DeepSeek Coder V2 Base API Pricing
As of October 10, 2026, DeepSeek Coder V2 Base is free to use on Ollama. It has an 8,192-token context window and returns up to 8,192 tokens per response.
- Price
- Free
- Context window
- 8,192 tokens
- Max output
- 8,192 tokens
- Providers
- 1
- Added to LiteLLM
- August 2024
DeepSeek Coder V2 Base 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 |
|---|---|---|---|---|
| Ollama | ollama/deepseek-coder-v2-base | $0 | $0 | 8K |
What DeepSeek Coder V2 Base costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Ollama | $0 |
DeepSeek Coder V2 Base features
- Function calling
Use DeepSeek Coder V2 Base with LiteLLM
Call DeepSeek Coder V2 Base through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="ollama/deepseek-coder-v2-base",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: deepseek-coder-v2-base
litellm_params:
model: ollama/deepseek-coder-v2-base
# 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-coder-v2-base",
"messages": [{"role": "user", "content": "Hello!"}]
}'DeepSeek Coder V2 Base FAQ
How much does DeepSeek Coder V2 Base cost?
DeepSeek Coder V2 Base is free to use on Ollama.
What is the context window of DeepSeek Coder V2 Base?
DeepSeek Coder V2 Base has an 8,192-token context window and returns up to 8,192 tokens per response.
Which providers offer DeepSeek Coder V2 Base?
DeepSeek Coder V2 Base is available from Ollama through LiteLLM, using the model name ollama/deepseek-coder-v2-base.
How do I call DeepSeek Coder V2 Base with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="ollama/deepseek-coder-v2-base", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does DeepSeek Coder V2 Base support?
DeepSeek Coder V2 Base supports function calling.
When did LiteLLM add DeepSeek Coder V2 Base?
DeepSeek Coder V2 Base was added to LiteLLM's model price file in August 2024.
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: Ollama.
Provider pages: Ollama.
