GeekRadar / The comparison desk
COMPARE.
AI models
Unspecified

multimodalembedding@001

AI model

API mode
Embeddings*

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

multimodalembedding@001

Not enough verified architecture information for a reliable VRAM estimate.

Capabilities

Maximum input
2,048 tokens*
API mode
Embeddings*

Input modalities

  • text*
  • image*
  • video*

System configuration

Detailed specifications

Specifications · 15 fields
deprecation date
2027-04-01*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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 character
2.0e-7*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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
0.0001*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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
8.0e-7*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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 video per second
0.0005*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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 video per second above 15s interval
0.002*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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 video per second above 8s interval
0.001*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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-embedding-models*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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
2,048*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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
2,048*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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
768*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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 endpoints
  • /v1/embeddings*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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*
  • image*
  • video*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
multimodalembedding@001*
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.*

* Provisional data