CohereEmbed English Light v3.0 Image
Cohere's Embed English Light v3.0 Image is an embedding model that generates embeddings from text inputs. It is designed to produce vector representations of text data, which can be used in various downstream tasks.
Input
Output
Context
512
Max Output
n/a
Parameters
-
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Frequently asked questions about Embed English Light v3.0 Image
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Embed English Light v3.0 Image 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 Image 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 Image 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 Image 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 Image 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 Image 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: Nov 3, 2026
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