LingQ Reviews & Ratings

LingQ

2.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 2 out of 5 stars
ease 3 out of 5 stars
features 3 out of 5 stars
design 2 out of 5 stars
support 1 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is LingQ?

Discover a rapid, enjoyable, and effective approach to learning new languages by immersing yourself in engaging content that genuinely interests you. Just as individuals intuitively pick up their native tongue, you can apply the same concept to becoming proficient in a second language. Start with material that is relevant and meaningful to you, beginning at a level that feels comfortable and gradually challenging yourself as you progress. Explore our rich online and mobile collection of language courses, allowing you the flexibility to choose the resources that inspire you most. In addition to our diverse offerings, you can also import any content you prefer into LingQ, transforming it into an interactive and dynamic learning opportunity in no time. Are you eager to enjoy popular YouTube videos in the language you're learning, or perhaps dive into the latest bestselling novel? The decision is entirely yours! From articles to songs, podcasts, and even personal emails, you have the liberty to shape your language learning experience. Customize your journey according to your passions and witness your skills flourish as you engage with materials that resonate with you. Embrace the limitless possibilities of language acquisition, and let your enthusiasm lead the way in your studies, fostering deeper connections with the language.

What is Ling 2.6 Flash?

The Ling 2.6 Flash is the latest and most cost-effective member of the Ling series, featuring a Mixture of Experts architecture that boasts 104 billion parameters, with 7.4 billion of these actively utilized. Designed to achieve an optimal balance between inference speed and resource costs, this model excels in various applications that require robust reasoning, high throughput, and efficient deployment. Its MoE framework allows the model to engage only the most relevant expert subnetworks for each token, thereby significantly lowering the computational burden while still leveraging the model's extensive capacity. With a native context window of 256K, Ling 2.6 Flash can process approximately 200,000 characters of lengthy input, effectively retrieving essential long-range information no matter where it appears in the context. Additionally, its benchmark performance competes with or even surpasses that of dense models with 40 billion parameters, showcasing its strong position within the AI landscape. This combination of efficiency and high performance positions the Ling 2.6 Flash as a compelling choice for developers who desire sophisticated capabilities without placing undue strain on their resources. As technology continues to evolve, the Ling 2.6 Flash stands out as a prime candidate for future innovations in artificial intelligence.

Media

Media

Integrations Supported

Integrations Supported

Claude Code
Hermes Agent
Kilo Code
OpenClaw
OpenRouter
ZenMux

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.00037 per 1M tokens

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

LingQ

Date Founded

2007

Company Location

Canada

Company Website

www.lingq.com/en/

Company Facts

Organization Name

Ant Group

Date Founded

2014

Company Location

China

Company Website

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

Categories and Features

Language Learning

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

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