Models/Text Embedding 004
GoogleGoogle / Text Embedding 004
Released: 5/14/2024
textembeddings
Input: $0.02 / Output: $0.02

Text Embedding 004 is an embeddings model that generates vector representations of text to capture semantic meaning and context. It excels in tasks such as semantic search, text classification, and clustering, making it a versatile tool for understanding text relationships.

Some noteworthy use cases of Text Embedding 004 include:

  • Semantic search for relevant content
  • Text classification to categorize documents
  • Clustering similar texts together
MetricValue
Parameter CountUnknown
Mixture of ExpertsNo
Context LengthUnknown
MultilingualYes
Quantized*Unknown

*Quantization is specific to the inference provider and may vary.

Note: While Text Embedding 004 supports multiple languages, there have been reports of identical vector outputs for certain languages, which may affect its performance in those cases.

Google models available on Oxen.ai
ModalityPrice (1M tokens)
ModelInference providerInputOutputInputOutput
Google
texttext$0.08$0.30
Google
texttext$0.04$0.15
Google
texttext$1.25$5.00
Google
text, imagetext$0.10$0.40
Google
text, imagetext$0.08$0.30
Groq
texttext$0.20$0.20
Google
textembeddings$0.02$0.02
See all models available on Oxen.ai