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Pricing

Vita AI offers straightforward pricing based on credits. No hidden fees, no per-seat costs - just pay for the credits your AI employees consume during autonomous testing workflows. All plans include a 7-day free trial with no charge.

What are Credits?

Credits are the universal unit for all operations in VITA. Your plan includes a monthly or annual pool of credits to spend on AI-powered QA testing operations. Credit usage varies by task complexity:

  • Analyzing a screenshot: 1-50 credits
  • Generating test cases: 50-200 credits
  • Autonomous testing flows: 200-1,000 credits

Actual consumption depends on factors like AI model selection, test depth, and your specific use case. Your credit pool renews automatically each month or year, providing predictable capacity for your testing needs.

Plans

For growing teams that need reliable AI testing with premium models.

  • 10,000 credits/month (120,000 credits/year on annual plan)
  • 7-day free trial - Credit card required, no charge for 7 days
  • Premium AI Models (GPT-5, Claude Sonnet, etc.)
  • QA Engineer AI employee with autonomous testing
  • Virtual desktop environment access
  • Automated test case generation
  • Community support

Pro ($60/month)

For teams requiring extensive AI testing capabilities and priority support.

  • 30,000 credits/month (360,000 credits/year on annual plan)
  • 7-day free trial - Credit card required, no charge for 7 days
  • Premium AI Models (GPT-5, Claude Sonnet, etc.)
  • All Plus features
  • Priority support
  • Advanced testing workflows

Ultra ($200/month)

For large teams with high-volume testing needs and dedicated support.

  • 100,000 credits/month (1,200,000 credits/year on annual plan)
  • 7-day free trial - Credit card required, no charge for 7 days
  • Premium AI Models (GPT-5, Claude Sonnet, etc.)
  • All Pro features
  • Dedicated support
  • Maximum AI testing capacity

Early Access

Vita AI is currently in early access beta. Join our waitlist to be among the first to hire your AI employees and help shape the future of autonomous QA testing.