Ioni vs New API

Side-by-side comparison · Updated October 2026

 IoniIoniNew APINew API
DescriptionThe Ioni platform offers a comprehensive suite of AI tools designed to enhance customer support and boost team productivity. Key features include AI Assistant, AI Chatbot, AI Search, AI Widget Builder, Conversations Analytics, and the ability to seamlessly transition from a chatbot to a human. These tools support multiple languages, provide auto-translation, and self-learn from existing tickets. The platform integrates easily with various existing systems, ensuring that customer interactions are accurate and efficient. Ioni is powered by ChatGPT-4, optimized for generating intelligent and relevant responses using a robust Knowledge Base.New 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.
CategoryCustomer SupportDeveloper Tools
RatingNo reviewsNo reviews
PricingFreemiumOpen Source
Starting Price$49/moN/A
Plans
  • Standard Free Trial — $49/mo
  • Professional Free Trial — $149/mo
  • Enterprise Free Trial — Contact for pricing
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Use Cases
  • Customer Support Teams
  • Businesses with Multilingual Support Needs
  • Companies Needing Custom AI Solutions
  • Support Teams with High Inquiry Volumes
  • Development Teams
  • SaaS Companies
  • DevOps Engineers
  • Finance Teams
Tags
AI AssistantAI ChatbotAI SearchAI Widget BuilderConversations Analytics
AI gatewayLLM routingmodel managementrate limitingusage accounting
Features
AI Assistant
AI Chatbot
AI Search
AI Widget Builder
Conversations Analytics
Chatbot to Human
Multilingual Support
Auto-Translation
Self-learning from Existing Tickets
Customizable Chatbot
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
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