LiteLLMModels

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.

Model ID watsonx/bigscience/mt0-xxlPrices updated Checked
Input
$1.908 / 1M tokens
Output
$1.908 / 1M tokens
Context window
4,096 tokens
Max output
4,096 tokens
Providers
1
Added to LiteLLM
September 3, 2026

Mt0 Xxl pricing by provider

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

ProviderModel name in LiteLLMInputOutputContext
IBM watsonx.aiwatsonx/bigscience/mt0-xxl$1.908$1.9084K

What Mt0 Xxl costs in practice

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

IBM watsonx.ai$4.77

Mt0 Xxl features

Use Mt0 Xxl with LiteLLM

Call Mt0 Xxl 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="watsonx/bigscience/mt0-xxl",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: mt0-xxl
    litellm_params:
      model: watsonx/bigscience/mt0-xxl
      # credentials: see the provider's LiteLLM docs page
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": "mt0-xxl",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Mt0 Xxl 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.

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: IBM watsonx.ai.

Provider pages: IBM watsonx.ai.