Embed v3 English
Embedding
Cohere's English embedding model. Strong retrieval quality for English-only RAG pipelines.
Embed v3 English is a embedding AI model from Cohere. It costs $0.100 per million input tokens, with a 500-token context window.
INPUT
$0.100/M
per million input tokens
OUTPUT
—
per million output tokens
CONTEXT
500
tokens
Benchmarks
No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.
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in $2.500/Mout $10.000/M
Command A
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in $2.500/Mout $10.000/M
Command R+
Previous · 128,000 ctx
in $2.500/Mout $10.000/M
Command R
Balanced · 128,000 ctx
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Multilingual · 128,000 ctx
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Frequently asked questions
How much does Embed v3 English cost?
Embed v3 English costs $0.100 per million input tokens.
What is Embed v3 English's context window?
Embed v3 English supports up to 500 tokens of context in a single request.
What is Embed v3 English best for?
Cohere's English embedding model. Strong retrieval quality for English-only RAG pipelines.
Who makes Embed v3 English?
Embed v3 English is developed and served by Cohere.