of quality, regardless of whether the data is located at the start, middle, or end of the context. This innovative approach to long-context processing sets a new benchmark for efficiency and reliability in language model performance.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hermes Agent Yes 
OpenAI Yes 
OpenClaw Yes 
OpenRouter Yes 
Amazon Web Services (AWS) Yes 
ChatGPT Yes 
ChatGPT Atlas Yes 
ChatGPT Enterprise Yes 
ChatGPT Images Yes 
GPT-5.4 nano Yes 
Gemini Enterprise Agent Platform Yes 
Lovable Yes 
Microsoft Foundry Models Yes 
Microsoft SharePoint Yes 
Pioneer Yes 
SQL Yes 
SpawnHQ Yes 
Use AI Yes 
Visual Studio Code Yes 
Xcode Yes 

Integrations

Hermes Agent Yes 
OpenAI Yes 
OpenClaw Yes 
OpenRouter Yes 
Amazon Web Services (AWS) No 
ChatGPT No 
ChatGPT Atlas No 
ChatGPT Enterprise No 
ChatGPT Images No 
GPT-5.4 nano No 
Gemini Enterprise Agent Platform No 
Lovable No 
Microsoft Foundry Models No 
Microsoft SharePoint No 
Pioneer No 
SQL No 
SpawnHQ No 
Use AI No 
Visual Studio Code No 
Xcode 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

$0.0028 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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