# DeepSeek Reasoner API Pricing

As of October 10, 2026, DeepSeek Reasoner costs $0.28 per 1M input tokens and $0.42 per 1M output tokens on DeepSeek, with cache reads at $0.028 per 1M tokens. It has a 131,072-token context window and returns up to 65,536 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-reasoner
- Lab: DeepSeek
- LiteLLM model name: `deepseek-reasoner`
- Context window: 131,072 tokens
- Max output: 65,536 tokens
- Added to LiteLLM: January 2025
- Deprecation date: July 24, 2026
- 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 |
|---|---|---|---|---|---|---|---|
| DeepSeek | `deepseek-reasoner` | $0.28 | $0.42 | $0.028 | – | – | 128K |
| DeepSeek | `deepseek/deepseek-reasoner` | $0.28 | $0.42 | $0.028 | – | – | 128K |

## Cost examples

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

- DeepSeek: $0.77

100 long-document requests with 100,000 input and 2,000 output tokens each:

- DeepSeek: $2.884

## Features

Supported: Structured output, Reasoning, Prompt caching.
Not supported: Function calling, Parallel tool calls.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="deepseek-reasoner",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does DeepSeek Reasoner cost?

DeepSeek Reasoner costs $0.28 per 1M input tokens and $0.42 per 1M output tokens on DeepSeek, with cache reads at $0.028 per 1M tokens.

### What is the context window of DeepSeek Reasoner?

DeepSeek Reasoner has a 131,072-token context window and returns up to 65,536 tokens per response.

### Which providers offer DeepSeek Reasoner?

DeepSeek Reasoner is available from DeepSeek through LiteLLM, using the model name deepseek-reasoner.

### How do I call DeepSeek Reasoner with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepseek-reasoner", 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 Reasoner support?

DeepSeek Reasoner supports structured output, reasoning and prompt caching. It does not support function calling and parallel tool calls.

### When did LiteLLM add DeepSeek Reasoner?

DeepSeek Reasoner was added to LiteLLM's model price file in January 2025.

### Is DeepSeek Reasoner being deprecated?

DeepSeek deprecated deepseek-reasoner on July 24, 2026.

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