# Mt0 Xxl API Pricing

As of October 10, 2026, Mt0 Xxl costs $1.908 per 1M input tokens and $1.908 per 1M output tokens on IBM watsonx.ai. It has a 4,096-token context window and returns up to 4,096 tokens per response.

- Page: https://models.litellm.ai/models/mt0-xxl
- LiteLLM model name: `watsonx/bigscience/mt0-xxl`
- Context window: 4,096 tokens
- Max output: 4,096 tokens
- Added to LiteLLM: September 3, 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 |
|---|---|---|---|---|---|---|---|
| IBM watsonx.ai | `watsonx/bigscience/mt0-xxl` | $1.908 | $1.908 | – | – | – | 4K |

## Cost examples

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

- IBM watsonx.ai: $4.77

## Features

Supported: none listed.
Not supported: Function calling, Parallel tool calls, Image input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="watsonx/bigscience/mt0-xxl",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Mt0 Xxl cost?

Mt0 Xxl costs $1.908 per 1M input tokens and $1.908 per 1M output tokens on IBM watsonx.ai.

### What is the context window of Mt0 Xxl?

Mt0 Xxl has a 4,096-token context window and returns up to 4,096 tokens per response.

### Which providers offer Mt0 Xxl?

Mt0 Xxl is available from IBM watsonx.ai through LiteLLM, using the model name watsonx/bigscience/mt0-xxl.

### How do I call Mt0 Xxl with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="watsonx/bigscience/mt0-xxl", 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 Mt0 Xxl support?

It does not support function calling, parallel tool calls and image input.

### When did LiteLLM add Mt0 Xxl?

Mt0 Xxl was added to LiteLLM's model price file on September 3, 2026.

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