all-mpnet-base-v2

About all-mpnet-base-v2

All-MPNet is Sentence Transformers' high-quality embedding model based on MPNet architecture. The model generates strong embeddings that capture semantic meaning effectively. All-MPNet achieves competitive performance on embedding benchmarks while maintaining reasonable efficiency. It's popular for semantic search and retrieval applications. For developers seeking quality embeddings with good efficiency, All-MPNet offers balanced performance.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with all-mpnet-base-v2 API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="sentence-transformers/all-mpnet-base-v2-20251117",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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