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Gemini Embedding 001

ZDRAvailable Serverless
Google•

Google high-dimensional embedding model optimized for semantic search and Retrieval-Augmented Generation (RAG).

Capabilities:Semantic searchRAG retrievalCode and text
Modalities
Input / Output Price
$0.02/$0.00/ 1M
Context Length
2K tokens
Released
May 14, 2024

Providers

Different companies host the same model. DOS.AI routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Reasoning effortⓘAll
ProviderInput /1MOutput /1M
Latency
ThroughputUptimeContextRetention
Google
$0.02$0.00---2KNot retainedZDR

Pricing

Rates from the DOS.AI catalog for the billing units shown. Caching and provider discounts mean the price actually paid is often below the listed one.

Weighted Averagei
Weighted Avg Input Price
$0.02/ 1M tokens
Equal to list price
Weighted Avg Output Price
$0.00/ 1M tokens
Equal to list price
Price History1 verified endpoints
Weighted Average($0.02)
$0.00$0.01$0.02$0.0230d ago24d ago18d ago12d ago6d agoToday
Provider↕
Effective in /M↕
Effective out /M↕
Cache read /M↕
Latency↕
Throughput↕
Uptime↕
Savings↕
Google
$0.02
$0.00-----
Based on settled billing for the last 30d.Effective pricing represents the average price paid for requests to this endpoint, factoring in caching, discounts, and tiered pricing. Listed pricing shows the posted provider list prices.

Observed reliability

Success rate across observed provider requests. This is historical sample data, not live health or an uptime guarantee.

Not enough observations

Last 7 days

There are not enough valid request observations to report a success rate.

Benchmarks

Dated third-party measurements with source links.

No verified benchmark snapshot is available for this model.

API Integration

Use the DOS API to integrate Gemini Embedding 001 into your applications. Compatible with standard OpenAI SDKs for easy drop-in migration.

</>Run inference
curl https://api.dos.ai/v1/embeddings \
  -H "Authorization: Bearer $DOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-embedding-001",
    "input": ["Text to embed"],
    "encoding_format": "float"
  }'