GeekRadar / Il banco di confronto
CONFRONTA.
Modelli IA
Unspecified

vertex_ai/deep-research-pro-preview-12-2025

Modello IA

Modalità API
Chat*
Output massimo
32.768 tokens*

Non sono ancora disponibili benchmark associati a questa scheda.

Esecuzione locale

Inferenza · stima della memoria

vertex_ai/deep-research-pro-preview-12-2025

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

Capacità

Input massimo
65.536 tokens*
Output massimo
32.768 tokens*
Modalità API
Chat*

Configurazione di sistema

Specifiche dettagliate

Specifiche · 14 campi
cache read input token cost
2,0e-7*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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.*
cache read input token cost batches
1,0e-7*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
0,0011*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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-6*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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-6*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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-language-models*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
65.536*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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 output tokens
32.768*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
32.768*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
chat*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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 image
0,134*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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 image token
0,00012*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
1,2e-5*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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 batches
6,0e-6*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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