LiteLLMModels

Chat API Pricing

As of October 10, 2026, Chat costs $5.00 per 1M input tokens and $30.00 per 1M output tokens on OpenAI, with cache reads at $0.50 per 1M tokens. Across 3 providers on LiteLLM, the input price ranges from $0 to $5.00. It has a 400,000-token context window and returns up to 128,000 tokens per response.

Model ID chat-latestPrices updated Checked
Input
$5.00 / 1M tokens
Output
$30.00 / 1M tokens
Cache read
$0.50 / 1M tokens
Context window
400,000 tokens
Max output
128,000 tokens
Providers
3
Added to LiteLLM
August 20, 2026

Chat pricing by provider

3 listings across 3 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputCache readContext
OpenAIlatest aliaschat-latest$5.00$30.00$0.50400K
Azure OpenAIlatest aliasazure/chat-latest$5.00$30.00$0.50272K
Microsoft 365 Copilotmicrosoft_365_copilot/chat$0$0––

What Chat costs in practice

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

OpenAI$25.00
Microsoft 365 Copilot$0
Azure OpenAI$25.00

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

OpenAI$56.00
Microsoft 365 Copilot$0
Azure OpenAI$56.00

Chat features

Input: text, image. Output: text.

Use Chat with LiteLLM

Call 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="chat-latest",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: chat
    litellm_params:
      model: chat-latest
      api_key: os.environ/OPENAI_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": "chat",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Chat FAQ

How much does Chat cost?

Chat costs $5.00 per 1M input tokens and $30.00 per 1M output tokens on OpenAI, with cache reads at $0.50 per 1M tokens. Across 3 providers on LiteLLM, the input price ranges from $0 to $5.00.

What is the context window of Chat?

Chat has a 400,000-token context window and returns up to 128,000 tokens per response.

Which providers offer Chat?

Chat is available from 3 providers through LiteLLM: OpenAI, Azure OpenAI and Microsoft 365 Copilot. The lowest price is on Microsoft 365 Copilot.

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

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

Chat supports function calling, parallel tool calls, structured output, image input, PDF input, reasoning, prompt caching and web search.

When did LiteLLM add Chat?

Chat was added to LiteLLM's model price file on August 20, 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: OpenAI, Azure OpenAI, Microsoft 365 Copilot.

Provider pages: OpenAI, Azure OpenAI, Microsoft 365 Copilot.