all-mpnet-base-v2
by Sentence TransformersEmbedding
The all-mpnet-base-v2 embedding model encodes sentences and short paragraphs into a 768-dimensional dense vector space, providing high-fidelity semantic embeddings well suited for tasks like information retrieval, clustering, similarity scoring, and...
- Context
- 512 tokens
- Max output
- 460 tokens
- Parameters
- 0.11B total
- Released
- 2025-11-17
- Weights
- Open
- Licence
- apache-2.0
sentence-transformers/all-mpnet-base-v2
Specifications
Full facts as recorded, incl. what is unknown.
- Released
- 2025-11-17
- Weights
- Opennot gated
- License
- apache-2.0
- 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 · sentence-transformers/all-mpnet-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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Cost calculator
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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-MiniLM-L6-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