Complete pricing guide for Modal. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from Modal · Last verified March 2026
Detailed feature comparison coming soon. Visit Modal's website for complete plan details.
View Full Features →Modal is purpose-built for AI/ML workloads with first-class GPU support, Python-native environment definition, and sub-second cold starts for complex environments. AWS Lambda has a 15-minute timeout limit, no GPU support, limited package size (250MB), and requires Docker or ZIP packaging. Modal supports functions that run for hours, provides A100/H100 GPUs on demand, and lets you define environments in pure Python. For traditional web serverless, Lambda is more mature; for AI compute, Modal is significantly more capable.
Yes, Modal's web endpoint feature lets you deploy any Python function as an HTTPS API endpoint with a single decorator. You can serve ML models (PyTorch, TensorFlow, HuggingFace), FastAPI applications, or custom inference pipelines as autoscaling API endpoints. Modal handles container scaling, load balancing, and GPU scheduling automatically. The endpoints support streaming responses and WebSocket connections, making them suitable for LLM serving with token-by-token output.
Modal offers NVIDIA T4, A10G, L4, A100 (40GB and 80GB), and H100 GPUs. Pricing is per-second of actual GPU usage with no minimum commitment — you pay only while your function is running. As of 2025, A100-80GB costs approximately $3.73/hour, which is cheaper than equivalent on-demand instances from AWS/GCP and dramatically cheaper than reserved capacity for bursty workloads. The free tier includes $30/month in compute credits.
Yes, Modal uses a proprietary runtime and deployment model, so your code depends on Modal-specific decorators and APIs. However, the actual computation code (model inference, data processing) is standard Python that can run anywhere. The Modal-specific layer is relatively thin — primarily decorators for function configuration and the image builder API. Migrating away requires replacing these with Docker + Kubernetes or another compute platform, which is non-trivial but not a complete rewrite.
AI builders and operators use Modal to streamline their workflow.
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