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Inference · memory estimate
gemini-flash-experimental
Not enough verified architecture information for a reliable VRAM estimate.
Capabilities
Maximum input
1,000,000 tokens*
Maximum output
8,192 tokens*
API mode
Embeddings*
System configuration
Detailed specifications
Specifications · 10 fields
input cost per character
0*Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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*Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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
embedding*
full_native_model_id
gemini-flash-experimental*
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
1,000,000*Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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
8,192*Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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
8,192*Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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
3,072*Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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.*
uses embed content
Yes*Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
embedding*
full_native_model_id
gemini-flash-experimental*
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.*