Chatgbot

ChatGBot's pitch is breadth on one bill, and the model roster backs it up: OpenAI GPT, Claude Sonnet, DeepSeek V3 and R1, GLM 5.2 and Qwen are named on the homepage, with 15 chat models and 10 image models advertised in total. The feature that matters most is the one most competitors don't offer — swapping models mid-thread while keeping history, so you can exploit Claude's tone on a first draft and GPT's tighter structure on the second pass without losing context. Compare Mode extends the same idea sideways: one prompt, several answers, side by side. The practical bundle is unusually wide. Image generation covers FLUX.2 Flash, Seedream 4.5, GPT Image 1 and Nano Banana among 10 models. Document chat accepts PDF, DOCX and TXT and cites the page an answer came from, which is the difference between a study aid you can trust and one you can't. Web search returns clickable sources rather than a confident guess. Canvas puts text and code side by side for line-level editing. Voice input handles the rambling-first-draft workflow in your own language. And the App Builder turns a plain-language description into a running, previewed app whose code you can export and keep. Where it earns its keep beyond a plain chatbot is the orchestration layer ChatGBot calls the G Harness. It chains tool use into a single reply (search, charts, images, documents, code), surfaces what it searched and read step by step, pauses with tap-to-answer choices instead of guessing when a request is ambiguous, and compresses older messages into notes so multi-hour sessions stay coherent. That's a real product decision, not a model choice — the same model behaves differently with and without it. Limits to weigh honestly. ChatGBot is an independent interface, not affiliated with OpenAI, Anthropic or any model owner, so the models travel with provider access and can change across plans and regions; the vendor says so plainly. Message limits on the free tier aren't disclosed on the pages we could read. If your work depends on programmatic access or a single vendor's tight ecosystem — custom GPTs, Claude Projects, connectors, enterprise controls — this is a chat app first and won't replace that depth. It fits best as the pragmatic middle: people and small teams who want several top models, image generation, document Q&A and a way to ship a small web app without holding four logins or four bills.