GeekRadar / The comparison desk
COMPARE.
AI models
Unspecified

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

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*
Tool calling
No*
Structured output
Yes*
API mode
Chat*
Image input
Yes*
Prompt caching
Yes*
System messages
Yes*
Web search
Yes*

Input modalities

  • text*
  • image*

Output modalities

  • text*
  • image*

System configuration

Detailed specifications

Specifications · 23 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.*
supported endpoints
  • /v1/chat/completions*
  • /v1/completions*
  • /v1/batch*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supported modalities
  • text*
  • image*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supported output modalities
  • text*
  • image*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supports function calling
No*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supports prompt caching
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supports response schema
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supports system messages
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supports vision
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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.*
supports web search
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
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