Key features
Core capabilities each platform advertises.
Data not available
- Serverless cloud for AI
- Python-native container orchestration
- Auto-scaling GPU infrastructure
- Pay-per-second billing
- Built-in web endpoints
Updated March 10, 2026
Baseten is a model inference platform that lets developers deploy and scale ML models with high-performance GPU infrastructure. It supports custom model deployments with autoscaling, and hosts popular open-source models through its Truss serving framework.
Modal is a serverless cloud platform for running AI workloads with zero infrastructure management. Developers write Python code and Modal handles containerization, GPU provisioning, scaling, and scheduling automatically. The platform supports GPU-accelerated functions, scheduled jobs, web endpoints, and batch processing, making it particularly popular for ML pipelines, model serving, and data processing tasks.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
Choose Baseten if you wantChoose if you want
Choose Modal if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan free