LLM API cost calculator
Estimate monthly model costs using GigaChat API and Yandex AI Studio prices. Enter your workload and response length to compare models. Self-hosted server costs are covered separately below.
Monthly estimate
33,000 model calls, including retries, checks and agent steps
Synchronous API prices, VAT included. Model calls only.
GigaChat Lite
GigaChat
- Per month
- 4,076 ₽
- Per 1,000 calls
- 124 ₽
Per 1K tokens, input / output: 0.065 / 0.065 ₽
Alice AI LLM Flash
Yandex AI Studio
- Per month
- 7,590 ₽
- Per 1,000 calls
- 230 ₽
Per 1K tokens, input / output: 0.1 / 0.2 ₽
YandexGPT Lite
Yandex AI Studio
- Per month
- 12,540 ₽
- Per 1,000 calls
- 380 ₽
Per 1K tokens, input / output: 0.2 / 0.2 ₽
Qwen3.6 35B
Yandex AI Studio (open model hosted in AI Studio)
- Per month
- 13,860 ₽
- Per 1,000 calls
- 420 ₽
Per 1K tokens, input / output: 0.2 / 0.3 ₽
gpt-oss-120b
Yandex AI Studio (open model hosted in AI Studio)
- Per month
- 18,810 ₽
- Per 1,000 calls
- 570 ₽
Per 1K tokens, input / output: 0.3 / 0.3 ₽
GigaChat Pro
GigaChat
- Per month
- 31,350 ₽
- Per 1,000 calls
- 950 ₽
Per 1K tokens, input / output: 0.5 / 0.5 ₽
Alice AI LLM
Yandex AI Studio
- Per month
- 40,590 ₽
- Per 1,000 calls
- 1,230 ₽
Per 1K tokens, input / output: 0.5 / 1.2 ₽
GigaChat Max
GigaChat
- Per month
- 40,755 ₽
- Per 1,000 calls
- 1,235 ₽
Per 1K tokens, input / output: 0.65 / 0.65 ₽
YandexGPT Pro 5.1
Yandex AI Studio
- Per month
- 50,160 ₽
- Per 1,000 calls
- 1,520 ₽
Per 1K tokens, input / output: 0.8 / 0.8 ₽
| Model | Per month | Per 1,000 calls |
|---|---|---|
| GigaChat LiteGigaChat0.065 / 0.065 ₽ per 1K tokens, in / out | 4,076 ₽ | 124 ₽ |
| Alice AI LLM FlashYandex AI Studio0.1 / 0.2 ₽ per 1K tokens, in / out | 7,590 ₽ | 230 ₽ |
| YandexGPT LiteYandex AI Studio0.2 / 0.2 ₽ per 1K tokens, in / out | 12,540 ₽ | 380 ₽ |
| Qwen3.6 35BYandex AI Studio · open model hosted in AI Studio0.2 / 0.3 ₽ per 1K tokens, in / out | 13,860 ₽ | 420 ₽ |
| gpt-oss-120bYandex AI Studio · open model hosted in AI Studio0.3 / 0.3 ₽ per 1K tokens, in / out | 18,810 ₽ | 570 ₽ |
| GigaChat ProGigaChat0.5 / 0.5 ₽ per 1K tokens, in / out | 31,350 ₽ | 950 ₽ |
| Alice AI LLMYandex AI Studio0.5 / 1.2 ₽ per 1K tokens, in / out | 40,590 ₽ | 1,230 ₽ |
| GigaChat MaxGigaChat0.65 / 0.65 ₽ per 1K tokens, in / out | 40,755 ₽ | 1,235 ₽ |
| YandexGPT Pro 5.1Yandex AI Studio0.8 / 0.8 ₽ per 1K tokens, in / out | 50,160 ₽ | 1,520 ₽ |
An estimate of model call costs. Minimum charges and other running costs are explained below. Prices checked on 9 October 2026. Sources: GigaChat API: тарифы для юридических лиц, Yandex AI Studio: правила тарификации.
How to read the result
- Each provider counts tokens with its own tokenizer, so the same text yields a different token count. The calculator uses one count for all, so compare orders of magnitude, not exact figures.
- GigaChat API for companies has a minimum charge of 600 ₽ per month incl. VAT in months with usage. Asynchronous mode is roughly half the price at both providers when an immediate answer is not required.
- This covers model calls only. A running service also pays for embeddings and retrieval for RAG, storage, monitoring and the team's maintenance time.
When to consider a self-hosted model
A model on your own infrastructure is considered for two reasons: data cannot leave your perimeter, or the load is steadily high and the API bill grows faster than hardware cost would. It cannot be computed from a template: a few factors decide it.
- Model size and the quality you need: they determine the GPUs and how many.
- Utilisation: a server costs the same day and night, while an API bills only requests.
- Peaks: bursts need spare capacity or a queue.
- Operations: model updates, monitoring, redundancy and on-call.
FAQ
How many tokens are in one request?
Characters per token depend on the model and the language, so there is no universal ratio. It is more reliable to send 20 to 30 real requests from your scenario through the API and read the token counts the service returns.
Why are OpenAI and other foreign models not included?
The calculator targets companies operating in Russia, where paying for foreign APIs needs a separate arrangement. Foreign platforms are compared in our AI agent platform overview.
What are retries and why count them?
These are calls the system sends again after a timeout, an error or an answer check. In agents one user request often means several model calls. Leave them out and the first invoice will be higher than planned.
Comparing foreign platforms? AI agent platforms in 2026 →