Embed 5 Fast
Model Information
| Slug | embed-5-fast |
|---|---|
| LLMs.txt | View |
| Release Date | October 29, 2026 New |
Organization
| Name | Cohere |
|---|---|
| Website | https://cohere.com/ |
Model Description
Embed 5 Fast is the lower-latency, cost-efficient tier of Cohere's Embed 5 family of multimodal embedding models (about 1B parameters). It embeds text, images, and interleaved text and image content into a single vector space and is suited for high-volume query embedding, agent loops, and multilingual semantic search across 100+ languages.
It shares its embedding space with Embed 5 Pro, so documents indexed with Pro can be queried with Fast. Output dimensions are selectable from 256 to 2048, and `input_type` defaults to `search_document` when not set.
It shares its embedding space with Embed 5 Pro, so documents indexed with Pro can be queried with Fast. Output dimensions are selectable from 256 to 2048, and `input_type` defaults to `search_document` when not set.
Available at 4 Providers
| Provider | Type | Model Name | Original Model | Input ($/1M) | Output ($/1M) | Free | Actions | |
|---|---|---|---|---|---|---|---|---|
|
Routstr |
P2P
|
Cohere: Embed 5 Fast
|
embed-5-fast
|
$0.07 | $0.00 | ||
|
OpenRouter |
Chat
Code
|
Embed 5 Fast
|
cohere/embed-5-fast
|
$0.08 | $0.00 | ||
|
Nous Research |
Cohere: Embed 5 Fast
|
cohere/embed-5-fast
|
$0.08 | $0.00 | |||
|
Naga |
Embed 5 Fast
|
embed-5-fast
|
- | - |