Uploaded June 2026 | Updated September 2026, 2 weeks ago

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AI testing against live LLM APIs can quietly drive massive token costs across development, QA, and CI/CD pipelines. Every test execution consumes real tokens—at production rates—creating hidden, variable costs that scale with your AI adoption.

In this video, discover how leading enterprises are eliminating LLM token spend using service virtualization. Learn how BlazeMeter intercepts API calls, simulates realistic AI responses (completions, embeddings, and large payloads), and enables full-scale testing without invoking live models.

See how this approach:
- Reduces AI testing costs to near zero
- Enables scalable, continuous testing across environments
- Eliminates dependency on live LLM endpoints
- Prevents millions in unnecessary enterprise AI spend

If you're building or testing AI-powered applications, this is a must-watch.
Book a custom AI cost modeling session to see your potential savings 👉️ https://ter.li/ghfdw8uo