# DeepSeek V3 2 251201 API Pricing

As of October 10, 2026, DeepSeek V3 2 251201 is free to use on Volcano Engine. It has a 98,304-token context window and returns up to 32,768 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-v3-2-251201
- Lab: DeepSeek
- LiteLLM model name: `deepseek-v3-2-251201`
- Context window: 98,304 tokens
- Max output: 32,768 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 |
|---|---|---|---|---|---|---|---|
| Volcano Engine | `deepseek-v3-2-251201` | $0 | $0 | – | – | – | 96K |

## Cost examples

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

- Volcano Engine: $0

## Features

Supported: Function calling, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="deepseek-v3-2-251201",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does DeepSeek V3 2 251201 cost?

DeepSeek V3 2 251201 is free to use on Volcano Engine.

### What is the context window of DeepSeek V3 2 251201?

DeepSeek V3 2 251201 has a 98,304-token context window and returns up to 32,768 tokens per response.

### Which providers offer DeepSeek V3 2 251201?

DeepSeek V3 2 251201 is available from Volcano Engine through LiteLLM, using the model name deepseek-v3-2-251201.

### How do I call DeepSeek V3 2 251201 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepseek-v3-2-251201", 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 V3 2 251201 support?

DeepSeek V3 2 251201 supports function calling, reasoning and prompt caching.

### When did LiteLLM add DeepSeek V3 2 251201?

DeepSeek V3 2 251201 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