all-MiniLM-L6-v2

The all-MiniLM-L6-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, enabling high-quality semantic representations that are ideal for downstream tasks such as information retrieval, clustering,...

Context: 512 tokens
Max output: 460 tokens
Released: 2025-11-17
Weights: unknown

Feed

sentence-transformers/all-minilm-l6-v2

Specifications

Full facts as recorded, incl. what is unknown.

Released: 2025-11-17
Weights: unknown
Input: Text
Output: Embeddings
Context window: 512 max across endpoints
Max output: 460
Providers: 0 + 1 gateway, not counted as providers
Epoch Capabilities Index: not evaluated
Direct price range: $0.005 in at OpenRouter, via gateway, fees not verified

More details

Last updated: —
Knowledge cutoff

Capabilities

Across all endpoints: supported if any endpoint supports it.

Tool callingunknown
Parallel toolsunknown
Structured outputunknown
Reasoningunknown
Image inputunknown
PDF inputunknown
Audio inputunknown
Audio outputunknown
Video inputunknown
Prompt cachingunknown
Web searchunknown
Computer useunknown
System messagesunknown
Assistant prefillunknown
Temperatureunknown
Streamingunknown
Attachmentsunknown

Endpoints

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More from Sentence Transformers

Newest Sentence Transformers models in the catalogue. All Sentence Transformers models

Model	Released	Context	Listed price
all-MiniLM-L12-v2	2025-11-18	512	$0.005 via OpenRouter
paraphrase-MiniLM-L6-v2	2025-11-18	512	$0.005 via OpenRouter
all-mpnet-base-v2	2025-11-17	512	$0.005 via OpenRouter
Multi-QA-mpnet-base-dot-v1	2021-08-30	512	from $0.009

Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model