bge-base-en-v1.5

by BAAI (Beijing Academy of AI)Embedding

The bge-base-en-v1.5 embedding model converts English sentences and paragraphs into 768-dimensional dense vectors, delivering efficient, high-quality semantic embeddings optimized for retrieval, semantic search, and document-matching workflows. This version (v1.5) features...

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

Weights on Hugging Face

baai/bge-base-en-v1-5 · also seen as baai/bge-base-en-v1.5-20251117

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
2 + 1 gateway, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$0.008 in per 1M tokens · 1 of 2 providers have a comparable price
More details
Last updated
—
Knowledge cutoff
Weights link
Hugging Face · BAAI/bge-base-en-v1.5
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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Price history

No change since 19 Oct 2026. The cheapest direct price has been $0.008 in / — out per 1M tokens at Together AI on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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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