Cohere's Embed English Light V 3.0 is an open-source embedding model capable of generating embeddings from text inputs, with a context window of 1,024 tokens. It is particularly suited for tasks that require high-quality English language embeddings, having been trained on nearly 1 billion English training pairs.
Input
Output
Context
512
Max Output
n/a
Parameters
-
Input Modalities
Output Modalities
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Embed English Light v3.0 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.
No. Embed English Light v3.0 is a proprietary model (license: Proprietary): its weights are not distributed, and it runs only through Cohere's own API or a provider licensed to serve it.
Embed English Light v3.0 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 Embed English Light v3.0 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; Embed English Light v3.0 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.
Embed English Light v3.0 cannot be self-hosted: its weights are not distributed. It is used through an API, either Cohere's own or the Inferbase gateway where it is served.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Oct 14, 2026
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