jishie

Embed v3 English

azure/cohere-embed-v3-english · family cohere-embed · in: text → out: text · price provider-declared (via models.dev). Capabilities: text.

$0.08
Blended $/1M (3:1)
$0.1
Input $/1M
free
Output $/1M
$0.10
1M in + 1M out
—
Cache read $/1M
#816 of 7,713
Cheapest rank
Provider
Azure (azure)
Kind
text (outputs text)
Context
512 tokens
Max output
1,024 tokens
Capabilities
text

Same model, other providers

“Embed v3 English” is offered by 2 providers — cheapest-effective first. This one (Azure) is the cheapest.

ProviderInputOutputBlendedContext
Azure (this)$0.1free$0.08512
Azure Cognitive Services$0.1free$0.08512

Call it

jishie indexes & prices models; it does not proxy inference.

Most providers are OpenAI-compatible — point base_url at Azure and pass this model id:

curl $BASE_URL/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"cohere-embed-v3-english","messages":[{"role":"user","content":"hello"}]}'

Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):

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