# Fw DeepSeek V3.2 API Pricing

As of October 10, 2026, Fw DeepSeek V3.2 costs $0.62 per 1M input tokens and $1.85 per 1M output tokens on Azure AI Foundry, with cache reads at $0.31 per 1M tokens. It has a 163,840-token context window and returns up to 163,840 tokens per response.

- Page: https://models.litellm.ai/models/fw-deepseek-v3.2
- LiteLLM model name: `azure_ai/FW-DeepSeek-V3.2`
- Context window: 163,840 tokens
- Max output: 163,840 tokens
- Added to LiteLLM: August 14, 2026
- Deprecation date: July 1, 2027
- 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/FW-DeepSeek-V3.2` | $0.62 | $1.85 | $0.31 | – | – | 160K |

## Cost examples

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

- Azure AI Foundry: $2.165

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

- Azure AI Foundry: $6.57

## Features

Supported: Function calling, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="azure_ai/FW-DeepSeek-V3.2",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

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

Fw DeepSeek V3.2 costs $0.62 per 1M input tokens and $1.85 per 1M output tokens on Azure AI Foundry, with cache reads at $0.31 per 1M tokens.

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

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

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

Fw DeepSeek V3.2 is available from Azure AI Foundry through LiteLLM, using the model name azure_ai/FW-DeepSeek-V3.2.

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

Use the LiteLLM Python SDK with model="azure_ai/FW-DeepSeek-V3.2", 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 Fw DeepSeek V3.2 support?

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

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

Fw DeepSeek V3.2 was added to LiteLLM's model price file on August 14, 2026.

### Is Fw DeepSeek V3.2 being deprecated?

Azure AI Foundry lists a deprecation date of July 1, 2027 for azure_ai/FW-DeepSeek-V3.2.

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