Magai

Magai

Magai puts dozens of chat, image and video AI models behind one $20/mo login, so you can switch models mid-conversation without losing

77/100Safe BetFrom $20/moPaid

The pitch is model count, but the reason to stay is that your context, memory and agents survive a model switch — most aggregators still cannot say that. At $20/mo for Standard against roughly $175/mo of stacked single-lab subscriptions, the arithmetic is not close. If you truly use one AI every day, ChatGPT Plus or Claude Pro remains simpler.

Verified 3d ago · liveness 77/100 · cite: rightaichoice.com/tools/magai

Best for
  • Content and marketing teams that move between ChatGPT, Claude, Gemini and Perplexity on one project
  • Marketers who want chat, image and video generation under one $20/mo subscription instead of four
  • Power users who hit single-lab usage windows and would rather top up $5 than wait for a reset
  • Agencies running separate workspaces per client with shared chats, agents and prompts
Not ideal for
  • Users who only ever need one AI model — a direct $20/mo subscription to that lab is simpler
  • Developers who need raw API access, custom model tuning or fine-tuning pipelines
  • Buyers who require HIPAA or comparable compliance certifications
Visit Website

Beginner-friendlySolo users: first value in about 10 minutes — sign up, pick Standard at $20/mo, type a slash command and start chatting; import existing ChatGPT or Claude history to carry context over. Teams: budget an hour to invite seats ($20 each on Standard), set shared chats, agents and prompt permissions, and connect integrations (150+ available). Agencies adding per-client workspaces and multi-accountWebNo public APIVerified 3d ago
Pricing
From $20/mo
Paid3 plans5 hidden costs
Learning curve
Beginner-friendly
Solo users: first value in about 10 minutes — sign up, pick Standard at $20/mo, type a slash command and start chatting; import existing ChatGPT or Claude history to carry context over. Teams: budget an hour to invite seats ($20 each on Standard), set shared chats, agents and prompt permissions, and connect integrations (150+ available). Agencies adding per-client workspaces and multi-account
Runs on
Web
No public API · 13 integrations
Who it's for
Content marketerAgency account leadPower user hitting lab rate limits
Live sentiment
Is Magai actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip Magai if you only ever open one AI model and don't need cross-model memory or agents — a direct $20/mo subscription to that single lab is simpler and cheaper for you.

The 30-second take
Biggest gripe

Monthly usage is a dollar allowance ($20 on Standard, $40 on Pro, $200 on Ultra), so power users who burn through it pay top-ups of $5, $10 or $20 on top of the subscription.

Price reality

Magai fits the solo professional or small team at $20/mo Standard, and scales by capacity rather than features — Pro at $40/mo for daily heavy use, Ultra at $200/mo for maximum monthly usage. Against named peers it competes with subscribing directly to ChatGPT Plus (~$20/mo), Claude Pro (~$20/mo), Google AI Pro (~$20/mo), SuperGrok (~$30/mo) and Perplexity Pro (~$20/mo), which Magai itself totals at $175+/mo; Multi-model aggregators like Poe sit in a similar band. Volume pricing is available

In short

Magai — Magai puts dozens of chat, image and video AI models behind one $20/mo login, so you can switch models mid-conversation without losing. Best for Content and marketing teams that move between ChatGPT, Claude, Gemini and Perplexity on one project, Marketers who want chat, image and video generation under one $20/mo subscription instead of four, Power users who hit single-lab usage windows and would rather top up $5 than wait for a reset. Plans from $20/mo.

What's new in Magai

Checked 3 days ago

Across the latest 9 updates: 7 community discussions and 2 news mentions.

DiscussionBlog·12 days agoNewest

MCP Servers: Which Ones Are Worth Connecting

Magai blog argues most of the thousands of available MCP servers carry risk, and outlines how to pick the few worth connecting to an AI workspace.

NewsBlog·13 days ago

Magai weekly AI newsletter for builders and teams

Magai publishes a weekly roundup of prompts, workflows and models it deems worth teams' time, sent once a week.

