Last refreshed 2026-07-01. Next refresh: weekly.
Why use Cohere Embed English v3.0 on Cohere API?
Cohere API offers Cohere Embed English v3.0 with competitive pricing. Cohere is a leading enterprise AI company that specializes in developing large language models (LLMs) and Retrieval-Augmented Generation (RAG) capabilities.
Compare Cohere Embed English v3.0 across 2 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: embed-english-v3.0embed-english-v3.0Request example
embed-english-v3.0.Gotchas
- Use provider model ID "embed-english-v3.0", not the LLMReference slug "cohere-embed-english-v3-0".
Compare Cohere Embed English v3.0 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $0.10 | — |
| Cohere API | — | — |
Capabilities
About Cohere Embed English v3.0
English-only embedding model supporting text and image inputs. Produces 1024-dimensional embeddings optimized for semantic search, classification, and clustering. Supports multiple similarity metrics (Cosine, Dot Product, Euclidean Distance).
FAQ
What is the context window for Cohere Embed English v3.0 on Cohere API?
Cohere Embed English v3.0 supports a 512 token context window on Cohere API.
How does Cohere API compare to other Cohere Embed English v3.0 providers?
Cohere Embed English v3.0 is available from 2 providers. The cheapest input pricing is $0.1/1M tokens from Microsoft Foundry.
What API model ID do I use for Cohere Embed English v3.0 on Cohere API?
Use the model ID embed-english-v3.0 when calling Cohere API's API.
Who created Cohere Embed English v3.0?
Cohere Embed English v3.0 was created by Cohere as part of the Cohere Embed model family.
Is Cohere Embed English v3.0 open source?
Cohere Embed English v3.0 is not open source; the seed data lists it as proprietary.