Cohere Embed 5 Fast
Embedding model
embed-v5.0-fast
$0.08 in per 1M tokens
Multimodal embeddings for search/RAG over long docs and scanned PDFs.
Model idembed-v4.0
PricePrice not published
Checked29 September 2026
5newer embedding models since its release
2 ways to use Cohere Embed v4, with the model id each provider expects.
| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Cohere API | embed-v4.0 |
https://api.cohere.com/v2/embed |
docs.cohere.com |
| AWS Bedrock | cohere.embed-v4:0 |
docs.aws.amazon.com |
Price not published.
No price source linked. Checked 29 September 2026.
What its maker marketed at launch, and what people found later, each with its source.
Embeds text, images and mixed text/image documents such as PDFs into one vector space.
Up to 128K tokens per input; output dimension selectable 256/512/1024/1536.
Output is vectors (modality_out text used as placeholder).
curl https://api.cohere.com/v2/embed -H "Authorization: Bearer $CO_API_KEY" -H "Content-Type: application/json" \
-d '{"model":"embed-v4.0","input_type":"search_document","embedding_types":["float"],"texts":["hello world"]}'
Sources: https://docs.cohere.com/docs/models , https://docs.cohere.com/docs/cohere-embed
Not yet checked against an official source: Release month (Apr 2025) from memory, not re-verified. Pricing not verified (Cohere pricing page shows only Model Vault hourly rates).