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Modelli IA
Unspecified

gemini-embedding-2-preview

Modello IA

Modalità API
Embedding*

Non sono ancora disponibili benchmark associati a questa scheda.

Esecuzione locale

Inferenza · stima della memoria

gemini-embedding-2-preview

Informazioni verificate sull’architettura insufficienti per una stima affidabile della VRAM.

Capacità

Input massimo
8.192 tokens*
Modalità API
Embedding*

Configurazione di sistema

Specifiche dettagliate

Specifiche · 15 campi
input cost per audio token
6,5e-6*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per audio token batches
3,25e-6*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per image token
4,5e-7*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per image token batches
2,25e-7*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
2,0e-7*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token batches
1,0e-7*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per video token
1,2e-5*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per video token batches
6,0e-6*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
vertex_ai-embedding-models*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
8.192*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
8.192*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
embedding*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
0*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output vector size
3.072*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
uses embed content
Sì*
Ambito e condizioni
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-2-preview*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*

* Dati provvisori