Openchat

OpenChat's pitch is consolidation. Most people comparing AI tools end up paying for two or three subscriptions and still toggling between tabs; OpenChat collapses that into one app where GPT, Claude, Gemini and Llama sit behind the same input box. That matters most in the moments where model choice is genuinely uncertain — checking which model writes a cleaner cover letter, which one handles a coding question, which one gives a more useful career answer. The image side works the same way: DALL·E and Stable Diffusion are reachable from the same session, so a copy draft and a concept image can come out of one sitting. The supporting details are consumer-app details, and that is the point. Jarvisy reports 600K+ installations, 4,000+ paid users and a 4.7 rating across 17K App Store reviews, with users in 100+ countries — signals of a polished mobile experience rather than a developer tool. Conversational memory carries across sessions and the app adjusts to your tone and preferred response depth, which is what keeps a general assistant from feeling like a fresh start every morning. Web and mobile both work, so a conversation started on a phone continues on a laptop. The limits are structural, not accidental. Nothing in the public material describes an API, SDK or embedding path, so developers should look elsewhere. Nothing describes admin controls, audit logs or data-residency options, so IT buyers have no procurement story here. And nothing describes rate limits, context window or feature gating — the sort of specifics that only show up once you are inside the product. Buy OpenChat for yourself or your team as a personal assistant; do not buy it expecting an AI platform.