- Input
- $0.02
- Output
- $0.00
amazonListed Oct 26, 2026
Amazon: Titan Text Embeddings V2
Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 dimensions...
Context window8.2K
Max output7.4K
Provider endpoints1
Benchmark results0
Measured performance
All leaderboards ↗Benchmark results
No published results in this index yet
Scores appear here when an evaluation matches this exact model.
Access & cost
1 quotePrices across providers
Model specifications
- Developer
- amazon
- Modality
- Embedding
- Context
- 8,192 tokens
- Maximum output
- 7,372 tokens
- Weights
- Not reported
- Provider listed
- Oct 26, 2026
- First discovered
- Oct 27, 2026
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Amazon Titan Embeddings G1 - Text is the first-generation Titan text embedding model. It accepts up to 8,192 tokens per input and returns fixed 1,536-dimension vectors; the dimensions parameter is...
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