CohereMultilingual 22 12
Cohere's Multilingual 22 12 model is an open-source embedding model designed for multilingual applications. It is genuinely best at handling text from various languages, with predefined averages of characters per token for languages such as English, Spanish, and Japanese.
Input
Output
Context
512
Max Output
n/a
Parameters
-
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Frequently asked questions about Multilingual 22 12
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Multilingual 22 12 advertises a context window of 512 tokens. The figure is the creator's published maximum; a given provider may serve less, and the gateway routes on what each provider actually serves.
Yes. Multilingual 22 12 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.
Multilingual 22 12 accepts Text and produces Embedding. 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 Multilingual 22 12 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; Multilingual 22 12 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.
Cohere has not published a parameter count for Multilingual 22 12, 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, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 4, 2026
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