Poe

s, you pay Quora once and get metered access to a long catalogue of those same models from a single interface. That catalogue covers the major frontier text models (GPT-5.5, Claude family, Gemini family), open-weights and lower-cost alternatives (Llama, Mistral), image and video models (Sora-2 and Veo-3.1 are the current headline pair on the multimodal side), and a long tail of community-built bots that wrap any of these models with custom instructions, knowledge, and persona. On top of that catalogue sits the Poe Apps layer, which lets creators stitch multiple bots and user inputs into a product-shaped experience, and a group-chat mode where several AI participants share one conversation thread. Poe is web-first at poe.com and ships as native iOS and Android apps with a shared account. The web client is the most feature-complete; mobile is good enough for everyday chat and image generation but slightly behind on advanced bot configuration. There is no desktop app per se — the web app is fast enough that most desktop users live in a browser tab. Quora's role as the parent company shows up mainly in the polish of the interface and the consumer-grade onboarding; Poe does not try to be a developer-grade router (that is OpenRouter's territory) and does not try to be a workplace agent (that is ChatGPT Team / Claude for Work / Microsoft Copilot territory). It is squarely positioned at people who want one place to chat with several frontier models without juggling subscriptions. The trade-off is honest. Frontier model access at consumer prices is hard to deliver, which is why Poe meters in compute points rather than unlimited messages. The exact cost-per-message varies model by model, and the most expensive models can burn through a daily budget in a handful of long prompts. Some subscribers find the per-point overhead acceptable as the cost of breadth; others — particularly heavy daily users of a single model — eventually decide they would rather pay that model maker directly and accept losing the other models. Both reactions appear in Trustpilot reviews and on r/poe_platform, and which side a given user ends up on depends largely on whether they truly use multiple frontier models or only think they would.

Once you are in, the home screen offers a recommended set of bots and the main composer at the bottom; the bot picker on the composer is where you choose between models. The default selection is usually a small fast model so a first message returns quickly even on the free tier, but the picker lets you switch in one click — type a query, swap to GPT-5.5 or Claude, and resend if you want a stronger answer. Each model shows its per-message point cost next to the name, so you can see what a reply will spend before you send it. Your first chat does not need any configuration. Pick a question — a coding task, a long-form draft, an image prompt — open the bot picker, pick a model that fits, and send. The reply streams in the same chat window. From there, a few practical habits speed things up. First, use the per-message bot picker rather than switching defaults: starting a long Claude conversation just for one task and then going back to a cheaper model for casual chat is more efficient than running everything on the most expensive option. Second, treat image and video generations as a separate budget category — they cost roughly an order of magnitude more points than a text reply, so the daily point cost can move very quickly if you generate a sequence of them. Third, look at the points-remaining counter once a day; on paid tiers it resets every 24 hours, and the gap between "I am running low" and "I have no compute left" is sometimes just one expensive reply. If you want to build something more than a chat, the bot creator is the next stop. From the side menu choose "Create bot": pick the underlying model, write a system prompt, optionally attach a knowledge source, give the bot a public handle, and ship. The bot is private by default and can be published publicly when you are ready. The Apps layer extends this by letting you compose multiple bots, add user input forms, and create a directed flow — the practical example is a "scriptwriter that asks for a genre, drafts a logline with GPT-5.5, then asks Claude to critique it, then renders a key frame with Sora-2." For an account that is just looking to chat, none of this is necessary; for a creator, it is the biggest reason to stay inside Poe rather than going direct.

