DeepSeek V3 Turbo API Pricing
As of October 10, 2026, DeepSeek V3 Turbo costs $0.40 per 1M input tokens and $1.30 per 1M output tokens on Novita AI. It has a 64,000-token context window and returns up to 16,000 tokens per response.
- Input
- $0.40 / 1M tokens
- Output
- $1.30 / 1M tokens
- Context window
- 64,000 tokens
- Max output
- 16,000 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
DeepSeek V3 Turbo 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 |
|---|---|---|---|---|
| Novita AI | novita/deepseek/deepseek-v3-turbo | $0.40 | $1.30 | 64K |
What DeepSeek V3 Turbo costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Novita AI | $1.45 |
DeepSeek V3 Turbo features
- Function calling
- Parallel tool calls
Use DeepSeek V3 Turbo with LiteLLM
Call DeepSeek V3 Turbo 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="novita/deepseek/deepseek-v3-turbo",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: deepseek-v3-turbo
litellm_params:
model: novita/deepseek/deepseek-v3-turbo
# 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-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'DeepSeek V3 Turbo FAQ
How much does DeepSeek V3 Turbo cost?
DeepSeek V3 Turbo costs $0.40 per 1M input tokens and $1.30 per 1M output tokens on Novita AI.
What is the context window of DeepSeek V3 Turbo?
DeepSeek V3 Turbo has a 64,000-token context window and returns up to 16,000 tokens per response.
Which providers offer DeepSeek V3 Turbo?
DeepSeek V3 Turbo is available from Novita AI through LiteLLM, using the model name novita/deepseek/deepseek-v3-turbo.
How do I call DeepSeek V3 Turbo with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="novita/deepseek/deepseek-v3-turbo", 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 Turbo support?
DeepSeek V3 Turbo supports function calling and parallel tool calls.
When did LiteLLM add DeepSeek V3 Turbo?
DeepSeek V3 Turbo 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.
Provider pages: Novita AI.
