# R1v4 Lite API Pricing

As of October 10, 2026, R1v4 Lite costs $0.20 per 1M input tokens and $0.60 per 1M output tokens on Novita AI. It has a 262,144-token context window and returns up to 65,536 tokens per response.

- Page: https://models.litellm.ai/models/r1v4-lite
- LiteLLM model name: `novita/skywork/r1v4-lite`
- Context window: 262,144 tokens
- Max output: 65,536 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/skywork/r1v4-lite` | $0.20 | $0.60 | – | – | – | 256K |

## Cost examples

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

- Novita AI: $0.70

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

- Novita AI: $2.12

## Features

Supported: Structured output, Image input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="novita/skywork/r1v4-lite",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does R1v4 Lite cost?

R1v4 Lite costs $0.20 per 1M input tokens and $0.60 per 1M output tokens on Novita AI.

### What is the context window of R1v4 Lite?

R1v4 Lite has a 262,144-token context window and returns up to 65,536 tokens per response.

### Which providers offer R1v4 Lite?

R1v4 Lite is available from Novita AI through LiteLLM, using the model name novita/skywork/r1v4-lite.

### How do I call R1v4 Lite with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="novita/skywork/r1v4-lite", 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 R1v4 Lite support?

R1v4 Lite supports structured output and image input.

### When did LiteLLM add R1v4 Lite?

R1v4 Lite 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