E5-Base-v2

by intfloatEmbedding

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,...

Context: 512 tokens
Max output: 460 tokens
Parameters: 0.11B total
Released: 2025-11-18
Weights: Open
Licence: mit

Feed Weights on Hugging Face

intfloat/e5-base-v2

Specifications

Full facts as recorded, incl. what is unknown.

Released: 2025-11-18
Weights: Opennot gated
License: mit
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
Weights link: Hugging Face · intfloat/e5-base-v2
Parameters: 0.11B total

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

One row per provider and variant; gateways are listed separately.

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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