UBC NLP
GTR-XL
Strong open-source embeddings with focus on retrieval.
High retrieval performanceOpen-sourceGood recall on various datasetsSupports longer contexts
Today's score
87.0
Where it ranks today
Best for / Not great for
Best for
- Document retrieval
- RAG systems
- Semantic search
- Information extraction
Not great for
- Zero-shot classification
- Highly specialized domains without fine-tuning
- Very low latency requirements
- Applications needing multilingual support out-of-the-box
Why it ranks here
While newer models have emerged, GTR-XL remains a solid choice for retrieval-focused tasks, offering strong open-source performance. Its effectiveness in finding relevant documents makes it suitable for RAG and search engines, though it sees less buzz than cutting-edge models.
30-day trend
Score breakdown
Search trends90
Benchmarks87
Developer buzz88
News mentions85
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Self-Hosted
Deploy and customize your own retrieval model.
Free
- Open-source
- High recall
- Customizable
- Requires self-hosting
Managed Inference
Access GTR-XL through API providers.
$0 /usage
- Scalable
- API access
- Usage-based billing