Produktivität & Schreiben · pricing
Okou (formerly VM0) suits teams that want AI teammates running scheduled workflows and producing reports, decks and sites, starting free with 1,000 credits and from $20 per month on Pro.
Okou prices in two layers: a plan, then member packages that carry the credits. Free is a one-time grant of 1,000 credits valid for 30 days, with 2 concurrent runs, 3 included models, bring-your-own LLM keys, all built-in connectors and 10 lifetime voice requests.
Pro starts from $20 and is a $0 plan plus a member package of $20 to $200 per month each (20,400 to 222,200 credits). It gives 3 concurrent runs, all models, scheduled and email triggers and email support. Team starts from $180, which is a $160 plan plus a package, with 10 concurrent runs, webhook triggers, an org model policy and priority support. Enterprise is custom-priced. Prices checked on 2026-09-29.
| Plan | Price | Billing | Who it is for | Key limits | API |
|---|---|---|---|---|---|
| Free web |
Kostenlos | Monthly | Building a first agent | 1,000 credits valid for 30 days; 2 concurrent runs, 3 included models; 10 lifetime voice requests | Not stated |
| Pro web |
$20/mo | Monthly | Teams running agents daily | 3 concurrent runs; Voice input 300 requests/day, 200 min/day per member | Not stated |
| Team web |
$180/mo | Monthly | Teams of AI employees | 10 concurrent runs; Voice input 500 requests/day, 500 min/day per member | Not stated |
| Enterprise web |
Individuelle Preise | Custom | Large organizations | Custom credit volume and concurrency | Not stated |
| If you | Pick | Why |
|---|---|---|
| you want to build a first agent | Free | 1,000 credits valid for 30 days, 2 concurrent runs and 3 models; credits expire. |
| a team runs agents daily | Pro, from $20 | $0 plan plus a member package of $20 to $200 per month, with all models and scheduled and email triggers. |
| you run a team of AI employees with higher concurrency | Team, from $180 | $160 plan plus packages, 10 concurrent runs, webhook triggers and priority support. |
| you need custom credit volume, an SLA and advanced security | Enterprise (custom) | Dedicated support and SLA, volume and annual billing; price not stated. |
Free plan with 1,000 credits valid 30 days.
Top-ups $1 per 1,000 credits on paid plans; auto-recharge available.
Not stated.
Preise am Sep 29, 2026 auf der offiziellen US-Preisseite geprüft. Offizielle Preise ↗ Preise und Limits ändern sich häufig.
Free plan with 1,000 credits valid 30 days.
Kostenlos Quelle (öffnet in neuem Tab)
Monat
Für: Building a first agent
Limits
Enthält
$20/mo Quelle (öffnet in neuem Tab)
Monat
Plus member packages $20 to $200 per month each (20,400 to 222,200 credits)
Für: Teams running agents daily
Limits
Enthält
$180/mo Quelle (öffnet in neuem Tab)
Monat
Plus member packages $20 to $200 per month each (20,400 to 222,200 credits)
Für: Teams of AI employees
Limits
Enthält
Individuelle Preise Quelle (öffnet in neuem Tab)
Custom
Für: Large organizations
Limits
Enthält
Top-ups $1 per 1,000 credits on paid plans; auto-recharge available.
Not stated.
At the listed prices, a single user pays between $240 and $2,160 a year on the fixed-price plans, or nothing on the free tier within its limits. Annual billing discounts, taxes and usage-based extras are listed per plan above where the vendor publishes them.
Free is $0 (1,000 credits for 30 days), Pro starts at $20 and Team at $180 per month with member packages of $20 to $200; Enterprise is custom. Quelle (öffnet in neuem Tab)
Packages grant 20,400 to 222,200 credits per member each month and top-ups cost $1 per 1,000 credits. Quelle (öffnet in neuem Tab)
Yes, bring your own LLM keys is listed on every plan. Quelle (öffnet in neuem Tab)
Yes, with 1,000 credits valid for 30 days, 2 concurrent runs and 3 included models.
Per member package, ranging from $20 to $200 per month each (20,400 to 222,200 credits), on top of the plan fee.
$1 per 1,000 credits on paid plans, with auto-recharge available.
The Free plan lists bring your own LLM keys. Other plans are not detailed on that point in our data.
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