Mt0 Xxl 13B API Pricing
As of October 10, 2026, Mt0 Xxl 13B 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.
- 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
- October 2025
Mt0 Xxl 13B 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.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| IBM watsonx.ai | watsonx/bigscience/mt0-xxl-13b | $1.908 | $1.908 | 4K |
What Mt0 Xxl 13B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| IBM watsonx.ai | $4.77 |
Mt0 Xxl 13B features
- Function calling
- Parallel tool calls
- Image input
Use Mt0 Xxl 13B with LiteLLM
Call Mt0 Xxl 13B 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.
from litellm import completion
response = completion(
model="watsonx/bigscience/mt0-xxl-13b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: mt0-xxl-13b
litellm_params:
model: watsonx/bigscience/mt0-xxl-13b
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "mt0-xxl-13b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Mt0 Xxl 13B FAQ
How much does Mt0 Xxl 13B cost?
Mt0 Xxl 13B 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 13B?
Mt0 Xxl 13B has a 4,096-token context window and returns up to 4,096 tokens per response.
Which providers offer Mt0 Xxl 13B?
Mt0 Xxl 13B is available from IBM watsonx.ai through LiteLLM, using the model name watsonx/bigscience/mt0-xxl-13b.
How do I call Mt0 Xxl 13B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="watsonx/bigscience/mt0-xxl-13b", 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 13B support?
It does not support function calling, parallel tool calls and image input.
When did LiteLLM add Mt0 Xxl 13B?
Mt0 Xxl 13B was added to LiteLLM's model price file in October 2025.
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.
