# DeepSeek V3.2 Exp API Pricing

As of October 10, 2026, DeepSeek V3.2 Exp costs $0.27 per 1M input tokens and $0.41 per 1M output tokens on Novita AI. It has a 163,840-token context window and returns up to 65,536 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-v3.2-exp
- Lab: DeepSeek
- LiteLLM model name: `novita/deepseek/deepseek-v3.2-exp`
- Context window: 163,840 tokens
- Max output: 65,536 tokens
- Added to LiteLLM: November 2025
- 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-v3.2-exp` | $0.27 | $0.41 | – | – | – | 160K |

## Cost examples

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

- Novita AI: $0.745

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

- Novita AI: $2.782

## Features

Supported: Function calling, Parallel tool calls, Structured output, Reasoning.

## Use it with LiteLLM

```python
from litellm import completion

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

## FAQ

### How much does DeepSeek V3.2 Exp cost?

DeepSeek V3.2 Exp costs $0.27 per 1M input tokens and $0.41 per 1M output tokens on Novita AI.

### What is the context window of DeepSeek V3.2 Exp?

DeepSeek V3.2 Exp has a 163,840-token context window and returns up to 65,536 tokens per response.

### Which providers offer DeepSeek V3.2 Exp?

DeepSeek V3.2 Exp is available from Novita AI through LiteLLM, using the model name novita/deepseek/deepseek-v3.2-exp.

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

Use the LiteLLM Python SDK with model="novita/deepseek/deepseek-v3.2-exp", 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 Exp support?

DeepSeek V3.2 Exp supports function calling, parallel tool calls, structured output and reasoning.

### When did LiteLLM add DeepSeek V3.2 Exp?

DeepSeek V3.2 Exp was added to LiteLLM's model price file in November 2025.

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