Ninjachat AI is a chat with images tool. NinjaChat AI bundles 50+ chat models from OpenAI, Anthropic, Google, xAI and others with an image and video studio, file-aware projects, cited web search, voice conversation and an OpenAI compatible API, all under one subscription starting at $11 per month.
NinjaChat AI is a single subscription that puts more than 50 language models behind one chat window. The roster includes GPT, Claude, Gemini, Grok, Kimi, DeepSeek, Llama, Qwen, Mistral and MiniMax, with named versions such as GPT 5.6, Claude Opus 5 and Gemini 3.1 Pro shown on the site. Instead of paying separately for each vendor, users pick a model from a menu or let the Auto option choose one, then work inside a normal conversational interface.
The product's defining idea is comparison. The same prompt can be sent to several models at once and their answers read side by side, which suits people who want a second opinion on a piece of writing, a research summary or a coding question before committing to one output. Chats are organised into projects that hold PDFs, spreadsheets, voice memos and images, so every thread in a project can refer to the same files. A live web search feature reads pages and cites its sources, and a voice mode answers spoken questions out loud across several languages and accents.
Beyond text, NinjaChat bundles a studio with 12 image models and 11 video models, including GPT Image 2, Nano Banana, Seedream, Flux, Kling and Veo. Templates cover product photos, headshots, sketch to UI, scene replacement, posters, storyboards, product videos and talking portraits, so a photo plus a template usually produces a result without prompt engineering. Developers get an OpenAI compatible API with routing and fallback controls, plus request logs showing tokens and cost.
The pitch is consolidation: the homepage compares a stack of five separate AI subscriptions at roughly $80 per month against a Starter plan at $11 per month. Privacy controls include encryption in transit and at rest, an incognito mode that skips chat history and memory, and user-managed memory. It fits individuals and small teams who touch many models in a week; anyone whose workflow depends on a single vendor's deepest integrations should check coverage first.