IBM watsonx exposes MT0 XXL through model ID mt0-xxl. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
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Code Examples
Pricing on IBM watsonx
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.80 |
| Output tokens | $1.80 |
Capabilities
No model capability flags are currently sourced.
About MT0 XXL
The MT0 XXL model, part of the BLOOMZ and mT0 family developed by the BigScience workshop, is a large language AI model designed for multilingual applications with zero-shot capabilities. It features 13.9 billion parameters and is built on a transformer architecture with an encoder-decoder structure. Trained with a multitask finetuning approach using the xP3 dataset, MT0 XXL excels in tasks such as translation, question answering, text generation, and summarization. Although powerful, the model's performance hinges on prompt specificity and the diversity of its training data. Running the model can be resource-intensive, which might limit its accessibility for smaller entities 1.