Tools
IO Cloud vs Modal
IO Cloud or Modal? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Choice of models, Runs models for you, Builds agents and workflows
- Only Modal states: Agent that edits files, API, Official SDKs, Traces and evaluates
IO Cloud
IO Cloud provides on-demand GPU clusters for AI training, inference, and machine-learning jobs.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Choice of models — “Scale with over 50+ AI Models” source
- Runs models for you — “Instantly run, deploy, and scale AI models with high-performance GPUs and zero setup.” source
- Builds agents and workflows — “Build and connect intelligent agents with logic-driven automation.” source
Latest updates
- A new tokenomics for a new era: The IDE is now live
The official launch of the Incentive Dynamic Engine (IDE) ties the supply of $IO directly to how much people are using the network.
- io.net Launches the First Adaptive Economic Engine for Decentralized Compute
io.net's Incentive Dynamic Engine (IDE) is an adaptive tokenomics model bringing sustainable economics and predictable stability to decentralized GPU compute.
Modal
Modal is a serverless cloud platform for running AI inference, training, batch jobs, and isolated code sandboxes.
Plans
Starter
Free
- $30 / month free compute
- 3 workspace seats included
- 100 containers + 10 GPU concurrency
- Scheduled and Web Functions (limited)
- Real-time metrics and logs
- Region selection
Team
- $250 + compute / month
- $100 / month free compute
- Unlimited seats
- 5000 containers + 50 GPU concurrency
- Unlimited Scheduled Functions
- Custom domains
- Static IP proxy
Enterprise
Price on request
- Volume-based discounts
- Unlimited seats
- Higher GPU concurrency
- Embedded ML engineering services
- Environment-level budgets
- Support via private Slack
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Agent that edits files — “Autonomous agents with the right tools, context, and credentials already in place — running securely in a full, isolated dev environment.” source
- Choice of models — “Run any model or inference engine on H100s, A100s, A10Gs and more.” source
- API — “Serve your own LLM API” source
- Official SDKs — “Modal SDK” source
- Runs models for you — “Deploy and scale inference for LLMs, audio, image/video generation.” source
- Builds agents and workflows — “Designed to scale agents.” source
- Traces and evaluates — “Debug fast by zooming into metrics, logs, and live statuses of specific inference calls.” source
Latest updates
- Network egress usage broken down by app
The Usage page now shows network egress per app.
- New controls for unauthenticated web endpoints
Filter by authentication, audit unauthenticated deployments, and block them per environment.
- User groups for RBAC-enabled workspaces
Assign environment roles to groups of members, created manually or synced from your identity provider via SCIM.