Sentence Transformers
all-MiniLM-L12-v2
The all-MiniLM-L12-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, clustering, and...
Cheapest input
$0.005
$/MTok · OpenRouter
Cheapest output
$0
$/MTok
Context
512
tokens
Sources
1
1 listing
Sources
Same model, different sources. Our first-party rate is listed first, then 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 |
|---|---|---|---|---|---|
| OpenRoutercheapestsentence-transformers/all-minilm-l12-v2 | OpenRouter | $0.005 | $0 | $0 | 512 |
Capabilities
- In: text
- Out: embeddings
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Data and list-price estimates may contain mistakes. Not investment advice.