Conversational AI & Chatbots
Poe
One chat app for every major AI model
Freemium - from $19.99 per monthRuns in the cloud
Pricing
Freemium - from $19.99 per month
$19.99 per month
Platforms
Web
Hosted app
Category
Conversational AI & Chatbots
71 tools
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Last updated
Sep 30
Listing updated
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Send one prompt to GPT, Claude, and Gemini in the same interface and judge output quality before committing to a provider.
Pricing checked Sep 2026
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About Poe
Poe, from Quora, bundles many leading AI models behind one subscription: OpenAI's GPT family, Anthropic's Claude, Google's Gemini, Meta's Llama, plus image, video, and audio generators. A shared points budget replaces per-model pricing, so one month you can spend points on video generation and the next on long Claude sessions, depending on the task.
Beyond chat, Poe lets anyone build custom bots with system prompts, knowledge files, and Python endpoints, and monetize them. Model switching mid-conversation and side-by-side comparisons make it a practical sandbox for choosing models. Free users get daily points to try most features. It suits tinkerers, multi-model power users, and teams evaluating providers; heavy users of a single model may find a direct subscription cheaper per message.
- One subscription covers most frontier models, including image and video tools
- Points system flexes across tasks instead of locking you into one model
- Bot building with prompts, files, and code, plus monetization for creators
- Workable free tier with daily points
- Points economics can be worse than a direct plan if you use one model heavily
- Some provider features arrive later than in the original apps
- Rate limits and quality vary because outputs depend on upstream providers
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See categoryAssistants and answer engines built on large language models: general-purpose chat, research copilots with inline citations, and customer-support agents that resolve tickets end to end. Every listing documents model access, context limits, API availability, and pricing so you can match the tool to the workload instead of the hype.
