SageGate vs noni

Stop paying $20/month for each AI subscription. SageGate connects you directly to 20+ AI providers through one beautiful app — and you only pay for what you actually use. HOW IT WORKS Connect your own API keys and pay per conversation instead of $20/month per service. Many users spend under $5/month for heavier usage than any single subscription offers. SageGate shows you exactly what each message costs — no surprises, no waste. YOUR DATA STAYS YOURS The free app has no accounts, no sign-ups, and no servers of ours. Your conversations live only on your device or your personal iCloud. Your API keys are stored in the iOS Keychain, and you can lock the whole app behind Face ID. Chats run over Apple's encrypted networking (TLS) straight to the provider you chose — SageGate is never in the connection, so we can't read or decode them. We never see your messages. Period. 20+ AI PROVIDERS, 40+ MODELS IN ONE PLACE Claude, GPT, Gemini, Grok, DeepSeek, Qwen, Kimi, GLM, DouBao, ERNIE, HunYuan, MiniMax, Yi, Spark and more — plus Claude and Amazon Nova models through Amazon Bedrock on your own AWS. Ask ChatGPT for writing, switch to Claude for code, then check with Gemini — all in one thread. Three of the providers are aggregators (OpenRouter, Together AI, SiliconFlow) you can point at your own models, and any provider can use a custom API endpoint of your own. ONE KNOWLEDGE BASE ACROSS EVERY MODEL (SAGEGATE CLOUD — OPTIONAL) Your documents shouldn't be trapped inside one AI. SageGate Cloud gives you your own private vector database that every model can search — pulling back only what's relevant. Switch models and they all reach the same knowledge; nothing is siloed. Upload from your iPhone, or from any browser at portal.sagegate.ai. Upgrade only if you want the shared cloud brain. Still no accounts: - T4 Managed Cloud ($19.99/mo) — we host your encrypted vault; zero setup. - T3 Private Cloud ($5.99/mo) — your documents live in your own AWS. We handle only the transport — converting to Markdown, chunking, embedding, ingesting and retrieval all run transiently in our pipeline — and we keep nothing on our side. - T2 Self-Host ($1.99/mo) — your AWS only, extracted on your device; we never touch a byte. The app itself stays completely free — and giving back is built in: 10% of every App Store purchase goes to 501(c)(3) animal-welfare nonprofits (records published at sagegate.ai). SEE WHAT YOU SPEND Every message shows exactly how many tokens were used and what it cost. Daily, weekly, and monthly dashboards break down spending by provider. Think of it as a budgeting app for your AI usage. AUTOMATE YOUR BUSYWORK Set up Skills — reusable prompt templates for tasks you do every day, like summarizing emails or translating documents. Schedule tasks to run automatically when you open the app. BRING YOUR OWN FILES Drop PDFs, Word docs, spreadsheets, or presentations into the app. SageGate reads them on-device and lets any AI answer questions about them. Stay fully local for free, or add SageGate Cloud to index them for search. Drag files into iCloud Drive from your Mac and they appear instantly. REMEMBER WHAT MATTERS Tap "Remember" on any helpful AI response. That knowledge carries across every future conversation with every provider — your personal AI memory that grows with you. RUN AI ON YOUR OWN COMPUTER Connect to local models on your Mac — for work that should never touch the internet — through LM Studio, oMLX, Llama.cpp, and similar tools. WORKS IN YOUR LANGUAGE Full support for 13 languages: English, Simplified & Traditional Chinese, Japanese, Korean, German, Spanish, French, Italian, Portuguese, Russian, Hindi, and Indonesian. ADDITIONAL FEATURES - Watch AI models "think" in real-time with visible reasoning streams - Export any AI response as a formatted PDF with one tap - Organize chats with folders, pins, search, and smart sorting - Full VoiceOver accessibility support, light & dark mode

noni is a team of small AI models that live on your iPhone. Instead of one giant model in the cloud, noni orchestrates several small open-weight language models locally: a tiny router reads each request and hands it to the right specialist - general chat, coding, or writing. Nothing you type ever leaves your phone. PRIVATE BY ARCHITECTURE • zero data collection - no account, no analytics, no tracking • conversations are stored only on your device • the network is used for one thing: downloading model weights from Hugging Face • after a model is downloaded, it works in airplane mode A TEAM, NOT A SINGLE MODEL • auto - a 0.6B router classifies each request and picks the specialist • solo - pin any downloaded model and talk to it directly • relay - pipelines like draft → polish, one model refining another's work • council - two models answer, a third merges the best of both BUILT FOR IPHONE • Apple's MLX framework with 4-bit quantized models and streaming replies • markdown rendering with copyable code cards • background, resumable model downloads • automatic conversation titles, edit & resend, regenerate • a strict black-and-white design: no clutter, no color, no distractions MODELS & SIZES (download only what you need) • qwen3 0.6b - router and quick chat, ~350 MB • llama 3.2 1b - everyday general model, ~710 MB • gemma 3 1b - rewriting and summarizing, ~770 MB • qwen2.5 coder 1.5b - writes and explains code, ~880 MB • qwen3 1.7b - stronger generalist for recent iPhones, ~980 MB • llama 3.2 3b - the most capable, for high-memory iPhones, ~1.8 GB The starter pack (router + general model) is about 1.1 GB. Models are free, open-weight, and hosted on Hugging Face. HONEST EXPECTATIONS Small local models are fast, private, and surprisingly capable for everyday questions, quick code snippets, and rewrites - but they are not cloud giants. Expect roughly 10-30 tokens per second on recent iPhones, and occasional mistakes. That is the trade for total privacy, zero cost, and offline use. Requires an iPhone with iOS 17 or later. On older or lower-memory devices, stick to the smaller models; the library labels which models want a high-memory iPhone. Built with Llama. Qwen models are Apache-2.0 by Alibaba Cloud; Gemma is provided under Google's Gemma Terms of Use; inference runs on Apple's open-source MLX.