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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 best used when developers need elastic cloud compute for custom AI code rather than a prebuilt hosted model endpoint. The website specifically describes inference, training, batch processing, notebooks, and sandboxes.
Modal uses a usage-based compute model layered on top of account plans. The existing pricing capture lists Starter at $0/month plus compute with $30/month in free credits, Team at $250/month plus compute with $100/month in free credits, and per-second rates for GPUs, CPU, and memory.
Yes. The website describes online inference for LLMs, audio, image and video generation, embeddings, and custom models, with support for token streaming, WebSocket-style use cases, and autoscaling infrastructure.
Modal abstracts away much of the machine management, container orchestration, GPU scheduling, and scaling work that teams usually handle directly on general cloud infrastructure.
Yes, Modal explicitly markets sandboxes as an execution layer for AI systems, including interactive coding agents and long-running reinforcement learning rollouts that need isolated compute environments.
AI builders and operators use Modal to streamline their workflow.
Try Modal Now →Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.
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Compare Pricing →SDK for integrating cutting-edge LLM technology into applications, with support for building AI agents and connecting model capabilities into existing app workflows.
Compare Pricing →Open-source secure code-execution sandbox for AI agents — spin up a fresh Linux VM in under 200ms, hand your agent a Python/Node/Bash environment, and get back files, plots, and results without ever exposing your infrastructure.
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