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 | 2.4s | 178tps | $1.50/M | $9.00/M | Read:$0.15/M Write:— | $14.00/K + input costs | — | +4 |   | 05/19/2026 | |||
| 1M | 0.4s | 220tps | $0.25/M | $1.50/M | Read:$0.03/M Write:— | $14.00/K + input costs | — | +4 | | 03/03/2026 | |||
| 1M | 6.7s | 104tps | $2.00/M | $12.00/M | Read: $0.2/M Write: — | $14.00/K + input costs | — | +4 | | 02/19/2026 | |||
| 1M | 0.7s | 161tps | $0.50/M | $3.00/M | Read: $0.05/M Write: — | $14.00/K + input costs | — | +4 | | 12/17/2025 | |||
| 1M | 0.4s | 218tps | $0.10/M | $0.40/M | Read:$0.01/M Write:— | $35.00/K + input costs | — | +4 | | 06/17/2025 | |||
| 1M | 0.3s | 196tps | $0.30/M | $2.50/M | Read:$0.03/M Write:— | $35.00/K + input costs | — | +4 | | 03/20/2025 |