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google

Gemini Embedding 001

AI model Released

API mode
Embeddings*
Context window
2,048 tokens
Maximum output
1 tokens
Open weights
No

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

Gemini Embedding 001

Closed weights. No supported local deployment or GPU requirement is published.

API cost

USD / month

Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.

Gemini Embedding 001

Capabilities

Context window
2,048 tokens
Maximum input
2,048 tokens*
Maximum output
1 tokens
Reasoning
No
Tool calling
No
Open weights
No
Knowledge cutoff
2025-05
API mode
Embeddings*

Input modalities

  • text

Output modalities

  • text

System configuration

Detailed specifications

Specifications · 9 fields
deprecation date
2028-05-20*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-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
1.5e-7*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-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 batches
1.2e-7*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-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
gemini-embedding-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
gemini-embedding-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
gemini-embedding-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
gemini-embedding-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
gemini-embedding-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
3,072*
Scope and conditions
native_context
provider
vertex_ai-embedding-models*
mode
embedding*
full_native_model_id
gemini-embedding-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