Last refreshed 2026-07-01. Next refresh: weekly.
Why use Cohere Embed v4.0 on Cohere API?
Cohere API offers Cohere Embed v4.0 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 v4.0 across 3 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-v4.0Model ID
embed-v4.0Request example
Curated snippets for this provider are not sourced yet. Use Cohere API documentation with model ID
embed-v4.0.Gotchas
- Use provider model ID "embed-v4.0", not the LLMReference slug "cohere-embed-v4-0".
Compare Cohere Embed v4.0 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $0.12 | — |
| Vercel AI Gateway | $0.12 | — |
| Cohere API | — | — |
Capabilities
Multimodal
About Cohere Embed v4.0
Latest multimodal embedding model supporting text, images, and mixed content (e.g., PDFs). Embed v4.0 offers variable embedding dimensions (256, 512, 1024, 1536 default) and supports multiple similarity metrics (Cosine, Dot Product, Euclidean Distance). Ideal for semantic search, classification, and clustering across multimodal data.
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Model Specs
Released2025-04-01
Context128k
ArchitectureEncoder Only