No shrinking points. No hidden caps.
Every message is charged in MultiO tokens at the model’s published rate — the exact charge, the real tokens used, and your remaining balance, shown on the message itself.
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One subscription · Every top model
Chat with the best models from every major lab — routed for you, and metered honestly in MultiO tokens at published rates. Every charge is shown on the message itself. Or ask once and compare them side by side.
Free trial — no card required. Then Pro is $20/month for 80,000,000 tokens.
The real product, start to finish — one prompt, models side by side, and a receipt for every answer.
Every message is charged in MultiO tokens at the model’s published rate — the exact charge, the real tokens used, and your remaining balance, shown on the message itself.
The new model sees the whole thread, your files and your memory. Hop from GPT to Claude to Gemini inside one conversation, freely. And your data is yours — export everything, anytime.
One subscription. Every top AI model. And your tokens go further: Auto sends each message to the most cost-efficient model that can handle it — quick questions to fast, low-rate models, hard ones to flagships. On a typical workload, a grant lasts ~3–4× longer with Auto than if every message went to a flagship model.
Median monthly usage on Pro with Auto routing — of the 80M-token grant
The same usage, always sent to flagship models
Repeat questions — answered from cache, free
Modelled on a 300-message/month median workload at published rates; your mix will vary. Every message shows its exact token charge on its receipt.
A taste of MultiO's compare view. The answers below are simulated (demo mode), but the metering is the real thing — this is exactly the receipt a real message carries.
Demo mode: simulated answers, metered at each model's published rate — the same maths as a real receipt. Sign up and your first 3,000,000 tokens are free.
$0
3,000,000 tokens
Small & mid models
$20/mo
80,000,000 tokens / month
All models, including flagship
+$12/seat/mo
Each seat gets its own 80,000,000 tokens / month
All models, including flagship
Token rates follow the providers' published list prices, converted at a fixed pivot: 1,000,000 MultiO tokens = $0.15 of standard-tier usage.
| Model | Tier | Input · tokens per 1,000 | Output · tokens per 1,000 |
|---|
No models match those filters.
Web search: 100,000 tokens per search, shown as its own receipt line.
Slide to your pace and see it in plain words — Auto routing against pinning every message to a flagship.
Modelled on a 300-message/month median workload at published rates; your mix will vary. Every message shows its exact token charge on its receipt.
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Same conversation — the new model sees everything above.
AI outputs may be inaccurate — verify important information before relying on it.
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Your payment method and invoices will appear here after your first purchase.
Cancel at the end of the current period? Your plan and access continue until — nothing is cut off today, and you can resume any time before then.
Token rates follow the providers' published list prices, converted at a fixed pivot: 1,000,000 MultiO tokens = $0.15 of standard-tier usage.
| Model | Tier | Input · tokens per 1,000 | Output · tokens per 1,000 |
|---|
Web search: 100,000 tokens per search, shown as its own receipt line.
Add tokens on top of your monthly grant. Purchased tokens are spent after your monthly grant and never expire while your account is active.
Each seat gets its own 80,000,000 tokens every month and access to all models.
Each family seat is $12.00/seat/month and renews automatically until cancelled. Each seat includes its own 80,000,000 MultiO tokens per month at the published token rates; unused monthly tokens expire at the reset and do not roll over. Cancel anytime in Settings → Usage & billing → Cancel subscription; access continues to the end of the paid period.
The seat user needs their own MultiO account first — ask them to sign up, then add them here.
No billing activity yet.
One click sends a prompt into the composer. Templates with {{variables}} ask you to fill them in first. Save your own for the ones you reach for every day.
A persona is a custom assistant: its instructions shape every answer in a conversation that uses it, on any model. Optionally prefer a model and file it under a folder — starting a chat in that folder pre-selects the persona (a default, never a lock). Share a persona with a revocable link; anyone signed in can copy it into their own list.
No personas yet — create your first custom assistant above.
A scheduled task runs its prompt automatically as an ordinary metered chat — or a deep-research run — with the persona you pick, if any. Each run is charged in tokens exactly like sending the prompt yourself, lands in the task's own conversation, and is recorded in the run log below. If your balance cannot cover a run, that run is skipped and logged and the task stays enabled — your balance never goes negative. The shortest schedule is one run per hour; daily times are in UTC.
No scheduled tasks yet — create your first one above.
No runs yet — a run appears here each time a task fires.
Connect a GitHub repository and turn a chat request into a reviewable pull request. The agent reads your code and proposes changes; you approve every file, and you merge on GitHub. It never runs code and never merges.
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Pick a repository on the left to start a session. The agent works from a read-only snapshot of the branch, and every change it suggests comes back to you as a diff to approve, file by file.
Share your link. When a friend signs up and sends their first few chats, you both get 6,600,000 tokens — automatically. Token credits are spend-only and never expire while your account is active.
Your code: —
Copied.
Facts here are shared with every model — ask MultiO to remember something about you in chat, and it will show up here and be used by GPT, Claude, Gemini, Grok and Llama alike.
Memory is off — these facts are kept but not used or added to.
Facts here are shared with every model — ask MultiO to remember something about you in chat, e.g. “Remember that I prefer short answers.”
Bring your own key: turns on models from a provider you’ve keyed run on your key and don’t spend your token balance. Web search still costs tokens, and image/video generation still uses MultiO’s keys. Deep-research synthesis follows the same rule as chat; its search steps still cost tokens. Keys are encrypted at rest and are never shown again after saving — only the last 4 characters.
BYOK isn’t configured on this server yet, so keys can’t be saved right now.
Saved.
MultiO Code connects through the MultiO Code GitHub App — installed per account, on the repositories you choose. MultiO stores no GitHub tokens; disconnecting here uninstalls the App and ends access everywhere. The agent reads a snapshot and proposes changes as pull requests for your approval — it never runs code and never merges.
No activity yet.
Use MultiO from your own code with an OpenAI-compatible API. API usage draws on the same token balance and shows in the same receipt history as chats here. A key is shown exactly once when you create it — after that, only its first characters and last 4 are ever displayed, and a revoked key stops working immediately.
You won’t see this key again — copy it now and store it somewhere safe.
Copied.
curl https://multio.ai/v1/chat/completions \
-H "Authorization: Bearer $MULTIO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.4-nano",
"messages": [{"role": "user", "content": "Hello!"}]
}'
List the available models with GET https://multio.ai/v1/models (same Bearer key). Set "stream": true for streaming responses.
No lock-in: download everything — all conversations, your memory facts and a billing summary — as one JSON file. Individual conversations can be exported (JSON or Markdown) from the ⋯ menu next to each conversation.
Export downloaded.
Delete my account. This cannot be undone. Before you continue, download your data — deletion is permanent:
If you delete your account:
Saved.
AI outputs may be inaccurate — verify important information before relying on it.