OpenAI

OpenAI text-embedding-3-large

State-of-the-art embeddings with high dimensionality and performance.

Excellent general-purpose performanceHighly scalable via APIStrong recall and precisionAdjustable dimensions

Where it ranks today

Best for / Not great for

Best for
  • General semantic search
  • Chatbots and virtual assistants
  • Content recommendation systems
  • Anomaly detection
Not great for
  • Highly specialized domain embeddings without fine-tuning
  • Applications needing extremely small model footprint
  • Cost-sensitive small-scale projects

Why it ranks here

OpenAI's embedding model remains a top contender, offering impressive performance and scalability. Its flexibility in dimension size and consistent updates keep it highly relevant for a broad range of search and RAG applications, though it sometimes trails slightly behind specialized models.

30-day trend

Score breakdown

Search trends95
Benchmarks96
Developer buzz97
News mentions95

Pricing

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

Pricing plans

Popular
Pay-as-you-go
Flexible pricing for all usage levels
$0.02 /usage
  • Per million tokens pricing
  • Access to latest models
  • Standard API support
  • Adjustable dimensions
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Volume Discounts
Reduced rates for high-volume users
$0.01 /usage
  • Tiered pricing
  • Increased throughput
  • Priority support
  • All features of Pay-as-you-go
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Compare with another modelHow is this score calculated? →Snapshot 2026-08-03