Skip to content
Use case

Multi-Model A/B Testing

Run the same prompt through Gemini and OpenAI in parallel. Compare latency, token cost, and output quality on your actual production prompts.

HTTP TriggerTriggerGeminiAI TextOpenAIAI TextGemini ResultOutputOpenAI ResultOutput
Who this is for

AI engineers, product teams, prompt designers

The problem

Picking a model based on benchmarks is guesswork. You need side-by-side results on your real prompts, with your real system instructions, at your actual scale, not a leaderboard score from six months ago.

The flow

POST a prompt to the published webhook. The flow fans it out to a Gemini Text node and an OpenAI Text node running in parallel. Both responses, along with per-node latency and token counts from the execution log, are returned together via Respond to Webhook.

The outcome

Empirical model selection on your production traffic. Switch providers with data, not gut feeling.

Generate your first video ad in 3 minutes.

Free to start. No credit card. Upload a product photo, connect your AI models, click Run.