# 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.

- Page: https://models.litellm.ai/models/deepseek-coder-v2-base
- Lab: DeepSeek
- LiteLLM model name: `ollama/deepseek-coder-v2-base`
- Context window: 8,192 tokens
- Max output: 8,192 tokens
- Added to LiteLLM: August 2024
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Ollama | `ollama/deepseek-coder-v2-base` | $0 | $0 | – | – | – | 8K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Ollama: $0

## Features

Supported: Function calling.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="ollama/deepseek-coder-v2-base",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## 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.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json