Are GigaChat and YandexGPT cheaper?

On simple text tasks, usually yes. On agentic coding the comparison stops meaning much: a cheap model that fails to finish the task costs more, because you also pay for developer time.

Can I move my Claude prompts to a domestic model?

You can move them, but they will behave differently. Prompts built for agentic flows and tool calling almost always need rewriting.

Which is safer for data?

A domestic model is simpler under Russian data law, no argument there. On our side we do not log request or response content, only metadata: model, token count and cost.

What if Claudexia goes away?

Your balance does not expire, and code written against the OpenAI-compatible format moves to another provider by changing the base URL. We deliberately do not lock you into a proprietary format.

Claude vs GigaChat and YandexGPT

TL;DR Domestic models are simpler legally and cheaper on plain text work. Claude is stronger on code, long context and agentic flows. Pick by task, not by flag.

If you need a model for Russian text and you handle personal data, a domestic model is usually simpler: a contract with a Russian entity, data staying in-country, no intermediary. We are not going to pretend otherwise. Below is where that logic breaks down, and why developers still come for Claude.

Where GigaChat and YandexGPT are genuinely easier

The legal side. A contract with a Russian company, closing documents, a clear story on data residency.
No intermediary. You pay the provider directly, with no "what if the gateway disappears" question.
Russian text on simple tasks. Classification, summarisation, rewriting, document work. The gap to Claude here is small.
Ecosystem fit. If you already live inside Yandex Cloud or Sber, wiring it up takes less time.

Where Claude is still clearly ahead

Agentic coding. Claude Code, Cursor, Cline and the rest were written against the Anthropic API. Domestic models do not drop into that with one line.
Long context. Holding a large repository in mind and reasoning across it is what Opus and Sonnet are for.
Tool calling. Multi-step flows where the model decides which tool to reach for and does not fall apart on step five.
The surrounding ecosystem. Ready-made agents, SDKs, editor plugins, thousands of worked examples.

Choosing without ideology

Ask what you are actually doing. If it is Russian text inside the company perimeter with a security team watching, take the domestic model, it is calmer and cheaper. If you write code, run agents, and already have Cursor or Claude Code configured, a domestic model will not replace that work yet, and no saving outweighs it.

Nobody says you must pick one

A pattern that works for many teams: a domestic model for personal-data tasks and bulk text processing, Claude for development and hard reasoning. Claudexia serves both the Anthropic format and an OpenAI-compatible one, so a second model plugs in as another base URL without rewriting code.

Common questions

Are GigaChat and YandexGPT cheaper?: On simple text tasks, usually yes. On agentic coding the comparison stops meaning much: a cheap model that fails to finish the task costs more, because you also pay for developer time.
Can I move my Claude prompts to a domestic model?: You can move them, but they will behave differently. Prompts built for agentic flows and tool calling almost always need rewriting.
Which is safer for data?: A domestic model is simpler under Russian data law, no argument there. On our side we do not log request or response content, only metadata: model, token count and cost.
What if Claudexia goes away?: Your balance does not expire, and code written against the OpenAI-compatible format moves to another provider by changing the base URL. We deliberately do not lock you into a proprietary format.