LiteLLMModels

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.

By DeepSeekModel ID azure_ai/deepseek-v3.2-specialePrices updated Checked
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.

ProviderModel name in LiteLLMInputOutputContext
Azure AI Foundryazure_ai/deepseek-v3.2-speciale$0.58$1.68128K

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

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.

Python SDK
from litellm import completion

response = completion(
    model="azure_ai/deepseek-v3.2-speciale",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: deepseek-v3.2-speciale
    litellm_params:
      model: azure_ai/deepseek-v3.2-speciale
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl 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.