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AI models
Unspecified

vertex_ai/deep-research-pro-preview-12-2025

AI model

API mode
Chat*
Maximum output
32,768 tokens*

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

vertex_ai/deep-research-pro-preview-12-2025

Not enough verified architecture information for a reliable VRAM estimate.

Capabilities

Maximum input
65,536 tokens*
Maximum output
32,768 tokens*
API mode
Chat*

System configuration

Detailed specifications

Specifications · 14 fields
cache read input token cost
2.0e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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 batches
1.0e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
0.0011*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
2.0e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
1.0e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
65,536*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
32,768*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
32,768*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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 image
0.134*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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 image token
0.00012*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
1.2e-5*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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
6.0e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
vertex_ai/deep-research-pro-preview-12-2025*
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