YandexGPT family is a RU LLM from YandexGPT (Russia).
One-line fit: best used for Russian apps.
Key specifications
| Provider | YandexGPT |
|---|---|
| Model | YandexGPT family |
| Type | RU LLM |
| Context window | Large |
| Pricing (indicative) | Yandex Cloud |
| Company category | Regional hyperscaler |
| Region | Russia |
| Official site | https://yandex.cloud |
Benchmarks and public standing
RU language leaderboards
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Russian apps
This aligns with YandexGPT’s broader strengths:
- Russian language
- Domestic cloud
- Search integration
Limitations and watch-outs
Sanctions/global access issues
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Russian apps
- Teams standardizing on the YandexGPT ecosystem
- Agent builders who need a RU LLM
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
YandexGPT – YandexGPT powers Russian-language AI products and cloud.
Related models from YandexGPT
Data is curated for AIForumSphere model directory mid-2026 directional figures.
