Facebook AI
XLM-R-base
A powerful multilingual model for cross-lingual understanding.
Excellent multilingual performanceStrong representation across 100 languagGood for cross-lingual tasksFoundation for many NLP tasks
Today's score
87.0
Where it ranks today
Best for / Not great for
Best for
- Cross-lingual information retrieval
- Multilingual RAG
- Zero-shot cross-lingual classification
- Analyzing multilingual text data
Not great for
- Single-language, high-performance Korean embedding
- Tasks requiring extremely lightweight models
- Users needing only English embeddings
Why it ranks here
XLM-RoBERTa (XLM-R) remains a vital tool for multilingual NLP tasks. Its ability to generate robust embeddings across a vast number of languages makes it indispensable for applications dealing with diverse linguistic datasets, particularly in cross-lingual retrieval and RAG systems.
30-day trend
Score breakdown
Search trends88
Benchmarks87
Developer buzz91
News mentions86
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Open Source
Free for all uses.
Free
- Downloadable model weights
- Supports 100 languages
- Self-hosting
- Community support
Managed Inference (via platforms)
Easy API access.
$0 /usage
- Scalable Inference API
- Pay-per-token
- Fast deployment