DiscussionBlog·16 days ago

Claude Pricing: What Each Plan Really Costs

Magai walks through Claude's five plan tiers, current prices per tier, and which one it says fits which user.

DiscussionBlog·16 days ago

Gemini vs ChatGPT: What Actually Decides It

Magai compares Gemini and ChatGPT on cost and capability, arguing one difference decides which subscription is worth paying for.

NewsBlog·19 days ago

Gemini 4 Argon: What It Is and Who Can Use It

Magai covers Gemini 4 Argon's benchmark standing, its limited availability, cost, and near-term options for users who cannot access it.

DiscussionBlog·20 days ago

All AI Tools in One Website: What to Check First

Magai tests the 'all AI tools in one website' claim, comparing aggregator offerings against the real cost of running separate AI tools.

DiscussionBlog·23 days ago

Claude vs ChatGPT: Which One Should You Pay For?

Magai contrasts Claude and ChatGPT failure modes and advises picking per task rather than paying twice for tools that do not share context.

DiscussionBlog·25 days ago

What Is an AI Aggregator? A Straight Answer

Magai defines AI aggregators as GPT, Claude and Gemini behind one login, and says context retention across model switches is the deciding factor.

DiscussionBlog·27 days ago

How to Automate Social Media with MCP

Magai explains using MCP to connect one AI workspace to social tools for drafting, scheduling and analyzing posts without separate logins.

What people actually say about Magai — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

10 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.

25% positive75% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Access to 50+ AI models in one subscription — no separate accounts.
  • +Switch models mid-conversation while preserving full context.
  • +Reusable Personas act like custom GPTs applicable across all models.
  • +Canvas document editor enables export to PDF and DOCX.
  • +Prompt Enhancer helps refine vague inputs for better results.
Recurring frustrations
  • −Almost no public community feedback — risk of unproven quality.
  • −Competitors like Poe and TypingMind have stronger user bases.
  • −Pricing is opaque — no free tier or trial details available.
  • −No information on support responsiveness or uptime guarantees.
  • −Model quality depends on underlying providers, not Magai itself.
Patterns worth knowing
Magai is recognized as a competitor in the all-in-one AI platform space but lacks first-hand user reviews.
Seen on Hacker News
Comparison articles list Magai among many similar tools (Poe, TypingMind, TeamAI) without distinguishing features.
Seen on Hacker News
Learning curve
beginnerProductive in ~A few hours
Hidden costs people mention
  • • No data available on rate limits, usage caps, or overage charges

Viability Score

77/100
Safe Bet

How well maintained and how widely used is Magai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
94
Site health
95
User sentiment
25
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Switch chat, image and video models mid-conversation without losing thread context
  • Slash command any model by name, e.g. /Claude or /GPT, and continue the same thread
  • Chat models from OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral and Perplexity
  • Voice GPT model available alongside text chat models
  • Image generation via OpenAI, Flux, Ideogram, Recraft, Leonardo and Seedream
  • Video generation via Runway, Kling, Google and others, included on every plan
  • Reusable agents that run on any model with your instructions, voice and files
  • Agent skills for repeatable task execution reused across models
  • Memory that persists across model switches and is searchable and deletable
  • Canvas document editor with PDF and DOCX export
  • Scheduled tasks run any model across connected apps on a recurring basis
  • 150+ app integrations, with multi-account connections on Pro and Ultra
  • MCP connections to plug in external servers and their tools
  • Import ChatGPT and Claude conversation history in minutes
  • Context management that shows what is in context and condenses long threads

