Non sono ancora disponibili benchmark associati a questa scheda.
Esecuzione locale
Inferenza · stima della memoria
gemini-flash-experimental
Informazioni verificate sull’architettura insufficienti per una stima affidabile della VRAM.
Capacità
Input massimo
1.000.000 tokens*
Output massimo
8.192 tokens*
Modalità API
Embedding*
Configurazione di sistema
Specifiche dettagliate
Specifiche · 10 campi
input cost per character
0*Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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
0*Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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
embedding*
full_native_model_id
gemini-flash-experimental*
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
1.000.000*Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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
8.192*Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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.*