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Google

Google

45/100

gemini-embedding-001 text embeddings via the Gemini API.

ai.google.dev

// scorecard · 45/100

verified 1mo ago
methodology →
Agent-readiness11/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server0/9
llms.txt0/3
Reliability & performance0/15
Actively maintained
Production-ready0/4
Updated recently
Pricing12/13
Itemized public pricing6/6
Free tier / trial4/4
Free-tier generosity2/3
Docs & DX10/12
Docs quality6/8
Public API2/2
Quickstart / examples2/2
Security & compliance8/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page2/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity0/3
Company size
Years operating

// rankings · cost per standard workload

#11 in Embeddings$15/ 100M tokens

gemini-embedding-001 $0.15/1M x100 = $15/mo (batch $7.50)

ai.google.dev/pricing

// overview

Gemini Developer API provides access to models including Gemini, Imagen, Veo and Gemma for building apps via API or Google AI Studio. Supports on-device deployment with Google AI Edge, code assistance in IDEs, and responsible AI tools. Offers free tier then paid/prepaid and enterprise options with context caching and batch API.

Best for: Developers integrating Google AI models into apps and workflows

// pricing

Free tier · generosity 3/5
Includes: Limited access to certain models · Free input & output tokens · Google AI Studio access
Limits: Content used to improve products
Freefree
  • Limited model access
  • Free input/output tokens
  • Google AI Studio
Paidpay-as-you-go
  • Higher limits
  • Context caching
  • Batch API 50% off
  • Advanced models
Enterprisecustom
  • Dedicated support
  • Advanced compliance
  • Provisioned throughput

// security & compliance

SOC 2 ISO 27001 GDPR HIPAA

// features

  • Gemini API for text/image/video/generation
  • Google AI Studio for prompt eval
  • Gemma open models customization
  • Google AI Edge on-device inference
  • Code assistance in Android Studio/VS Code/Colab
  • Responsible GenAI Toolkit and SAIF