# Paddleocr VL API Pricing

As of October 10, 2026, Paddleocr VL costs $0.02 per 1M input tokens and $0.02 per 1M output tokens on Novita AI. It has a 16,384-token context window and returns up to 16,384 tokens per response.

- Page: https://models.litellm.ai/models/paddleocr-vl
- LiteLLM model name: `novita/paddlepaddle/paddleocr-vl`
- Context window: 16,384 tokens
- Max output: 16,384 tokens
- Added to LiteLLM: January 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/paddlepaddle/paddleocr-vl` | $0.02 | $0.02 | – | – | – | 16K |

## Cost examples

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

- Novita AI: $0.05

## Features

Supported: Image input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="novita/paddlepaddle/paddleocr-vl",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Paddleocr VL cost?

Paddleocr VL costs $0.02 per 1M input tokens and $0.02 per 1M output tokens on Novita AI.

### What is the context window of Paddleocr VL?

Paddleocr VL has a 16,384-token context window and returns up to 16,384 tokens per response.

### Which providers offer Paddleocr VL?

Paddleocr VL is available from Novita AI through LiteLLM, using the model name novita/paddlepaddle/paddleocr-vl.

### How do I call Paddleocr VL with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="novita/paddlepaddle/paddleocr-vl", 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 Paddleocr VL support?

Paddleocr VL supports image input.

### When did LiteLLM add Paddleocr VL?

Paddleocr VL was added to LiteLLM's model price file in January 2026.

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