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.*