Roboflow Pricing in May 2026

Roboflow's pricing follows tiered structure: Public Plan free for unlimited public projects, Starter at $249/month for private projects, Growth custom-quote. Real-world Roboflow bills for ML teams using computer vision land at $250-2,000/month for early-stage; mid-stage CV products hit $5K-30K/month.

The Free Plan offer covers basic computer-vision experimentation. The strategic decision: Roboflow's value is the end-to-end workflow specifically for computer vision: image labeling tools, format conversion, augmentation, training pipelines, and deployment across cloud, edge, and mobile. For broader ML platforms, Hugging Face hosts vision models and datasets but with broader scope (NLP, audio, etc.). Replicate handles deployment of vision models like Stable Diffusion via API. Modal provides GPU infrastructure for custom training. For specifically labeling, Labelbox, Scale AI, V7, and CVAT compete. SuperAnnotate targets enterprise vision-data labeling. Encord targets the same niche with strong active learning features. For training pipelines, Weights & Biases handles experiment tracking; Vertex AI (Google), SageMaker (AWS), and Azure ML target enterprise MLOps. For pure model deployment, Modal, Replicate, BentoML, and Triton Inference Server target inference at varying scale. For specific use cases: Ultralytics YOLO is the dominant open-source object detection framework that Roboflow integrates. For vision-language models specifically (CLIP, SigLIP, vision-language LLMs), Hugging Face and provider APIs (OpenAI, Anthropic, Google) handle these with different positioning than Roboflow. For edge deployment specifically, NVIDIA Jetson, OpenVINO, and TensorFlow Lite handle deployment without Roboflow.