March 13, 2025, Moscow
The entire GigaChat 2.0 product line has received a significant upgrade, enabling business customers to solve current tasks and implement large-scale projects faster and better.
- GigaChat 2 MAX has become even more powerful and outperforms many similar foreign models in solving tasks set in the Russian language.
- GigaChat 2 Pro shows the same quality as the previous MAX version and can handle tasks where creativity and accuracy are important. At the same time, the model itself is less demanding in terms of resources.
- GigaChat 2 Lite, the basic model for lighter tasks, is now comparable in quality to the previous Pro version and can handle complex tasks faster and more cost-effectively.
Users retain access to the first-generation models and can try GigaChat 2.0 before upgrading to the new product line. You don’t need to know much about programming to find the best version of GigaChat and its prompts for your business. The entire suite is available to enterprises in the cloud via APIs and can also be deployed on-prem.
Andrey Belevtsev, senior vice president, head of Technology Development, Sberbank:
“GigaChat 2.0 is not just about an increase in metrics and technical features, but a significant step in the development of Russian-language large language models (LLMs). We have created a model at the level of the world’s best solutions, and in Russian-language tasks, the model outperforms most of them. Strong Russian neural networks are strategically important for any company operating in Russia. 15,000 companies already use GigaChat, and this powerful upgrade to our product line will allow even more customers to solve a wide range of tasks more efficiently. By improving processes with the help of artificial intelligence, companies will have a unique opportunity to stay ahead of the competition, increase profits, and improve customer loyalty.”
Create more productive AI agents
Based on GigaChat 2.0, companies will be able to create more productive autonomous assistants (AI agents) that can reason and solve complex, multi-component problems on their own. This has been made possible because models have increased their knowledge of math, science, and the humanities, and have learned to program and write better code. To develop agents in Python and JS, you can use the popular LangChain SDK, with which GigaChat is fully compatible. Compatibility packages are available in the GigaChain repository.
Process four times more context
Next-gen models retain the context of a conversation for much longer, answer complex, long questions, and analyze more text. Previously, a single query could contain about 48 A4 pages of text (14 pt font), but now the maximum query volume has increased to nearly 200 pages. This makes it easier to build chatbots with GigaChat 2.0.
Solve work tasks two times better
The new models are twice as accurate at following the user’s instructions and 25% better at answering questions: they follow the specified formats and conditions and formulate answers in a certain style, which helps solve work tasks more efficiently: preparing supporting legal documentation, analyzing customer requests, etc.
On par with global leaders
According to the independent MERA benchmark for Russian, GigaChat 2 MAX ranks first among AI models. And according to the results of MMLU benchmarking in Russian and English, the new product line is on par with the world’s top performers or even surpasses them. The most impressive results were achieved by the flagship model of the series. Compared to DeepSeek-V3, Qwen2.5 (Qwen-2.5-75b), GPT4o, and LLaMA 70B, GigaChat 2 MAX answers factual questions in Russian better and follows the given format. The model also outperforms its foreign counterparts according to the HumanEval benchmark for performance in code generation tasks and is more proficient in the exact sciences.
# # #
Press office
PJSC Sberbank is Russia’s largest bank and a leading global financial institution. Holding almost one-third of aggregate Russian banking sector assets, Sberbank is the key lender to the national economy and one of the biggest deposit takers in Russia. The Government of the Russian Federation represented by the Ministry of Finance of the Russian Federation is the principal shareholder of PJSC Sberbank owning 50% plus one voting share of the bank’s authorized capital, with the remaining 50% minus one voting share held by domestic and international investors. It holds general banking license No. 1481 dd. August 11, 2015, from the Bank of Russia. Official websites of the bank: www.sberbank.com (Sberbank Group website), www.sberbank.ru.
