Free
$0Free plan available.
WizModel is a platform designed to simplify the deployment and scaling of machine learning models. It provides a unified API for ML inference, allowing users to run models without extensive coding. WizModel offers tools like Cog2 to package models into production-ready containers and automatically generates scalable API servers, handling dependencies, GPU configurations, and scaling. It also allows users to explore and use thousands of pre-existing models shared by the community.
To use WizModel, you can either access pre-existing models via their API or deploy your own using Cog2. To deploy a custom model, define your environment in a cog.yaml file, specify your prediction logic in a predict.py file, and use Cog2 commands to build, push, and run the model. You can also use their AI tool to generate the cog.yaml file. Finally, call the REST API with Python to execute your model in the cloud.
WizModel provides a unified API and tools like Cog2 to package models into production-ready containers, which automatically generates scalable API servers and manages dependencies.
Cog2 is a tool that allows you to package machine learning models into a standard, production-ready container, which streamlines the deployment process.
WizModel automatically scales up to accommodate increased traffic and scales down to zero when inactive, ensuring you are only charged for the time your code is running.
Yes, when others use a model you have published via the WizModel API, you will receive a portion of the fees paid by that user (feature coming soon).
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to WizModel.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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