Intfloat
E5-Base-v2
The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, similarity scoring,...
Cheapest input
$0.005
$/MTok · OpenRouter
Cheapest output
$0
$/MTok
Context
512
tokens
Offers
1
1 source
Offers
Same model, different listings. First-party, router, and aggregator rows stay separate so you can see the spread instead of a single blended number.
| Source | Provider | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| OpenRoutercheapestintfloat/e5-base-v2 | OpenRouter | $0.005 | $0 | $0 | 512 |
Capabilities
- In: text
- Out: embeddings