Sandboxer vs Modelence
Modelence is a production hosting platform: it runs always-on backends, workers and managed MongoDB, Postgres and Redis on AWS, driven from one config file. It hosts apps rather than offering machines to log into. Pick Modelence to run an agent-built app in production; pick Sandboxer for isolated development machines.
Checked against Modelence's public docs on October 24, 2026. Sources are linked in the table and listed below.
At a glance
= not documented publicly.
Price for one 4 vCPU, 8 GB machine
List prices from each provider's pricing page, before free credits, plans and storage. This compares price only.
Where Modelence is strong
- Managed MongoDB, Postgres and Redis are provisioned from the config with URLs injected.
- It runs on AWS in 17 selectable regions.
- Production autopilot restarts crashed processes and reroutes traffic.
- A 99.9% uptime target and status page are published.
Where Sandboxer differs
- Modelence runs production apps; Sandboxer runs development and agent machines.
- Modelence bills fixed container sizes hourly under a plan; Sandboxer bills per second and stopped sandboxes cost nothing.
- Modelence has 17 AWS regions; Sandboxer has one.
- Modelence has no documented root access, Docker or nested virtualisation.
Pick Modelence if
- You want to host a production backend with managed databases and monitoring.
- You need to pick from many AWS regions for data residency.
- You want an open-source framework with a matching cloud.
Pick Sandboxer if
- You need a full Ubuntu VM with root, systemd and Docker inside a microVM with its own kernel.
- You want stop/resume that keeps running processes and memory, and forks from disk snapshots.
- You want coding agents (Claude Code, Codex and others) preinstalled and driven through a prompt API.
Sources
Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. Modelence is a trademark of its owner. Sandboxer is an independent product and is not affiliated with Modelence.
Other comparisons
Firecracker microVMs with memory-preserving pause and fork, and an open-source stack.
Many sandbox classes, from containers to VMs, Windows and GPUs.
Massive scale and GPUs for short-lived sandboxes, gVisor by default.
Firecracker microVMs billed on active CPU, inside the Vercel platform.
- Sandboxer vs Aptible
Compliance-focused PaaS that runs Docker apps and managed databases on dedicated or shared stacks.
- Sandboxer vs AWS Fargate
Serverless container runtime for Amazon ECS: you give it a container image and CPU/memory, AWS runs the task.
- Sandboxer vs Azure Container Apps
Serverless container platform with scale-to-zero, per-second billing, jobs, GPUs, and dynamic sessions for sandboxed code.
- Sandboxer vs Clever Cloud
European PaaS that deploys apps and Docker images onto per-instance VMs with autoscaling and per-second billing.
- Sandboxer vs Cloudflare Workers for Platforms
Cloudflare product for platforms to run customer or AI-generated code in isolated Workers on its global network.
- Sandboxer vs Fly.io Machines
Fast-launching VMs from container images, controlled by a REST API, with per-second billing and region choice.
- Sandboxer vs Heroku
Salesforce's long-running PaaS that runs apps in dynos (containers) with add-on data services.
- Sandboxer vs Hugging Face Jobs
Pay-per-second batch compute on Hugging Face infrastructure: run a command in a Docker image on CPU, GPU or TPU hardware.
- Sandboxer vs InsForge
Open-source backend platform for AI-built apps (Postgres, auth, storage, functions) with a managed cloud and long-running compute containers.