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CONFRONTA.

Modelli IA

Unspecified

vertex_ai/gemini-embedding-2-preview

Modello IA

Modalità API: Embedding^*

Non sono ancora disponibili benchmark associati a questa scheda.

Esecuzione locale

Inferenza · stima della memoria

vertex_ai/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 · 16 campi

input cost per audio token

6,5e-6^*

Ambito e condizioni

native_context

provider: vertex_ai^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*

Ambito e condizioni

native_context

provider: vertex_ai^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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.^*

supports multimodal

Sì^*

Ambito e condizioni

native_context

provider: vertex_ai^*
mode: embedding^*
full_native_model_id: vertex_ai/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^*
mode: embedding^*
full_native_model_id: vertex_ai/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