OpenAI
text-embedding-3-large
State-of-the-art general-purpose embeddings for broad semantic understanding.
High accuracy across diverse tasksExcellent for general semantic searchSupports dimensionality reduction
Today's score
97.0
Where it ranks today
Best for / Not great for
Best for
- General knowledge semantic search
- Content-based recommendation systems
- Advanced RAG implementations
- Zero-shot classification
Not great for
- Highly specialized niche domains without fine-tuning
- Real-time, extremely low-latency applications
- On-premise deployments requiring unique hardware
Why it ranks here
OpenAI's latest embedding model continues to lead due to its exceptional performance across a wide range of benchmarks and its strong adoption in RAG systems. Its ability to abstract complex semantic relationships makes it a go-to choice for developers building sophisticated search and retrieval applications.
30-day trend
Score breakdown
Search trends98
Benchmarks97
Developer buzz96
News mentions97
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Pay-as-you-go
Flexible pricing based on usage.
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