DeepSeek V3 2 251201 API Pricing
As of October 10, 2026, DeepSeek V3 2 251201 is free to use on Volcano Engine. It has a 98,304-token context window and returns up to 32,768 tokens per response.
- Price
- Free
- Context window
- 98,304 tokens
- Max output
- 32,768 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
DeepSeek V3 2 251201 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 |
|---|---|---|---|---|
| Volcano Engine | deepseek-v3-2-251201 | $0 | $0 | 96K |
What DeepSeek V3 2 251201 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Volcano Engine | $0 |
DeepSeek V3 2 251201 features
- Function calling
- Reasoning
- Prompt caching
Use DeepSeek V3 2 251201 with LiteLLM
Call DeepSeek V3 2 251201 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="deepseek-v3-2-251201",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: deepseek-v3-2-251201
litellm_params:
model: deepseek-v3-2-251201
# 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-v3-2-251201",
"messages": [{"role": "user", "content": "Hello!"}]
}'DeepSeek V3 2 251201 FAQ
How much does DeepSeek V3 2 251201 cost?
DeepSeek V3 2 251201 is free to use on Volcano Engine.
What is the context window of DeepSeek V3 2 251201?
DeepSeek V3 2 251201 has a 98,304-token context window and returns up to 32,768 tokens per response.
Which providers offer DeepSeek V3 2 251201?
DeepSeek V3 2 251201 is available from Volcano Engine through LiteLLM, using the model name deepseek-v3-2-251201.
How do I call DeepSeek V3 2 251201 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepseek-v3-2-251201", 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 251201 support?
DeepSeek V3 2 251201 supports function calling, reasoning and prompt caching.
When did LiteLLM add DeepSeek V3 2 251201?
DeepSeek V3 2 251201 was added to LiteLLM's model price file in January 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: Volcano Engine.
Provider pages: Volcano Engine.
