Poe vs TypingMind vs Whizi: the multi-model apps compared

A note on who wrote this

Whizi is one of the tools in this comparison. You should read the rest of it knowing that, and you should be suspicious of any section where a competitor has no strengths.

The reason to write it anyway is that this category has no good honest overview. Every existing comparison is either a listicle that got the pricing models wrong or a vendor page that pretends the other options do not exist. People end up choosing on which name they saw first, then discovering three months later that they picked the wrong billing model for how they work.

So the rule for this piece: every tool gets a section on what it is genuinely best at, and the recommendation section names cases where you should not pick Whizi. If you want the marketing version, the pricing page is right there and it is doing its job.

The thing that actually separates these tools

Every product in this category lists the same models. GPT, Claude, Gemini, Llama, DeepSeek, Grok, Mistral, plus a long tail. Comparing model lists is close to useless, because they all pull from the same providers and the lists change monthly.

What genuinely differs is how you pay, and that decides everything else: how predictable your bill is, how much setup you face, whether heavy use is cheap or ruinous, and how much you think about cost while working.

Almost every regret in this category traces back to picking the wrong row of that table. A light user on a bring-your-own-key setup pays for complexity they do not need. A heavy user on a credit system spends the last week of every month rationing. Work out which row suits you before you compare anything else.

Poe

Built by Quora, and the oldest well-known product in this category. Around $20 a month, with an annual discount and a higher tier above.

What it is best at: breadth. Poe has the largest catalogue by a distance, including a huge library of user-created bots with their own prompts and personalities. If you want to try an obscure model the day it is released, or want a ready-made bot for a niche task, Poe usually has it first. The creator ecosystem is genuine, and creators can earn from bots people use, which keeps it stocked.

What it is worst at: cost transparency. Usage runs on compute points, and different models consume points at wildly different rates. A conversation with a cheap model costs almost nothing; a few exchanges with a top reasoning model can eat a meaningful chunk of a monthly allowance. You cannot easily predict what a working session will cost until you have done it a few times, and the mental overhead of "can I afford to ask the good model" is a real tax on how you work.

Pick Poe if: you want maximum model variety, you enjoy trying new releases immediately, and you are comfortable managing an allowance.

TypingMind

A different model entirely: you buy a licence, usually a one-time payment with tiered feature levels, then connect your own API keys from OpenAI, Anthropic, Google, and others. You pay those providers directly for what you use.

What it is best at: control and, for the right person, cost. There is no per-seat subscription tax, you pay exactly the provider rate for exactly what you consume, and you get a genuinely well-built interface with prompt libraries, plugins, custom characters, and local chat storage. For a technical heavy user this is frequently the cheapest option available, and it is not close.

It is also the best answer for anyone who wants their conversation history stored locally rather than on someone else's server, and for teams who already have provider accounts with negotiated rates.

What it is worst at: everything before the first message. You need accounts with each provider, API keys generated and pasted, billing set up in several places, and enough understanding to know why one model rejected your request and another did not. Costs are also unbounded: a runaway long-context session can produce a surprising bill, because nothing stops you. And there is no free tier to fall back on, since every token is billed by a provider.

Pick TypingMind if: you are technical, you use AI heavily, you want the lowest cost per token, and setting up four API accounts sounds like a Tuesday rather than a barrier.

OpenRouter

Primarily a routing layer for developers rather than a chat app, though it has a usable chat interface. You top up credits and pay per token across hundreds of models through one API.

What it is best at: being infrastructure. One API key, one bill, automatic fallback between providers, transparent per-model pricing, and access to models you cannot easily get elsewhere. If you are building software, this is often the correct choice and the rest of this article does not apply to you.

What it is worst at: being a daily workspace. The chat interface is a convenience, not a product. No serious prompt management, no polished document handling, and the whole thing assumes you are comfortable reading a token-price table.

Pick OpenRouter if: you are a developer routing model calls, or you want a single API bill across many providers. See our OpenRouter alternatives page if you started there and want something more finished.

ChatHub, Merlin, and the extension category

A separate shape worth knowing about. These are browser extensions rather than standalone apps, and they sit alongside the sites you already use.

ChatHub shows several chatbots side by side in one window, sending your prompt to all of them at once. Its trick is that it can use your existing logged-in web sessions, so you can compare using accounts you already pay for rather than API keys. As a pure comparison tool it is elegant and cheap.

Merlin is a broader assistant extension: summarise this page, reply to this email, rewrite this selection, plus chat access to several models on a credit allowance. It is convenient and it lives where you already work.

Where the category struggles: these are companions rather than workspaces. Conversation history, document handling, and long project work are weaker, and extensions that depend on your existing web logins are fragile when providers change their sites. They also add a browser extension with broad page access, which is a legitimate thing to think about before installing.

Pick an extension if: your main need is comparing answers or acting on pages you are already reading, and your serious work happens elsewhere.

Whizi

A flat subscription, with the major models included and no API keys to manage. Sign in and start working.

What it is built for: predictability and continuity. One price, one history, and the ability to switch models inside a conversation without losing the thread, so you can draft with one model and have another critique it in the same context. Documents, images, and prompt templates live in the same place as the chat rather than in a separate tool.

Where it is genuinely the right pick: you want several frontier models, you do not want to think about tokens, and you would rather pay one predictable price than manage keys or ration points. That describes most people who are not developers, and quite a few who are.

Where it is not the right pick, plainly: if you are a very heavy technical user with your own provider accounts, bring-your-own-key will cost you less per token. If you want every obscure model the day it ships, Poe's catalogue is bigger. If you are building software, use an API router rather than a chat product. And if you use one vendor's deep product features every day, such as Claude Code in a terminal or Gemini inside Google Docs, no aggregator replicates those, and you should buy that vendor's plan.

If you want the direct comparisons rather than the category view: Whizi vs Poe, Whizi vs OpenRouter, Whizi vs ChatGPT Plus.

Side by side

Verify all pricing directly with each vendor before deciding, since every product in this category has repriced at least once in the past year.

Pick by how you work

Find yourself in this list and stop reading.

• You use AI a few hours a week for writing, research, and admin. A flat subscription. The cheapest option on paper is irrelevant if it costs you an evening of setup and a monthly cost calculation.
• You are a developer with provider accounts and heavy usage. Bring your own key, through TypingMind for a polished interface or OpenRouter if you are building rather than chatting.
• You want to try every new model immediately. Poe. Nothing else keeps up with the catalogue.
• You need to compare two answers occasionally and already pay for a plan. A comparison extension is a cheap add-on to what you have.
• You live inside one vendor's product features. Buy that vendor's plan. Aggregators give you model access, not product depth, and pretending otherwise would be dishonest.
• You are paying for two or three separate AI subscriptions right now. Any tool in this category will save you money. Start by totalling what you spend with the savings calculator, because the number is usually higher than people expect.

The one thing worth avoiding is what most people do by default, which is to accumulate single-vendor subscriptions one at a time until the total is embarrassing and the workflow is split across four histories. Whatever you choose here, choosing deliberately beats that.

If you want the workflow rather than the shopping decision, how to use multiple AI models together covers what to actually do with more than one model once you have them.

Workflow checklist

• Decide which billing model suits you before comparing model lists
• Estimate your monthly usage honestly, since it decides which option is cheapest
• Count the setup cost, including provider accounts and API keys, as part of the price
• Check whether you depend on a single vendor's product features that no aggregator replicates
• Test switching models mid-conversation, since implementations differ a lot
• Total your current AI subscriptions before adding or replacing anything

Common questions