About Magai

PaidBeginner-friendlyNo APIWeb

Magai is an AI aggregator that puts chat, image and video models from OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral, Perplexity, Flux, Ideogram, Runway and Kling behind one login and one bill starting at $20/mo. It is built for people who currently stack ChatGPT Plus, Claude Pro, Google AI Pro, SuperGrok and Perplexity Pro — Magai totals those at roughly $175 a month against $20 for the whole roster. The core mechanic is continuity, not model count. Type a slash and a model name — /Claude, /GPT, /Perplexity — and the next reply comes from that model with the entire conversation intact, no tabs or re-explaining. Memory lives above the labs rather than inside one, so what you told ChatGPT travels with you into Claude, survives a version bump, and stays yours to read, search and delete. Agents (customers still call them personas) carry your instructions, voice, files and skills, and run on any model. Around that sits a working environment. Every plan includes the image and video models, not just the language ones, plus a Canvas document editor with PDF and DOCX export, saved searchable prompts, a prompt enhancer, web search, knowledge file uploads, context management and reusable image references. Scheduled tasks run any model against 150+ connected apps, and MCP connections let you plug in external servers. Plans differ in capacity, never in features: Standard, Pro and Ultra. Positioning-wise, Magai is for teams and operators who already move between labs on one project. If you genuinely use one model and nothing else, a direct subscription to that lab stays simpler.

Behind the Verdict

Most AI aggregators sell the same thing: a dropdown of logos and a cheap bundle. Magai's actual argument is narrower and more useful — the workspace around the models remembers things. Memory persists across a switch, agents are not tied to a model, and usage is metered in dollars instead of credits or rate-limit windows. Pick this if you are the person in the meeting who says 'let me run that through Claude' and then has to paste the whole thread again. The slash-command flow is the shortest path between labs I have seen in a browser tool, and the point is that nothing gets lost in the handoff. Pick it, too, if your image and video work happens in the same breath as your writing. Every plan includes the image and video models, so a draft, a hero image and a clip can come out of one subscription rather than three. Where it bites: usage is a monthly dollar balance, not a seat licence. Heavy days drain it, and the fix is a $5, $10 or $20 top-up rather than a wait for a reset. That is friendlier than a hard wall, but budget-minded users should watch the meter. Skip it if you need raw API access, fine-tuning pipelines or a specific compliance certification — an aggregator wraps models, it does not replace a lab's developer platform. Anyone whose whole workflow is one model should also just pay that lab directly. The closest alternative is usually not another aggregator but the bundle of first-party subscriptions. Magai wins on continuity and price; the labs win on being first to their own newest model, since Magai adds new models as providers ship them rather than on release day. The 30-day money-back guarantee is the cheapest way to test which side you land on.

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Real-world workflow fit

Concrete scenarios for the personas Magai actually fits — and what changes day-one when you adopt it.

Content marketer

You outline a launch email with GPT, type /Claude to rewrite it in your voice, then /Perplexity to pull competitor pricing with cited sources — all in the same thread without re-explaining the brief.

Outcome: One thread produces an outline, a finished draft and sourced competitive context, and you export the final piece as a DOCX from the Canvas editor.

Agency account lead

You run separate workspaces per client, share view-only chat links for approval, and put a recurring scheduled research task on each client's workspace so Monday reports generate themselves.

Outcome: Client work stays separated, approvals don't require exports, and recurring research runs on schedule without anyone remembering to prompt it.

Power user hitting lab rate limits

Two hours into a heavy writing day you hit your single lab's 5-hour usage window, so you switch to a different model mid-chat and keep the full conversation, then top up $5 when your dollar balance runs low.

Outcome: No four-hour wait for a reset and nothing you produced is locked away — the work continues in a different model with the same context.

Use Cases

Models Under the Hood

GPTClaudeGeminiGrokPerplexity SonarDeepSeekLlamaMistralKimiSeedreamKlingMuse

as of 2026-10-17

Limitations

  • Magai is an aggregator, not a model vendor: plans differ only in usage capacity (Standard $20/mo, Pro $40/mo, Ultra $200/mo, billed monthly, with 100/1,000/unlimited scheduled task runs respectively) and every plan includes every model and tool.
  • It markets itself to non-technical users — 'AI should work for everyone, not just the highly technical' — though the breadth of models, reusable agents, MCP connections and integrations implies a fair amount of setup for advanced workflows.
  • Memory is stored per workspace and shared across models, and no sample chat output or API documentation appears in the captured evidence.
  • Yearly billing saves 17%, and team plans are available above ten seats.

as of 2026-10-08

Verification history

We have re-verified Magai 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 9 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
$240
Over 12 months
Effective monthly
$20
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Magai tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Standard

$20/mo

Ideal for

A solo professional or light user starting out with multiple AI models who wants the full roster at the lowest monthly price.