i (the current frontier and a value tier), Meta Llama in both small and large sizes, and Mistral. On the multimodal side, Sora-2 covers short video and image generation alongside OpenAI's text-to-image, and Veo-3.1 covers Google's video pipeline; community-built bots add long-tail variations on each of these. The catalogue rotates as new model versions ship — the typical pattern is that a frontier model lands on Poe within a few days of public availability, sometimes sooner via Quora's relationships with the model makers. The metering is in compute points. Each per-message cost is published in the picker, and the headline distinction is between "small fast" models (a few points per reply), "frontier text" models (tens of points), and "frontier multimodal" generation (hundreds of points for an image, more for video). Paid tiers grant a daily budget that resets every 24 hours; points do not roll over between days. In practice, the right way to think about a Poe subscription is that you are buying a daily budget rather than unlimited access, and the way to make that budget go further is to be deliberate about which model handles each prompt. Heavy users of a single model often migrate off — the value of the aggregator is only there if you actually use the breadth. Group chats sit on top of all of this. Launched in late 2025 (TechCrunch covered the 2025-11-18 announcement), group chats let up to 200 participants share one thread, where each participant can be either a human user, a frontier model, or a community bot. The pattern is to layer perspectives — ask GPT-5.5 for a draft, ask Claude to critique it, ask Gemini to render a related image — all in the same thread without copy-pasting between chats. It is the most distinctive workflow Poe ships that the direct model maker apps do not. Poe Apps are the creator-side feature. An App can orchestrate multiple bots, present a structured input form to the user, and behave more like a packaged product than a one-shot chat. Creators with public bots can opt into Quora's revenue-share programme, where a share of subscription dollars is allocated to bot usage. The economics of the programme are pitched at indie creators and prompt engineers rather than at large studios.

The structure today has three subscription anchors. The $5/month tier is the cheapest paid option, designed for casual users who want enough budget to actually use a frontier model every day without exhausting a free allowance. The $19.99/month tier is the most common pick for serious subscribers — its daily compute budget is large enough to run a frontier-text-heavy workflow plus a moderate amount of image generation. The $249.99/year tier is the discounted annual option, which is the right pick if you have already decided Poe is a year-long bet rather than an experiment. Free is also a real tier. The free daily budget rotates between smaller / older models and only allows occasional access to current frontier models. It is enough to evaluate the interface and try a few prompts; it is not enough to do a day of work. The free tier is also the right floor for users who only need an aggregator occasionally — the cost of going up to a paid tier may not be worth it if you do not chat daily. Two cost-shape notes are worth keeping in mind. First, image and video generation is materially more expensive in points than text. If you intend to use Sora-2 or Veo-3.1 heavily, the practical budget question is not "is $19.99 enough for chat" but "how many short videos a day do I want to render". Second, the point cost of "the same reply from the same model" is not a fixed number — longer outputs cost more points, multimodal inputs add to the cost, and large context windows used heavily are charged accordingly. The points display in the chat after each reply is the authoritative number; published per-message rates are the floor, not the ceiling. Subscriber benefits beyond the daily budget are modest but real: priority during peak load, slightly higher rate limits on certain bots, and earlier access to new model versions rolled out behind subscription gates. None of these are exclusive enough to be the primary reason to subscribe; the budget is.

Each of those is the right answer if you spend the overwhelming majority of your time inside a single model and want all of that model's premium features — code interpreter, native voice, deep research, model-specific tools. Going direct also typically removes the per-point metering inside that model. Poe is the right answer when the value of being able to switch between frontier models for different tasks outweighs the single-app polish each of those direct apps offers. ChatLLM Teams (Abacus) and You.com are the nearest competitors on the multi-model aggregator side. ChatLLM Teams pitches a similar all-you-can-eat multi-model bundle at a comparable price; You.com layers search and agentic web actions on top of a multi-model chat. Neither has Quora's distribution or Poe's bot / Apps creator ecosystem. OpenRouter is in the same neighbourhood but plays a different role — it is a developer-side router with a pay-per-token API, not a consumer chat app. Builders who want to wire up a chat product in their own app land on OpenRouter; people who want a polished consumer chat app over many models land on Poe. Poe is the right pick if you actually use several frontier models, want a single subscription, do not need the most advanced per-model features each maker exposes only in its own app, and like the idea of layering bots or group chats on top. It is the wrong pick if you live inside one model and want every feature that model maker ships, if you are a developer wiring up an API, or if your usage is heavy enough on image and video generation that a daily point budget feels constraining — at that point the math of going direct to OpenAI or Google for multimodal can come out cheaper. For everyone in the middle — knowledge workers, indie creators, students who want to compare model outputs, and Quora's existing user base — Poe is the path of least resistance to a multi-model chat habit.