text-embedding-3-large
text-embedding-3-large produces 3072-dimensional vectors with the highest MTEB and MIRACL scores in the text-embedding-3 family, with built-in Matryoshka dimension reduction for flexible quality-storage tradeoffs in production retrieval systems.
index.ts
import { embed } from 'ai';
const result = await embed({ model: 'openai/text-embedding-3-large', value: 'Sunny day at the beach',})More models by OpenAI
| Model |
|---|
| 1.1M | 2.4s | 31tps | $1/M | $6/M | Read: $0.1/M Write: $1.25/M | $10/K + input costs | +4 |    | 07/09/2026 | |||
| 1.1M | 1.9s | 106tps | $5/M | $30/M | Read: $0.5/M Write: $6.25/M | $10/K + input costs | +4 | | 07/09/2026 | |||
| 1.1M | 2.1s | 138tps | $2.50/M | $15/M | Read: $0.25/M Write: $3.13/M | $10/K + input costs | +4 | | 07/09/2026 | |||
| 1.1M | 1.5s | 67tps | $2.50/M | $15/M | Read: $0.25/M Write: — | $10/K + input costs | +4 | | 03/05/2026 | |||
| 400K | 7.6s | 121tps | $0.05/M | $0.40/M | Read:$0.01/M Write:— | $14/K + input costs | +3 | | 08/07/2025 | |||
| 400K | 4.8s | 120tps | $0.25/M | $2/M | Read:$0.03/M Write:— | $14/K + input costs | +3 | | 08/07/2025 |