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.
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.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Azure AI Foundry | azure_ai/FW-DeepSeek-V3.2 | $0.62 | $1.85 | $0.31 | 160K |
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
- Function calling
- Reasoning
- Prompt caching
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.
from litellm import completion
response = completion(
model="azure_ai/FW-DeepSeek-V3.2",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: fw-deepseek-v3.2
litellm_params:
model: azure_ai/FW-DeepSeek-V3.2
# 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": "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.
