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Inference · memory estimate
vertex_ai/semantic-ranker-default-003
Not enough verified architecture information for a reliable VRAM estimate.
Capabilities
API mode
Reranking*
System configuration
Detailed specifications
Specifications · 5 fields
input cost per query
0.001*Scope and conditions
native_context
provider
vertex_ai*
mode
rerank*
full_native_model_id
vertex_ai/semantic-ranker-default-003*
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
0.0*Scope and conditions
native_context
provider
vertex_ai*
mode
rerank*
full_native_model_id
vertex_ai/semantic-ranker-default-003*
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*Scope and conditions
native_context
provider
vertex_ai*
mode
rerank*
full_native_model_id
vertex_ai/semantic-ranker-default-003*
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
rerank*Scope and conditions
native_context
provider
vertex_ai*
mode
rerank*
full_native_model_id
vertex_ai/semantic-ranker-default-003*
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
0.0*Scope and conditions
native_context
provider
vertex_ai*
mode
rerank*
full_native_model_id
vertex_ai/semantic-ranker-default-003*
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.*