Helsinki-NLP / yoink

GTE-large

Efficient and multilingual embeddings from open-source efforts.

Strong multilingual capabilitiesGood performance for its sizeOpen-sourceActive development
Today's score
83.0
Try GTE-large

Where it ranks today

Best for / Not great for

Best for
  • Multilingual search
  • Cross-lingual information retrieval
  • RAG on diverse language datasets
  • Open-source projects
Not great for
  • Purely English-dominant tasks where specialized models excel
  • Extremely large-scale, high-throughput enterprise needs
  • Users seeking managed commercial APIs

Why it ranks here

GTE-large is a notable open-source model praised for its multilingual performance and efficiency. It's a strong choice for developers working with diverse language data or building RAG systems that need to span multiple languages effectively.

30-day trend

Score breakdown

Search trends84
Benchmarks83
Developer buzz85
News mentions82

Pricing

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

Pricing plans

Popular
Open Source
Multilingual embeddings, free to use.
Free
  • Supports many languages
  • Good performance/size ratio
  • Requires self-hosting
  • Community maintained
Get model
Compare with another modelHow is this score calculated? →Snapshot 2026-09-07