# DeepSeek R1 0528 Turbo API Pricing

As of October 10, 2026, DeepSeek R1 0528 Turbo costs $1.00 per 1M input tokens and $3.00 per 1M output tokens on DeepInfra. It has a 32,768-token context window and returns up to 32,768 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-r1-0528-turbo
- Lab: DeepSeek
- LiteLLM model name: `deepinfra/deepseek-ai/DeepSeek-R1-0528-Turbo`
- Context window: 32,768 tokens
- Max output: 32,768 tokens
- Added to LiteLLM: August 2025
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| DeepInfra | `deepinfra/deepseek-ai/DeepSeek-R1-0528-Turbo` | $1.00 | $3.00 | – | – | – | 32K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- DeepInfra: $3.50

## Features

Supported: Function calling.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="deepinfra/deepseek-ai/DeepSeek-R1-0528-Turbo",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does DeepSeek R1 0528 Turbo cost?

DeepSeek R1 0528 Turbo costs $1.00 per 1M input tokens and $3.00 per 1M output tokens on DeepInfra.

### What is the context window of DeepSeek R1 0528 Turbo?

DeepSeek R1 0528 Turbo has a 32,768-token context window and returns up to 32,768 tokens per response.

### Which providers offer DeepSeek R1 0528 Turbo?

DeepSeek R1 0528 Turbo is available from DeepInfra through LiteLLM, using the model name deepinfra/deepseek-ai/DeepSeek-R1-0528-Turbo.

### How do I call DeepSeek R1 0528 Turbo with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepinfra/deepseek-ai/DeepSeek-R1-0528-Turbo", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does DeepSeek R1 0528 Turbo support?

DeepSeek R1 0528 Turbo supports function calling.

### When did LiteLLM add DeepSeek R1 0528 Turbo?

DeepSeek R1 0528 Turbo was added to LiteLLM's model price file in August 2025.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json