LiteLLMModels

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.

Model ID azure_ai/FW-DeepSeek-V3.2Prices updated Checked
Scheduled for deprecation: Azure AI Foundry lists July 1, 2027 as the deprecation date for azure_ai/FW-DeepSeek-V3.2.
Input
$0.62 / 1M tokens
Output
$1.85 / 1M tokens
Cache read
$0.31 / 1M tokens
Context window
163,840 tokens
Max output
163,840 tokens
Providers
1
Added to LiteLLM
August 14, 2026

Fw DeepSeek V3.2 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 LiteLLMInputOutputCache readContext
Azure AI Foundryazure_ai/FW-DeepSeek-V3.2$0.62$1.85$0.31160K

What Fw DeepSeek V3.2 costs in practice

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

Fw DeepSeek V3.2 features

Use Fw DeepSeek V3.2 with LiteLLM

Call Fw DeepSeek V3.2 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/FW-DeepSeek-V3.2",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: fw-deepseek-v3.2
    litellm_params:
      model: azure_ai/FW-DeepSeek-V3.2
      # 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": "fw-deepseek-v3.2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Fw DeepSeek V3.2 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.

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.