Replicate Online AI Tools compared with Amazon SageMaker AI and Gemini Enterprise Agent Platform| Online-KI-Tools replizieren | Amazon SageMaker AI | Gemini Enterprise Agent Platform |
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| Access to models: Runs public models through an API and a web page for each model, with a cost estimate shown per model. This avoids a local high-end GPU. | Access to models: A set of tools to build, train and host your own models on AWS infrastructure. It is a development platform more than a catalogue of ready-to-run generators. | Access to models: Documentation under the Vertex AI path now redirects to Gemini Enterprise Agent Platform, which covers Model Garden, custom training, AutoML, endpoints and MLOps. |
| Billing model: Pay per use, by run time at a per-second hardware rate, or per output unit for some models. Private models also bill for setup and idle time. | Billing model: Pay as you go with no minimum fee. Costs depend on instance type, storage and usage. Notebook instances include a 250 hour trial for the first 2 months. | Billing model: Billed in 30-second increments, with no minimum duration for training or prediction. A deployed model bills even without predictions until it is undeployed. |
| Hardware prices listed: T4, A100 80GB and H100 GPUs are billed per hour. | Hardware prices listed: Prices vary by region and instance, so no single hourly rate applies. | Hardware prices listed: An NVIDIA H100 80GB is available for custom training, billed per hour, plus machine costs. |
| Customisation and openness: Cog, an open-source tool, packages custom models for deployment. Both proprietary and open-source models are offered. | Customisation and openness: Offers full control of training, hosting, pipelines and monitoring, which needs cloud engineering skills. | Customisation and openness: Offers AutoML for users without a machine learning background, and custom training for those who need to control the code. |
| Status and fit: Cloudflare announced on 17 November 2025 that it would acquire Replicate and offer its catalogue of over 50,000 models on Workers AI. The standalone service continues to be listed. | Status and fit: Active. It suits teams already on AWS who need training and deployment, not occasional generation. | Status and fit: Active under the new platform name. It suits teams on Google Cloud who need managed training and deployment. |
