New API vs Quizgecko

Side-by-side comparison · Updated October 2026

 New APINew APIQuizgeckoQuizgecko
DescriptionNew API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents.Quizgecko turns source material such as notes, PDFs, slides and web links into study courses with quizzes, flashcards, notes and audio reviews. It is useful when you already have material to study and want practice questions or another way to revisit it. The service is operated by Version Zero Limited, trading as Quizgecko. Start with a focused source, inspect the generated questions and answers, and compare them with the original before studying or sharing the result. Practice results can help you identify areas to revisit, while mobile access supports review away from a desktop. Generated questions can omit context or contain errors; they do not establish mastery on their own. The current plans are Free, Plus and Ultra. The free tier has limited course creation and one podcast per month. Plus lists 20 AI courses and 30 podcasts per month, with up to 75,000 source tokens and one file per course. Ultra lists unlimited AI courses subject to service terms, 75 podcasts per month, up to 150,000 tokens and five files per course, plus LMS export. In the Canadian-dollar pricing view, Plus is CA$22 per month or CA$132 billed yearly; Ultra is CA$39 per month or CA$372 billed yearly. Paid prices are localized and can differ by region, billing period, platform or promotion. Compare the amount and currency shown in your selected checkout rather than applying a headline promotion to every plan. The plan FAQ says a trial converts to a paid subscription unless canceled before it ends. Compare StudyMonkey for direct question explanations or Khanmigo for guided tutoring and parent or teacher workflows.
CategoryDeveloper ToolsEducation
RatingNo reviewsNo reviews
PricingOpen SourceFreemium
Starting PriceN/AFree
Plans—
  • Free — Free
  • Plus (CAD) — CA$22/mo
  • Plus Annual (CAD) — CA$132/yr
  • Ultra (CAD) — CA$39/mo
  • Ultra Annual (CAD) — CA$372/yr
Use Cases
  • Development Teams
  • SaaS Companies
  • DevOps Engineers
  • Finance Teams
  • Students
  • Educators
  • Businesses
  • Mobile learners
Tags
AI gatewayLLM routingmodel managementrate limitingusage accounting
AI quiz generatorflashcardsstudy notesstudy podcastsexam revision
Features
Self-hosted AI gateway and model management
Provider channels, token groups and model restrictions
OpenAI-compatible, Claude Messages and Gemini format support
Documented limits on protocol conversion
Weighted channel selection and failure retries
User-level model rate limiting
Request, usage and cache-hit cost accounting
Docker Compose deployment documentation
Study courses from notes, PDFs, slides and web links
AI quizzes and flashcards
Study notes and audio reviews
Practice results for identifying topics to revisit
Mobile study access
Plan-specific source-file and token limits
LMS export listed on Ultra
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