DeepSeek V4 Flash Thinking API Pricing
As of October 10, 2026, DeepSeek V4 Flash Thinking costs $0.25 per 1M input tokens and $1.75 per 1M output tokens on LibertAI. It has a 200,000-token context window and returns up to 200,000 tokens per response.
- Input
- $0.25 / 1M tokens
- Output
- $1.75 / 1M tokens
- Context window
- 200,000 tokens
- Max output
- 200,000 tokens
- Providers
- 1
- Added to LiteLLM
- June 2026
DeepSeek V4 Flash Thinking 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 |
|---|---|---|---|---|
| LibertAI | libertai/deepseek-v4-flash-thinking | $0.25 | $1.75 | 200K |
What DeepSeek V4 Flash Thinking costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| LibertAI | $1.375 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| LibertAI | $2.85 |
DeepSeek V4 Flash Thinking features
- Function calling
- Image input
- Reasoning
Use DeepSeek V4 Flash Thinking with LiteLLM
Call DeepSeek V4 Flash Thinking 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="libertai/deepseek-v4-flash-thinking",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: deepseek-v4-flash-thinking
litellm_params:
model: libertai/deepseek-v4-flash-thinking
# 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-v4-flash-thinking",
"messages": [{"role": "user", "content": "Hello!"}]
}'DeepSeek V4 Flash Thinking FAQ
How much does DeepSeek V4 Flash Thinking cost?
DeepSeek V4 Flash Thinking costs $0.25 per 1M input tokens and $1.75 per 1M output tokens on LibertAI.
What is the context window of DeepSeek V4 Flash Thinking?
DeepSeek V4 Flash Thinking has a 200,000-token context window and returns up to 200,000 tokens per response.
Which providers offer DeepSeek V4 Flash Thinking?
DeepSeek V4 Flash Thinking is available from LibertAI through LiteLLM, using the model name libertai/deepseek-v4-flash-thinking.
How do I call DeepSeek V4 Flash Thinking with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="libertai/deepseek-v4-flash-thinking", 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 V4 Flash Thinking support?
DeepSeek V4 Flash Thinking supports function calling and reasoning. It does not support image input.
When did LiteLLM add DeepSeek V4 Flash Thinking?
DeepSeek V4 Flash Thinking was added to LiteLLM's model price file in June 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. Provider pricing pages:
LiteLLM docs: LibertAI.
Provider pages: LibertAI.
