google/gemini-embedding-001

google/gemini-embedding-001
by google
Endpoints:/v1/embeddings
Inputtext
p50 TTFT250 ms
INPUT$0.15/ 1M tokens
OUTPUT—/ 1M tokens
p50 TTFT250 ms7d
p95 TTFT267 ms7d
TRAFFIC6tokens / 7d
Get the google/gemini-embedding-001 API →▶ Try in playground</> Use via API

Code samples

Call from any SDK

OpenAI-compatible — keep the SDK you already use

  • OpenAI SDKhttps://api.orcarouter.ai/v1

Supported parameters

  • dimensions
  • task_type

Pricing

Input / 1M tokens$0.150
Output / 1M tokens—
CurrencyUSD

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $1.05

Estimate based on list price

Token & cost estimator

Input tokens: 20Cost per request: $0.000003

Estimate only — actual token counts depend on the provider's tokenizer.

Performance

last 7 days
p50 TTFT
250 ms
Output speed
Collecting…
p95 TTFT
267 ms
Error rate
0%

Public benchmarks

pending
How Design Arena works
Source: Design Arena

How it compares

google/gemini-embedding-001Gemini 3.1 Pro PreviewGemini 3.1 Pro Preview Custom ToolsGemini 3 Flash Preview
Input $/M$0.15$2.00$4.00$0.50
Output $/M—$12.00$18.00$3.00
Context—1.0M1.0M1.0M
Quality3/1010/1010/109/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

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FAQ

How much does google/gemini-embedding-001 cost on OrcaRouter?
google/gemini-embedding-001 is priced at $0.15 per 1M input tokens and $0.00 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is google/gemini-embedding-001's context window?
google/gemini-embedding-001 supports a context window of — tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call google/gemini-embedding-001 via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="google/gemini-embedding-001" in the chat.completions.create call.
Does OrcaRouter rate-limit google/gemini-embedding-001?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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Model card as data

GET /api/public/models/google/gemini-embedding-001Open
Machine-readable:/llms.txt/llms-full.txt