GoKawiilRoboflow Playground lets you run the same image and prompt across up to five zero-shot computer vision models side by side, covering more than 30 models from Anthropic, OpenAI, Meta, Google, and open-source providers like Florence-2. Supported tasks include object detection, image classification, OCR, captioning, and open-prompt visual question answering. It removes the setup cost of provisioning APIs or infrastructure individually, so you can compare model outputs directly before committing to one for your project.
Comparing zero-shot computer vision models – from Claude Opus 4.7 to Gemini 3.1 Pro – can be daunting. Researching the latest models to try, writing the code to call cloud APIs, provisioning infrastructure for open weight models – all of this takes time. Before you know it, a new model is out, ready for use.
With that in mind, we are excited to announce a tool to help you try, compare, and evaluate over 30 popular zero-shot vision models: Roboflow Playground.
In this blog post, we are going to walk through what Roboflow Playground is, and how to use it to test new vision models.
An example of Roboflow Playground used to identify the location of peaches in an image. Florence-2, YOLO World, and a preview Seg Preview model are displayed.
What is Roboflow Playground?
Roboflow Playground lets you compare, side-by-side, the latest computer vision models.
With Playground, you can run the same image and prompt across up to five vision models at once. Supported models range from the latest VLMs by Anthropic, Meta, OpenAI, and Google, all the way to open source models like Florence-2 and YOLO World.
To get started, go to the Roboflow Playground website. You will then be able to choose what vision task you want to run. As of today, Playground supports:
Object detection
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