text-embedding-3-large Review 2026
OpenAIEmbedding Model2024-014.5/5
Overview
OpenAI's most capable text embedding model producing high-dimensional vectors for semantic search, clustering, and retrieval. Features flexible dimensionality and strong multilingual performance.
ProviderOpenAI
Context Window8K tokens
Pricing$0.13 per 1M tokens
Capabilities
- ✓ Text embedding generation
- ✓ Semantic search
- ✓ Clustering
- ✓ Classification
- ✓ Anomaly detection
- ✓ Retrieval augmentation
Pricing
$0.13 per 1M tokens
Pros & Cons
Pros
- +Flexible dimensionality reduction without significant quality loss
- +Strong multilingual embedding quality across many languages
- +Low cost per token for high-volume embedding workloads
- +Excellent performance on MTEB benchmark suite
Cons
- -8K token limit requires chunking strategies for long documents
- -Proprietary model cannot be self-hosted
- -Embedding space not compatible with other providers' models
Frequently Asked Questions
What is text-embedding-3-large?▾
OpenAI's most capable text embedding model producing high-dimensional vectors for semantic search, clustering, and retrieval. Features flexible dimensionality and strong multilingual performance.
How much does text-embedding-3-large cost?▾
text-embedding-3-large pricing: $0.13 per 1M tokens
What is the context window for text-embedding-3-large?▾
text-embedding-3-large supports a context window of 8K tokens.
When was text-embedding-3-large released?▾
text-embedding-3-large was released on 2024-01 by OpenAI.