ToolPicker
Google Gemini Flash (translation)

Google Gemini Flash (translation)

55/100

LLM translation via Gemini Flash; per-token, no dedicated MT endpoint.

ai.google.dev

// scorecard · 55/100

verified 1mo ago
methodology →
Agent-readiness20/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server9/9
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 & DX9/12
Docs quality5/8
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 maturity2/3
Company size2/2
Years operating—

// rankings · cost per standard workload

#8 in Translationnot comparable

LLM row: $0.30/1M in + $2.50/1M out tokens; char→token + output-length assumptions too strong to rank (~$0.70/mo illustrative)

ai.google.dev/gemini-api/docs/pricing

// overview

Gemini API provides access to Google's Gemini models including Gemini 3.5 Flash for multimodal tasks like text, image, video generation and understanding. It supports agent building, tool use like Google Search, function calling, and live API features. Recommended for new projects using the Interactions API optimized for agentic workflows.

Best for: Developers building production AI applications with Gemini models

// pricing

Free tier · generosity 3/5
Includes: limited model access · free input/output tokens
Limits: rate limits on searches
Freefree
  • limited model access
  • free input/output tokens
  • Google AI Studio access
Paidpay-as-you-go
  • higher rate limits
  • context caching
  • Batch API
  • advanced models
Enterprisecustom
  • dedicated support
  • advanced security
  • committed throughput

// security & compliance

✓ SOC 2✗ ISO 27001✗ GDPR✗ HIPAA

// features

  • Multimodal input/output (text, image, video, audio)
  • Agent creation and management
  • Tool integration (Google Search, code execution)
  • Function calling and structured outputs
  • Long context and context caching
  • Live translation and real-time capabilities