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GigaChat

Soon

Sber's flagship LLM: strong Russian and data processed inside Russia.

Overview

GigaChat is Sber's family of large language models, trained with Russian as a priority and running on infrastructure inside Russia. The integration will give Seyka an alternative engine for tasks where local data processing and Russian-language style matter most.

Access

This integration is in the works and will be available soon.

GigaChat is Sber's family of large language models, and one of the few flagship networks built with Russian as its first training priority rather than adapted to it after the fact. For Russian-market projects, that difference shows up in tone, phrasing and terminology.

What it is

GigaChat is developed by Sber. Its consumer service is giga.chat, and developers reach the models through the API at developers.sber.ru — an OpenAI-compatible interface with function calling and embeddings, offered as the GigaChat 2 line (Lite, Pro, Max) on Sber's hosting. The mid-2026 flagship generation is GigaChat 3.5 Ultra (July 2026), an open-weight MoE model. Sber's models consistently rank at the top of MERA, the Russian-language benchmark.

What you get

Once the integration ships, GigaChat will give Seyka an alternative engine for work where Russian-language style and local data processing matter most — while the chat, agentic SEO flows and tools stay exactly the same. The open weights and in-Russia hosting also make it relevant for projects that need data handled within the country. It is not a replacement for the current engine, but a wider choice of strengths for different tasks.

FAQ

When will GigaChat be available in Seyka?
The integration is getting ready. We are not promising a date — GigaChat will join the available engines once it is fully ready, and you will see it in the Seyka interface.
How is GigaChat different from Seyka's current engine?
Seyka currently runs on DeepSeek. GigaChat is a separate family of models from Sber, trained with Russian as its first priority and hosted on infrastructure inside Russia — which matters for tasks where local data processing and Russian-language style come first.

Learn more in the SEO guide

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