3 models across 1 family · Latest: GigaChat Pro (2023-06)
Multimodal AI fluent in Russian
Gigachat (Sberbank)'s portfolio covers 3 active models across 1 non-obsolete family, with task labels spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 0 decision-task tags, 3 active tracked models, latest research stamp 2026-05-19.
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Active models
3
Non-deprecated SKUs linked to this researcher
Active families
1
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
0
Need benchmarks or capability flags
Latest dated release
2023-06-15
GigaChat Pro
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 3 recent dated ships (full timeline below). Latest spotlight: GigaChat Pro (2023-06-15).
Where this lab wins
Task positioning unavailable until capability tags or benchmarks populate for active SKUs.
Flagship quality / price signal
Anchor SKU: GigaChat Pro (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Gigachat (Sberbank) is an AI research organization founded in 1841. Multimodal AI fluent in Russian. Gigachat (Sberbank) ships 1 model family totaling 3 models, with the most recent release GigaChat Pro in 2023-06. Notable families include GigaChat. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts. View official API endpoints, benchmark performance, and coding/agent fit for every Gigachat (Sberbank) model.
About
GigaChat, a cutting-edge generative AI chatbot developed by Sberbank, represents a significant stride in the AI landscape, specifically within the realm of large language models. Launched in April 2023, GigaChat is positioned as a formidable Russian alternative to globally recognized chatbots like OpenAI's ChatGPT. Its development was driven by the need to enhance Russian language communication capabilities, a unique aspect that sets it apart from its foreign counterparts. This goal aligns with Sberbank's strategic investments aimed at minimizing Russia's dependence on foreign technologies amidst escalating Western sanctions. The backbone of GigaChat's advanced capabilities is the NeONKA model, a sophisticated neural network ensemble that incorporates both supervised fine-tuning and reinforcement learning with human feedback. This model endows GigaChat with an ability to approach cognitive tasks and common daily challenges with remarkable proficiency. The integration with the Kandinsky 2.1 model further extends its capabilities into the realm of image generation, which was a notable enhancement over the initial releases of ChatGPT. The development of GigaChat was a collaborative effort involving Sberbank's internal divisions, SberDevices and Sber AI, along with contributions from external experts. This concerted effort also highlighted measures designed to prevent any generation of content that could contravene its established code of ethics. Moreover, GigaChat's architecture is uniquely open-source. This approach contrasts sharply with the more proprietary nature of many of its global competitors, thereby encouraging innovation and collaboration within the Russian AI community. The integral relationship between GigaChat and Sberbank serves as both a developer and a key user of the chatbot's functionalities. With plans to integrate GigaChat across various Sberbank products and services, such as the Salute virtual assistant, Sberbank underscores its strategic commitment to embedding AI deeper into its operations. This commitment not only exemplifies their dedication to AI innovation but also reflects a broader ambition to enhance customer engagement and operational efficiency through the adoption of advanced AI technologies.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| GigaChat Pro | 2023-06-15 | 8k | - | - | Unknown |
| GigaChat Lite+ | 2023-06-15 | 32k | - | - | Unknown |
| GigaChat Lite | 2023-06-15 | 8k | - | - | Unknown |
Model families
Recent releases
- GigaChat Pro- 2023-06-15
- GigaChat Lite+- 2023-06-15
- GigaChat Lite- 2023-06-15
FAQ
Who founded Gigachat (Sberbank) and when?
Gigachat (Sberbank) was founded in 1841 and is associated with Moscow, Russia.
What models has Gigachat (Sberbank) released?
Gigachat (Sberbank) ships 3 models across 1 family: GigaChat.
Is Gigachat (Sberbank)'s technology open source?
LLMReference does not yet have enough model license data to classify Gigachat (Sberbank)'s releases.
Where is Gigachat (Sberbank) headquartered?
Gigachat (Sberbank) is headquartered in Moscow, Russia.
What is Gigachat (Sberbank) known for?
Multimodal AI fluent in Russian. Its most prominent tracked family is GigaChat.
How can I access Gigachat (Sberbank)'s models?
Gigachat (Sberbank)'s provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.