Looking for a Poe alternative? An honest look at Poe, ChatHub, TypingMind and Rileva

Prices checked on the official sites on 5 October 2026. They change often, so check the links before you buy. Written by Leonardo Cantoni, founder of Rileva. Yes, this is our page, so we've tried hard to be fair.

The short version

All four let you use models from several AI labs in one place. They differ mostly in how you pay and what happens after you get several answers.

• Poe is the widest catalogue: official models plus a huge library of user-made bots, paid with a pool of points.
• ChatHub is built for side-by-side: up to six chatbots answering at once, on a monthly subscription, with apps on every platform.
• TypingMind is a polished chat interface you buy once, then connect to your own API keys and pay the providers directly for usage.
• Rileva is a smaller workspace built around two things: Auto, which picks a model for each request, and Council, which asks three models independently and writes one answer showing where they agree, where they differ and what it depends on.

If you mostly want variety, Poe is hard to beat. If you want to read many answers side by side, look at ChatHub. If you want to bring your own keys and pay per token, choose TypingMind. If you want the comparing done for you, try Rileva.

What each one is

Poe (by Quora) gives you access to bots from OpenAI, Anthropic, Google, Meta and others, plus image, video and audio models and millions of user-created bots (Poe FAQ). Every message costs points, and each bot shows its rate. Free users get a daily allowance that resets every 24 hours. You can @-mention other bots in the same chat (Poe creator docs).

ChatHub describes itself as an "all-in-one AI client" for using multiple chatbots side by side, with answers from up to six at once (ChatHub docs). Its subscription includes hosted models without API keys. It also has an experimental one-click "Summarize Chat" that has AI summarize the different responses (docs). It runs on the web, as a browser extension, and as iOS, Android, Windows and macOS apps (chathub.gg).

TypingMind calls itself "the best frontend for LLMs". You buy a lifetime license, add your own API keys from providers such as OpenAI, Anthropic or Google, and pay those providers directly for what you use (typingmind.com/buy). It is very feature-rich: agents, plugins, MCP connectors, a RAG knowledge base, canvas and artifacts. The Premium license adds multi-model parallel chats. By default your data is stored on your device.

Rileva is a browser-based workspace with models from OpenAI, Anthropic (Claude), Google (Gemini), xAI (Grok), Mistral and Perplexity included in the plan, so you don't need API keys (rileva.ai). Auto routes each request to a model suited to the kind of work and always shows which model answered. You can lock a model at any time. Council sends your question to three models that answer independently. A comparison step then reads the answers without knowing which model wrote which and writes one answer in a fixed shape: the short answer, where they agree, where they differ and why, and what it depends on. It's explicitly not a majority vote, and each model's full answer stays one click away.

Side-by-side comparison

Only facts we could confirm on each company's own pages on 5 Oct 2026. "Not verified" means we couldn't confirm it, not that the feature doesn't exist.

Where each competitor is better than Rileva

We'd rather you pick the right tool than pick ours.

• Poe is better for breadth and experimenting. If you want the newest image, video and audio models next to the chat models, or a library of community bots, Poe has far more than Rileva. Its $4.99 entry plan is also cheaper than any Rileva plan, and the per-bot point rates show exactly what each message costs.
• ChatHub is better if you want to read everything yourself. Six answers side by side is more than Council's three. It also has native apps on every major platform plus a browser extension, while Rileva runs in the browser.
• TypingMind is better for control and pay-per-use. If you already have API keys, want local-first storage, MCP and plugins, or self-hosting for a team, TypingMind offers far more configuration than Rileva. One payment plus API costs can also work out cheaper for light users. That depends entirely on your usage, so estimate it before you assume.
• All three are more established. Rileva is a young product with a small team. If track record matters most to you, weigh that.

Where Rileva is different

Rileva doesn't try to have the most models. It tries to take the choosing and the comparing off your plate:

1. Council does the comparing for you, blind. Side-by-side views leave you with three or six walls of text. In Council, each model is asked to commit to a conclusion, name its assumptions and say when it would be wrong. The comparison then sees only "Perspective A, B, C", groups them by conclusion, and writes one answer: the short answer, where they agree, where they differ (and why), and what it depends on. It's told never to go with the majority and to flag a risk only one model raised. If you want to dig in, every full answer is still there.
2. Auto means you don't pick a model for every message. Ask for a draft, then research, then a plan, in one conversation. Auto routes each request and tells you who answered. It's a judgment call, not a guarantee, and you can lock a model whenever you disagree.
3. One plan, no keys. Plans include all supported providers. Credits reset each month and don't roll over.

Our honest limits: fewer models than Poe, fewer parallel answers than ChatHub, much less configurability than TypingMind, no API-key option, and Council is slower than a single answer and doesn't make any answer correct.

Who should choose what

• Choose Poe if you want the biggest catalogue, community bots, media generation, or the cheapest paid entry point, and you're comfortable budgeting points.
• Choose ChatHub if you want many models side by side on every device and prefer to judge the answers yourself.
• Choose TypingMind if you have API keys, want to pay providers directly, and value plugins, agents, MCP and local data.
• Choose Rileva if you're tired of choosing models and comparing answers by hand, and want one subscription where Auto handles everyday requests and Council gives you a structured second opinion on questions that matter.
• Stay where you are if your current tool already does what you need. Switching costs time.

FAQ

What is the best Poe alternative? It depends on why you're leaving Poe. For side-by-side answers from many models, ChatHub. For bring-your-own-key control and a one-time license, TypingMind. For automatic model picking plus a blind comparison that writes one answer (where models agree, differ, and what it depends on), Rileva.

Is there a Poe alternative that doesn't use points? ChatHub uses monthly query quotas, TypingMind has you pay providers directly through your own API keys, and Rileva uses monthly credits on a subscription. All three still meter usage in some way, just differently from Poe's points.

Which of these can ask multiple AI models at once? All four. Poe through @-mentioning several bots in one chat, ChatHub with up to six side by side, TypingMind with multi-model parallel chats on its Premium license, and Rileva with Council (three models plus one synthesized answer).

Do I need API keys? Only for TypingMind. Poe, ChatHub (for its supported cloud models) and Rileva include model access in the plan.

Is Rileva cheaper than Poe? Not at the entry level: Poe's cheapest paid plan is $4.99/month, while Rileva starts at €20/month (€16/month billed yearly). Compare what you'd actually use, not just the sticker price.

Try it

Try Rileva free (no credit card needed) on a question you'd normally paste into several apps. The link opens a chat with an example prompt in the composer. Fill in the brackets, switch the composer to Council if you want the three-model comparison, and send.

Try Rileva →

Prefilled prompt (decoded): "I use AI mostly for [writing / research / coding] and I pay for [current subscriptions]. Should I switch to one multi-model app or keep what I have? Give me a clear recommendation, the assumptions it rests on, and when it would be wrong."