# DeepSeek V3.2 Speciale API Pricing

As of October 10, 2026, DeepSeek V3.2 Speciale costs $0.58 per 1M input tokens and $1.68 per 1M output tokens on Azure AI Foundry. It has a 128,000-token context window and returns up to 128,000 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-v3.2-speciale
- Lab: DeepSeek
- LiteLLM model name: `azure_ai/deepseek-v3.2-speciale`
- Context window: 128,000 tokens
- Max output: 128,000 tokens
- Added to LiteLLM: December 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 |
|---|---|---|---|---|---|---|---|
| Azure AI Foundry | `azure_ai/deepseek-v3.2-speciale` | $0.58 | $1.68 | – | – | – | 128K |

## Cost examples

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

- Azure AI Foundry: $2.00

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

- Azure AI Foundry: $6.136

## Features

Supported: Function calling, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

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

## FAQ

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

DeepSeek V3.2 Speciale costs $0.58 per 1M input tokens and $1.68 per 1M output tokens on Azure AI Foundry.

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

DeepSeek V3.2 Speciale has a 128,000-token context window and returns up to 128,000 tokens per response.

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

DeepSeek V3.2 Speciale is available from Azure AI Foundry through LiteLLM, using the model name azure_ai/deepseek-v3.2-speciale.

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

Use the LiteLLM Python SDK with model="azure_ai/deepseek-v3.2-speciale", 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 Speciale support?

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

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

DeepSeek V3.2 Speciale was added to LiteLLM's model price file in December 2025.

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