Yandex Unveils YandexGPT 3

Yandex has officially introduced the third generation of its neural network technology, YandexGPT 3, marking a significant advancement in the development of AI-driven solutions. The YandexGPT 3 Pro, the inaugural model in this new line, is now available for testing on the Yandex Cloud platform. This latest iteration promises enhanced performance across a spectrum of complex queries, making it an invaluable tool for businesses and IT products.

YandexGPT 3 Pro distinguishes itself from its predecessors by offering more accurate, comprehensive responses and demonstrating a higher proficiency in handling factual information with fewer stylistic errors. It has been tailored to excel in various sectors, including customer support, online sales, digital communications, marketing, advertising, and personnel management. One of the notable improvements is its capability to efficiently process and generate documents like contracts, invoices, and job descriptions, reflecting its utility in streamlining administrative and operational tasks.

The development and training of YandexGPT 3 have been meticulously focused on specific industries, ensuring that the neural network is well-equipped to address the unique challenges and requirements of each sector. Moreover, organizations have the opportunity to further customize the neural network through additional training, enabling a perfect alignment with their specific business goals.

Integration of YandexGPT 3 Pro into business applications is facilitated via an API, with a demo mode available for users to assess its capabilities. To encourage widespread adoption and testing, Yandex offers registered users 100 free requests per hour, allowing businesses to explore the potential of this technology in enhancing their operations and services.

Looking ahead, Yandex plans to incorporate third-generation YandexGPT neural networks into a broader range of its services, catering to a wider audience and further embedding AI into everyday digital experiences. This move aligns with Yandex’s ongoing research into neural network usage, underscoring the company’s commitment to leveraging AI for solving complex problems and improving user engagement across its platforms.

With the introduction of YandexGPT 3, Yandex continues to push the boundaries of AI technology, setting new standards for accuracy, efficiency, and applicability in real-world scenarios.

Source: Yandex press release

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.