What this tier adds

Starting tier at $20/mo: all standard models and tools, unlimited agents, 100 scheduled task runs, and $20 monthly usage, with extra users at $20 each.

Pro

$40/mo

Ideal for

A serious daily user or small team that needs more monthly capacity and connects more than one account of the same tool.

What this tier adds

Adds premium models (the top GPT and Claude tiers), 1,000 scheduled task runs, priority support and multi-account integrations for $40/mo.

Ultra

$200/mo

Ideal for

A power user or agency whose monthly AI usage regularly exceeds what Pro's $40 allowance covers.

What this tier adds

Maximum monthly usage capacity with unlimited scheduled task runs and priority support at $200/mo; agents stay unlimited across every tier.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Monthly usage is a dollar allowance ($20 on Standard, $40 on Pro, $200 on Ultra), so power users who burn through it pay top-ups of $5, $10 or $20 on top of the subscription.
  • Scheduled task runs are capped per month (100 on Standard, 1,000 on Pro), so teams that automate heavily will need to move up a tier or hit the ceiling.
  • Multi-account integrations — connecting more than one account of the same tool — are only on Pro and Ultra, so Standard users with several client accounts pay the upgrade.
  • Additional seats cost $20 each on Standard, and Pro/Ultra seat pricing is custom, so a five-person team on Standard is really $100/mo before usage.
  • Premium models (the top GPT and Claude tiers, roughly anything 3x or more expensive to run than a standard model) consume your dollar balance far faster than standard models.

Where the pricing makes sense

The company stage and team size where Magai's pricing actually pencils out — and where peers do it cheaper.

Magai fits the solo professional or small team at $20/mo Standard, and scales by capacity rather than features — Pro at $40/mo for daily heavy use, Ultra at $200/mo for maximum monthly usage. Against named peers it competes with subscribing directly to ChatGPT Plus (~$20/mo), Claude Pro (~$20/mo), Google AI Pro (~$20/mo), SuperGrok (~$30/mo) and Perplexity Pro (~$20/mo), which Magai itself totals at $175+/mo; Multi-model aggregators like Poe sit in a similar band. Volume pricing is available

Setup time & first value

How long it actually takes to get something useful out of Magai — broken out by persona, not the marketing-page minute.

Solo users: first value in about 10 minutes — sign up, pick Standard at $20/mo, type a slash command and start chatting; import existing ChatGPT or Claude history to carry context over. Teams: budget an hour to invite seats ($20 each on Standard), set shared chats, agents and prompt permissions, and connect integrations (150+ available). Agencies adding per-client workspaces and multi-account

Switching to or from Magai

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From ChatGPT Plus: import your ChatGPT conversation history into Magai, then keep using GPT models in-thread alongside Claude and Gemini.
  • →From Claude Pro: import Claude conversation history, then run Claude agents and switch to other models without losing the thread.
  • →From multiple stacked lab subscriptions: cancel the overlapping seats once Magai covers your models, given Magai prices the five lab subscriptions it replaces at $175+/mo versus $20/mo.
  • →From a credit-based aggregator: move chats into Magai's folders and collections, and note usage is metered in dollars rather than credits.
Migrating out
  • ↗To a single lab subscription: export your Canvas documents to PDF or DOCX and re-subscribe directly to the one model you actually use daily.
  • ↗To a raw API workflow: your prompts and saved library can be re-created in code, but Magai documents no export path for agents or memory — plan to rebuild those by hand.
  • ↗To another aggregator: re-upload knowledge files and recreate agents and integration connections, since model-tied memory won't transfer.

Integrations

GmailGoogle CalendarGoogle DocsSlackNotionTrelloAsanaHubSpotMailchimpSalesforceZapierDropboxOneDrive

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Magai”, and we withheld 6: 6 could not be judged, because “Magai” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Magai.

Tools that pair well with Magai

Common stack mates teams adopt alongside Magai, with the specific reason each pairing earns its keep.

Featured Head-to-Head Comparisons

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Frequently Asked Questions

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