bge-large-en-v1.5
by BAAI (Beijing Academy of AI)Embedding
The bge-large-en-v1.5 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-fidelity semantic embeddings optimized for semantic search, document retrieval, and downstream NLP tasks...
- Context
- 512 tokens
- Max output
- 460 tokens
- Parameters
- 0.34B total
- Released
- 2025-11-18
- Weights
- Open
- Licence
- mit
baai/bge-large-en-v1-5
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
- $0.01 in at OpenRouter, via gateway, fees not verified
More details
- Last updated
- —
- Knowledge cutoff
- Weights link
- Hugging Face · BAAI/bge-large-en-v1.5
- Parameters
- 0.34B 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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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