you.bot

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About This Site

you.bot is a multi-model AI API gateway that runs the same top AI models for up to 46% less than the official APIs — from just $0.005 per call. Integrate once and call any of 70+ models — LLMs (Claude, GPT, Gemini), image (GPT Image 2, Nano Banana Pro, Flux), video (Kling, Seedance, Veo, Gemini Omni) and music (Suno) — by changing a single model id, all billed from one prepaid credit wallet. Your real cost drops even further because you only pay for successful generations (failed, errored or empty results are auto-refunded) and credits never expire. Every model has an in-browser playground so you can test before writing code, and a multi-provider backend with fallback routing targets 99.9% uptime. Start free — free credits on signup, no card required. The same AI models for up to 46% less. you.bot is one API for 70+ LLM, image, video and music models — Claude, GPT, Gemini, Kling, Seedance, Veo, GPT Image 2, Nano Banana Pro, Suno and more — with most priced up to 46% below the official APIs, from $0.005 per call. Bill everything from one prepaid wallet where credits never expire, and pay only for successful calls (failed runs are refunded automatically). Free credits on signup, no credit card required.

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Key Features AI

Core Features
70+ AI models across LLM, image, video and music behind one endpoint
Up to 46% cheaper than official APIs (from $0.005 per call)
Pay only for successful calls — failed, errored or empty runs auto-refunded
Credits never expire — one prepaid wallet shared across all models
Free credits on signup — no credit card required
In-browser playground on every model page, plus async webhook/poll flow with multi-provider fallback routing (99.9% uptime target)
Advantages
Access to 70+ models in one place
Cheaper than many official APIs
No charge for failed tasks
Credits never expire
Supports webhook callbacks and polling
Useful usage logs and task history
缺点:Requires API integration and backend setup
缺点:Async task flow may be less convenient than instant responses
缺点:Pricing varies by model, modality, and output size
缺点:Some models are billed per second or per token, which can be harder to estimate

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