Tools
Modal vs RunPod Pods
Modal or RunPod Pods? 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: API, Official SDKs, Runs models for you
- Only Modal states: Agent that edits files, Choice of models, Builds agents and workflows, Traces and evaluates
- Only RunPod Pods states: Command line
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.
RunPod Pods
RunPod Pods are dedicated cloud GPU instances for AI development, training, inference, batch jobs, and long-running workloads.
Plans
B300
- $6.94 /hr (Community Cloud)
- $ 7.89 /hr (Secure Cloud)
- 288 GB HBM3e
- 251 GB RAM
- 32 vCPUs
H200
- $3.59 /hr (Community Cloud)
- $ 4.59 /hr (Secure Cloud)
- 141 GB VRAM
- 276 GB RAM
- 24 vCPUs
B200
- $5.98 /hr (Community Cloud)
- $ 6.79 /hr (Secure Cloud)
- 180 GB VRAM
- 283 GB RAM
- 28 vCPUs
RTX Pro 6000
- $1.69 /hr (Community Cloud)
- $ 2.09 /hr (Secure Cloud)
- 96 GB VRAM
- 188 GB RAM
- 16 vCPUs
H100 NVL
- $2.59 /hr (Community Cloud)
- $ 3.19 /hr (Secure Cloud)
- 94 GB VRAM
- 94 GB RAM
- 16 vCPUs
H100 PCIe
- $1.99 /hr (Community Cloud)
- $ 2.89 /hr (Secure Cloud)
- 80 GB VRAM
- 188 GB RAM
- 16 vCPUs
H100 SXM
- $2.69 /hr (Community Cloud)
- $ 3.49 /hr (Secure Cloud)
- 80 GB VRAM
- 125 GB RAM
- 20 vCPUs
A100 PCIe
- $1.19 /hr (Community Cloud)
- $ 1.59 /hr (Secure Cloud)
- 80 GB VRAM
- 117 GB RAM
- 8 vCPUs
A100 SXM
- $1.39 /hr (Community Cloud)
- $ 1.59 /hr
- 80 GB VRAM
- 125 GB RAM
- 16 vCPUs
Pro 6000 MIG 48GB
- $ 1.09 /hr
- 48 GB VRAM
- 62 GB RAM
- 8 vCPUs
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Command line — “CLI & SDKs. Deploy and manage directly from your terminal.” source
- API — “Full API access. Automate everything with a simple, flexible API.” source
- Official SDKs — “CLI & SDKs. Deploy and manage directly from your terminal.” source
- Runs models for you — “Run API-based AI workloads with serverless GPU endpoints.” source
Latest updates
- Global Volumes - Beta
Mount it at startup across any region; no copying data between data centers required.
- Nano Banana Edit
The Nano Banana Edit endpoint will be retired September 28, 2026. Migrate to Nano Banana 2 Edit.
- Sales tax and tax ID support
Runpod collects sales tax on credit purchases. Add a business tax ID at checkout or in your account settings.