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 caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: embed-english-v3.0Model ID
embed-english-v3.0Request example
Curated snippets for this provider are not sourced yet. Use Cohere API documentation with model ID
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
Multimodal
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).
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Model Specs
Released2023-11-02
Context512
ArchitectureEncoder Only