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Modelli IA
Unspecified

databricks/databricks-gpt-5

Modello IA

Modalità API
Chat*
Output massimo
128.000 tokens*

Non sono ancora disponibili benchmark associati a questa scheda.

Esecuzione locale

Inferenza · stima della memoria

databricks/databricks-gpt-5

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

Capacità

Input massimo
272.000 tokens*
Output massimo
128.000 tokens*
Uso di strumenti
Sì*
Modalità API
Chat*
Cache dei prompt
Sì*
Scelta degli strumenti
Sì*

Configurazione di sistema

Specifiche dettagliate

Specifiche · 15 campi
cache creation input token cost
1,24999e-6*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
1,2502e-7*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
1,24999e-6*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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 dbu cost per token
1,7857e-5*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
databricks*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
272.000*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
128.000*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
128.000*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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.*
metadata
notes
Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation.*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
9,999990000000002e-6*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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 dbu cost per token
0,000142857*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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 prompt caching
Sì*
Ambito e condizioni
native_context
provider
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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
databricks*
mode
chat*
full_native_model_id
databricks/databricks-gpt-5*
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