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Description

Gemini 3.7 Flash represents Google's most advanced model for coding and agents, exhibiting significant enhancements in software engineering, knowledge-intensive tasks, web design, and intricate business processes. It excels in debugging and resolving issues, showcasing greater accuracy in first-pass code creation and a refined ability to generate code that is ready for production. When applied to web development, this model produces more functional designs and fully-featured applications with fewer prompts, maintaining strong adherence to design principles derived from screenshots, images, or comprehensive design systems. In fields with high knowledge requirements, such as finance, law, and biosciences, it enhances reasoning capabilities, precision, and comprehension of complex documents. Additionally, Gemini 3.7 Flash demonstrates superior performance in automating real-world workflows and executing multimodal tasks, catering to a range of applications from interactive web experiences and data storytelling to robotics and the creation of dynamically generated 3D content. Overall, its versatility makes it a powerful tool for a variety of professional domains.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenClaw
Bash
Bind AI
C#
Cheaper Inference
Dart
Gemini 3.5 Flash
Gemini 3.5 Flash-Lite
Gemini Enterprise
Google AI Overviews
Google AI Studio
Kilo Code
Lua
OpenRouter
PowerShell
SQL
Swift
Vercel AI Gateway
Wikis.ai
XML

Integrations

OpenClaw
Bash
Bind AI
C#
Cheaper Inference
Dart
Gemini 3.5 Flash
Gemini 3.5 Flash-Lite
Gemini Enterprise
Google AI Overviews
Google AI Studio
Kilo Code
Lua
OpenRouter
PowerShell
SQL
Swift
Vercel AI Gateway
Wikis.ai
XML

Pricing Details

$0.75 per 1M tokens (input)
$0.75/1M input and $3.75/1M output tokens
Free Trial
Free Version

Pricing Details

$0.00037 per 1M tokens
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

Google

Founded

1998

Country

United States

Website

google.com

Vendor Details

Company Name

Ant Group

Founded

2014

Country

China

Website

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

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