Sentence-Transformers

all-mpnet-base-v2

Robust, general-purpose embeddings.

Strong all-around performanceGood sentence similarityWidely adoptedOpen-source
Today's score
88.0
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Where it ranks today

Best for / Not great for

Best for
  • Semantic search
  • Clustering
  • General text similarity
  • RAG baseline
Not great for
  • Extremely niche domains without fine-tuning
  • Very limited computational resources
  • Tasks demanding state-of-the-art multilingual performance

Why it ranks here

This model remains a solid choice for many standard embedding tasks, offering a reliable open-source solution. While newer models often outperform it on specific benchmarks, its general effectiveness and ease of use keep it relevant.

30-day trend

Score breakdown

Search trends89
Benchmarks88
Developer buzz94
News mentions85

Pricing

API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo

Pricing plans

Popular
Self-Hosted
Free and open-source.
Free
  • Requires own infrastructure
  • Customizable
  • Large community support
  • Apache 2.0 License
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Managed API (via providers)
Convenient API access.
$0 /usage
  • Managed infrastructure
  • Pay-per-use
  • Scalable
  • Easy integration
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Compare with another modelHow is this score calculated? →Snapshot 2026-05-13