Text Multilingual Embedding 002
Text Multilingual Embedding 002 is an 18-language text embedding model achieving a 56.2% average score on the Massive Information Retrieval Across Languages (MIRACL) benchmark, designed for cross-lingual semantic search and retrieval across diverse language corpora.
index.ts
import { embed } from 'ai';
const result = await embed({ model: 'google/text-multilingual-embedding-002', value: 'Sunny day at the beach',})More models by Google
| Model |
|---|
| 1M | 2.5s | 190tps | $1.50/M | $7.50/M | Read:$0.15/M Write:— | $14/K + input costs | +3 |   | 07/21/2026 | |||
| 1M | 0.7s | 400tps | $0.30/M | $2.50/M | Read:$0.03/M Write:— | $14/K + input costs | +3 | | 07/21/2026 | |||
| 1M | 2.2s | 236tps | $1.50/M | $9/M | Read:$0.15/M Write:— | $14/K + input costs | +3 | | 05/19/2026 | |||
| 1M | 0.6s | 251tps | $0.25/M | $1.50/M | Read:$0.03/M Write:— | $14/K + input costs | +3 | | 03/03/2026 | |||
| 1M | 3.0s | 111tps | $2/M | $12/M | Read: $0.2/M Write: — | $14/K + input costs | +3 | | 02/19/2026 | |||
| 1M | 0.7s | 182tps | $0.50/M | $3/M | Read: $0.05/M Write: — | $14/K + input costs | +3 | | 12/17/2025 |