Non sono ancora disponibili benchmark associati a questa scheda.
Esecuzione locale
Inferenza · stima della memoria
vertex_ai/meta/llama-3.3-70b-instruct-maas
Informazioni verificate sull’architettura insufficienti per una stima affidabile della VRAM.
Capacità
Input massimo
128.000 tokens*
Output massimo
8.192 tokens*
Uso di strumenti
Sì*
Modalità API
Chat*
Scelta degli strumenti
Sì*
Modalità di input
text*
Modalità di output
text*
code*
Configurazione di sistema
Specifiche dettagliate
Specifiche · 14 campi
deprecation date
2026-10-21*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
7,2e-7*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
3,6e-7*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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-llama_models*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
128.000*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
7,2e-7*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
3,6e-7*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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.*
supported modalities
text*
Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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.*
supported output modalities
text*
code*
Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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 function calling
Sì*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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 tool choice
Sì*Ambito e condizioni
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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.*