Ling 2.6 Flash

Ling 2.6 Flash

Ant Group
Qwen2

Qwen2

Alibaba
+
+

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About

Ling 2.6 Flash is the latest cost-effective model in the Ling series, built on a Mixture of Experts architecture with 104B total parameters and 7.4B activated parameters. It is designed to achieve an optimal balance between inference performance and compute cost, making it suitable for general-purpose scenarios where strong reasoning capability, high throughput, and efficient deployment matter. Ling’s MoE architecture routes each token to activate only the most relevant expert subnetworks, compressing actual computation to a minimal fraction while maintaining large-scale model capacity. Ling 2.6 Flash provides a native 256K context window and can process approximately 200,000 characters of long-form input, with reliable long-range information retrieval whether key information appears at the beginning, middle, or end of the context. Its aggregate benchmark performance is comparable to or exceeds 40B-class Dense models.

About

Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

High-traffic AI product teams that need a fast, efficient long-context model for customer service, translation, content workflows, and recommendation intelligence

Audience

AI developers interested in a powerful LLM

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$0.00037 per 1M tokens
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Ant Group
Founded: 2014
China
developer.ant-ling.com/en/docs/models/ling/

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen2

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Categories

Categories

Integrations

C
C#
Clojure
F#
HTML
Horay.ai
JavaScript
MindMac
ModelScope
Molmo
OpenRouter
PHP
Python
R
Rust
SQL
Scala
TypeScript
Visual Basic
ZenMux

Integrations

C
C#
Clojure
F#
HTML
Horay.ai
JavaScript
MindMac
ModelScope
Molmo
OpenRouter
PHP
Python
R
Rust
SQL
Scala
TypeScript
Visual Basic
ZenMux
Claim Ling 2.6 Flash and update features and information
Claim Ling 2.6 Flash and update features and information
Claim Qwen2 and update features and information
Claim Qwen2 and update features and information