# DeepSeek Ocr 2 API Pricing

As of October 10, 2026, DeepSeek Ocr 2 costs $0.03 per 1M input tokens and $0.03 per 1M output tokens on Novita AI. It has an 8,192-token context window and returns up to 8,192 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-ocr-2
- Lab: DeepSeek
- LiteLLM model name: `novita/deepseek/deepseek-ocr-2`
- Context window: 8,192 tokens
- Max output: 8,192 tokens
- Added to LiteLLM: August 27, 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 |
|---|---|---|---|---|---|---|---|
| Novita AI | `novita/deepseek/deepseek-ocr-2` | $0.03 | $0.03 | – | – | – | 8K |

## Cost examples

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

- Novita AI: $0.075

## Features

Supported: Image input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="novita/deepseek/deepseek-ocr-2",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does DeepSeek Ocr 2 cost?

DeepSeek Ocr 2 costs $0.03 per 1M input tokens and $0.03 per 1M output tokens on Novita AI.

### What is the context window of DeepSeek Ocr 2?

DeepSeek Ocr 2 has an 8,192-token context window and returns up to 8,192 tokens per response.

### Which providers offer DeepSeek Ocr 2?

DeepSeek Ocr 2 is available from Novita AI through LiteLLM, using the model name novita/deepseek/deepseek-ocr-2.

### How do I call DeepSeek Ocr 2 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="novita/deepseek/deepseek-ocr-2", 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 Ocr 2 support?

DeepSeek Ocr 2 supports image input.

### When did LiteLLM add DeepSeek Ocr 2?

DeepSeek Ocr 2 was added to LiteLLM's model price file on August 27, 2026.

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