gemini-embedding-001Compare gemini-embedding-001 API pricing, supported endpoints, capabilities and access options on Modelsell.
SentencePiece (Gemini)Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Gemini Embedding 001
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Compare gemini-embedding-001 API pricing, supported endpoints, capabilities and access options on Modelsell.
Starting points for evaluation; supported inputs and options are listed in API access.
Check whether the endpoint returns embeddings or reranks documents. Keep indexing and query preprocessing consistent.
Use the linked documentation for model-specific request parameters and examples.
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| default | Unlimited | Unlimited | Unlimited |
| Google AI Studio | Unlimited | Unlimited | Unlimited |
| Google Vertex | Unlimited | Unlimited | Unlimited |
No restriction
Compare gemini-embedding-001 API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to gemini-embedding-001, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
The model catalog lists a context window of 2048 tokens. Check the selected endpoint for request limits.
Check whether the endpoint returns embeddings or reranks documents. Keep indexing and query preprocessing consistent.
