Mt5 Small
Mt 5 Small is a multilingual pre-trained text-to-text transformer model developed by Google, covering 101 languages through pretraining on the mC4 corpus. It is genuinely best at handling a wide range of languages, making it suitable for multilingual NLP tasks.
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Frequently asked questions about Mt5 Small
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Mt5 Small advertises a context window of 512 tokens. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Mt5 Small is an open-weight model released under the Apache 2.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Mt5 Small accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Mt5 Small is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Mt5 Small is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Google has not published a parameter count for Mt5 Small, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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