Pay for what you test.
Nothing more.
No subscriptions. No seat-based pricing. Quash charges based on actual AI compute per task. Most tasks cost under $0.30.
No subscriptions. No seat-based pricing. Pay only for actual AI compute per task.
Two ways to use Quash
Full access to every feature. Run tasks, pay only for the AI compute used. Recharge credits anytime. No subscriptions, no per-seat pricing.
Dedicated devices, security, support, and custom deployment. Custom pricing based on devices + infrastructure + support needs.
Everything in Self-serve, plus
- Hands-on onboarding & setup ($500 first month)
- Custom plan after onboarding, tailored to usage
- Dedicated cloud devices for your org
- Scheduled regression runs
- CI/CD & issue tracker integrations
- Agentic app monitoring
- Bring your own LLM API keys (Azure, Bedrock)
- Test generation (codebase & Figma ingestion)
- Priority support & dedicated contact
How pricing works
How pricing works
Three steps. No surprises. Every cent is accounted for.
You run a task
Describe what to test in natural language. Quash's AI agent interprets the intent, breaks it into steps, and executes it on your device or a cloud device.
AI compute is metered
Each step the agent takes (reasoning, planning actions, validating UI state, retrying on failures) consumes LLM API calls. More complex tasks require more calls. A ~20% platform markup is applied on top of the underlying API cost.
Cost is deducted from your balance
The total cost is deducted from your credit balance. You see a full breakdown (task name, model used, API calls, and total cost) in the Billing section. Recharge anytime.
What tasks actually cost
What tasks actually cost
Real examples based on typical task complexity.
Simple UI check
2–3 stepsLogin + navigate + verify
5–8 stepsMulti-screen regression
10–15 stepsComplex E2E with validation
15–25 stepsSee how far your credits go
Enterprise, in detail
Enterprise, in detail
For teams shipping at scale with CI/CD, dedicated devices, and custom requirements.
Fixed onboarding fee, first month
After month one, we design a custom plan based on your team's device needs, general usage volume, use cases (execution, test generation, codebase/Figma ingestion), and infrastructure preferences.
Full refund if complete QA automation isn't achieved in the first 4 months.
Built on transparency
Built on transparency
Every task is fully itemized. No hidden fees, ever.
Per-task breakdown
See task name, model used, number of API calls, and exact cost deducted for every single task.Fair pricing model
LLM API cost passthrough + ~20% platform markup. You pay for actual compute, nothing more.Real-time billing dashboard
Track your balance, spending patterns, and task costs in the Billing section under your Profile.Common questions
Common questions
Your trust is our priority
Your trust is our priority
We blend AI-driven automation with stringent compliance measures, ensuring your data’s confidentiality and security.
