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.
- Input
- $0.58 / 1M tokens
- Output
- $1.68 / 1M tokens
- Context window
- 128,000 tokens
- Max output
- 128,000 tokens
- Providers
- 1
- Added to LiteLLM
- December 2025
DeepSeek V3.2 Speciale pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| Azure AI Foundry | azure_ai/deepseek-v3.2-speciale | $0.58 | $1.68 | 128K |
What DeepSeek V3.2 Speciale costs in practice
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 |
DeepSeek V3.2 Speciale features
- Function calling
- Reasoning
- Prompt caching
Use DeepSeek V3.2 Speciale with LiteLLM
Call DeepSeek V3.2 Speciale through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="azure_ai/deepseek-v3.2-speciale",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: deepseek-v3.2-speciale
litellm_params:
model: azure_ai/deepseek-v3.2-speciale
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "deepseek-v3.2-speciale",
"messages": [{"role": "user", "content": "Hello!"}]
}'DeepSeek V3.2 Speciale 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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Azure AI Foundry.
Provider pages: Azure AI Foundry.
