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AI models
Unspecified

gemini-2.5-computer-use-preview-10-2025

AI model

API mode
Chat*
Maximum output
64,000 tokens*

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

gemini-2.5-computer-use-preview-10-2025

Not enough verified architecture information for a reliable VRAM estimate.

Capabilities

Maximum input
128,000 tokens*
Maximum output
64,000 tokens*
Tool calling
Yes*
API mode
Chat*
Image input
Yes*
System messages
Yes*
Tool choice
Yes*

Input modalities

  • text*
  • image*

Output modalities

  • text*

System configuration

Detailed specifications

Specifications · 16 fields
input cost per token
1.25e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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 above 200k tokens
2.5e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
gemini-2.5-computer-use-preview-10-2025*
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
128,000*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
64,000*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
64,000*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
gemini-2.5-computer-use-preview-10-2025*
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
1.0e-5*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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 above 200k tokens
1.5e-5*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
gemini-2.5-computer-use-preview-10-2025*
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*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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 computer use
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
gemini-2.5-computer-use-preview-10-2025*
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 tool choice
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-computer-use-preview-10-2025*
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
gemini-2.5-computer-use-preview-10-2025*
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