Yandex Foundation Models pricing policy

To estimate your service costs, see the pricing in this section.

Prices for service products are also available in the Price list.

In the management console, new users without a billing account have access to models for testing:

• YandexGPT Lite and YandexGPT Pro: 10 free requests per hour.
• YandexART: 10 free requests per day.

What goes into the cost of using Yandex Foundation ModelsWhat goes into the cost of using Yandex Foundation Models

Billing unitBilling unit

Foundation Models usage is detailed out in billing units. The cost of a billing unit is different for text generation and vectorization.

Text generationText generation

Text generation cost is based on the total number of prompt and response tokens and depends on the parameters of your request to the generative model. Namely, the cost depends on the following:

• Model that gets the request.
• The model's operating mode.

The number of prompt and response tokens for the same text may vary depending on model.

When using models in batch processing mode, there is a minimum launch cost of 200,000 tokens.

The total number of billing units is based on the overall number of prompt and response tokens and is rounded up to a whole number.

TokenizationTokenization

The use of tokenizer (TokenizerService calls and Tokenizer methods) is not charged.

Fine-tuned modelsFine-tuned models

At the Preview stage, you can fine-tune models free of charge. The use of fine-tuned models is charged according to the base model's pricing policy:

• The use of models fine-tuned in Yandex DataSphere is charged according to the YandexGPT Pro policy.
• The use of a fine-tuned YandexGPT Lite model is charged according to the YandexGPT Lite policy.
• The use of a fine-tuned Llama 8B model is charged according to the Llama 8B policy.

Text classificationText classification

The cost of text classification depends on the classification model you use and the number of tokens you provide.

• When classifying with YandexGPT Lite, a billing unit is a request of up to 1,000 tokens.
• When classifying with YandexGPT Pro and fine-tuned classifiers, a billing unit is a request of up to 250 tokens.

Requests with less than one billing unit are rounded up to the next integer. Large texts are billed as multiple requests with rounding up.

For example, classifying a text of 770 tokens with YandexGPT Lite will be billed as a single request, i.e., as one billing unit.
The same 770-token text classified with YandexGPT Pro or a fine-tuned classifier will be billed as four requests.

Text vectorizationText vectorization

The cost of text vectorization (getting text embeddings) depends on the size of the text submitted for vectorization.

Work of assistantsWork of assistants

At the Preview stage, you can use AI Assistant API and store files free of charge; however, you will be charged for models according to the text generation rules.

Image generationImage generation

You are charged for each generation request in YandexART. The requests are not idempotent; therefore, two requests with the same settings and generation prompt are two separate requests.

Internal server errorsInternal server errors

You are not charged for a request that fails due to an internal server error.

Prices for the Russia regionPrices for the Russia region

Text generationText generation

Number	Cost, without VAT
1,000 units	$0.001667

Cost of using models in synchronous and asynchronous modeCost of using models in synchronous and asynchronous mode

Model	Cost per 1,000 tokens, synchronous mode, without VAT	Cost per 1,000 tokens, asynchronous mode, without VAT
YandexGPT Lite	$0.001667	$0.000834
YandexGPT Pro	$0.010002	$0.010000
Model fine-tuned in DataSphere	$0.010002	$0.005001
Llama 8B	$0.001667	$0.000834
Llama 70B	$0.010002	$0.005001

Cost of using models in batch processing modeCost of using models in batch processing mode

When using models in batch processing mode, there is a minimum launch cost of 200,000 tokens.

Model	Cost per 1,000 tokens, batch processing mode, without VAT
Qwen2.5 7B Instruct	$0.000834
Qwen2.5 72B Instruct	$0.005001
QwQ 32B Instruct	$0.003334
Llama-3.3-70B-Instruct	$0.005001
Llama-3.1-70B-Instruct	$0.005001
DeepSeek-R1-Distill-Llama-70B	$0.005001
Qwen2.5 32B Instruct	$0.003334
DeepSeek-R1-Distill-Qwen-32B	$0.003334
phi-4	$0.001667
Qwen2 VL 7B	$0.000834
Qwen2.5 VL 7B	$0.000834
DeepSeek 2 VL	$0.003334
DeepSeek 2 VL Tiny	$0.000834
Gemma3 1B it	$0.000834
Gemma3 4B it	$0.000834
Gemma3 12B it	$0.001667
Gemma3 27B it	$0.003334
Qwen 2.5 VL 32B Instruct	$0.003334
Qwen3-0.6B	$0.000834
Qwen3-1.7B	$0.000834
Qwen3-4B	$0.000834
Qwen3-8B	$0.000834
Qwen3-14B	$0.001667
Qwen3-32B	$0.003334
Qwen3-30B-A3B	$0.003334
Qwen3-235B-A22B	$0.050010

Text classificationText classification

Service	Cost, without VAT
1 request (1,000 tokens) to classifier based on YandexGPT Lite	$0.001250
1 request (250 tokens) to classifier based on YandexGPT Pro	$0.001250
1 request (250 tokens) to tuned classifier	$0.001250

Text vectorizationText vectorization

Number	Cost, without VAT
1,000 units	$0.000083

Model parameters	Number of units per token	Cost per 1,000 tokens, without VAT
Embeddings	1	$0.000083

Image generationImage generation

Service	Cost, without VAT
1 request for YandexART image generation	$0.018333

Examples of YandexGPT Lite and YandexGPT Pro usage cost calculationExamples of YandexGPT Lite and YandexGPT Pro usage cost calculation

Calculating text generation costCalculating text generation cost

Example 1Example 1

Cost of using YandexGPT Lite for text generation with the following parameters:

• Number of prompt tokens: 225
• Number of response tokens: 525
• Model: YandexGPT Lite
• Model working mode: Synchronous

Total: ($0.001667 / 1,000 units) × 750 units = $0.001250

Example 2Example 2

Cost of using YandexGPT Pro for text generation with the following parameters:

• Number of prompt tokens: 115
• Number of response tokens: 1,500
• Model: YandexGPT Pro
• Model working mode: Asynchronous

The cost is calculated as follows:

• Number of prompt and response tokens: 115 + 1,500 = 1,615
• Price per 1,000 tokens for the YandexGPT Pro model, asynchronous mode: $0.005001
• Number of units per token for the YandexGPT Pro model, asynchronous mode: 3
• Total number of units in usage details: 1,615 × 3 = 4,845

Total: ($0.005001 / 1,000 tokens) × 1,615 tokens = $0.008077.

Example 3Example 3

Cost of using YandexGPT Pro and DataSphere for text generation with the following parameters:

• Number of prompt tokens: 1,020
• Number of response tokens: 30
• Model: YandexGPT Pro fine-tuned in DataSphere
• Model working mode: Synchronous

The cost is calculated as follows:

• Number of prompt and response tokens: 1,020 + 30 = 1,050
• Price per 1,000 tokens for the model fine-tuned in DataSphere, synchronous mode: $0.010002
• Number of units per token for the model fine-tuned in DataSphere, synchronous mode: 6
• Total number of units in usage details: 1,050 × 6 = 6,300

Total: ($0.001667 / 1,000 units) × 6,300 units = $0.010502 or ($0.010002 / 1,000 tokens) × 1,050 tokens = $0.010502.

Calculating text vectorization costCalculating text vectorization cost

Cost of using Yandex Foundation Models for text vectorization with the following parameter:

• Number of tokens in the request: 2,000

• $0.000083: Cost for processing 1,000 tokens
• $0.000083 / 1,000: Cost for processing one token

2,000 × ($0.000083 / 1,000) = $0.000166

Total: $0.000166.