LiteLLMModels

DeepSeek Chat API Pricing

As of October 10, 2026, DeepSeek Chat costs $0.28 per 1M input tokens and $0.42 per 1M output tokens on DeepSeek, with cache reads at $0.028 per 1M tokens. It has a 131,072-token context window and returns up to 8,192 tokens per response.

By DeepSeekModel ID deepseek-chatPrices updated Checked
Deprecated: DeepSeek lists July 24, 2026 as the deprecation date for deepseek-chat.
Input
$0.28 / 1M tokens
Output
$0.42 / 1M tokens
Cache read
$0.028 / 1M tokens
Context window
131,072 tokens
Max output
8,192 tokens
Providers
1
Added to LiteLLM
May 2024

DeepSeek Chat pricing by provider

2 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputCache readCache writeContext
DeepSeekdeepseek-chat$0.28$0.42$0.028–128K
DeepSeekdeepseek/deepseek-chat$0.28$0.42$0.028$0128K

What DeepSeek Chat costs in practice

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

DeepSeek$0.77

100 long-document requests with 100,000 input and 2,000 output tokens each

DeepSeek$2.884

DeepSeek Chat features

Use DeepSeek Chat with LiteLLM

Call DeepSeek Chat 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.

Python SDK
from litellm import completion

response = completion(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: deepseek-chat
    litellm_params:
      model: deepseek-chat
      api_key: os.environ/DEEPSEEK_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

DeepSeek Chat FAQ

How much does DeepSeek Chat cost?

DeepSeek Chat costs $0.28 per 1M input tokens and $0.42 per 1M output tokens on DeepSeek, with cache reads at $0.028 per 1M tokens.

What is the context window of DeepSeek Chat?

DeepSeek Chat has a 131,072-token context window and returns up to 8,192 tokens per response.

Which providers offer DeepSeek Chat?

DeepSeek Chat is available from DeepSeek through LiteLLM, using the model name deepseek-chat.

How do I call DeepSeek Chat with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepseek-chat", 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 Chat support?

DeepSeek Chat supports function calling, parallel tool calls, structured output and prompt caching.

When did LiteLLM add DeepSeek Chat?

DeepSeek Chat was added to LiteLLM's model price file in May 2024.

Is DeepSeek Chat being deprecated?

DeepSeek deprecated deepseek-chat on July 24, 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: DeepSeek.

Provider pages: DeepSeek.