# 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.

- Page: https://models.litellm.ai/models/chat
- LiteLLM model name: `chat-latest`
- Context window: 400,000 tokens
- Max output: 128,000 tokens
- Added to LiteLLM: August 20, 2026
- 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 |
|---|---|---|---|---|---|---|---|
| OpenAI (latest alias) | `chat-latest` | $5.00 | $30.00 | $0.50 | – | – | 400K |
| Azure OpenAI (latest alias) | `azure/chat-latest` | $5.00 | $30.00 | $0.50 | – | – | 272K |
| Microsoft 365 Copilot | `microsoft_365_copilot/chat` | $0 | $0 | – | – | – | – |

## Cost examples

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

## Features

Supported: Function calling, Parallel tool calls, Structured output, Image input, PDF input, Reasoning, Prompt caching, Web search.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="chat-latest",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## 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.

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