Sandboxer vs OpenAI Containers (Code Interpreter)
OpenAI Containers are sandboxed environments inside the OpenAI API that the model uses for Code Interpreter and hosted shell. They expire after 20 minutes idle and are priced per session. Sandboxer is a long-lived full VM you control directly. Pick OpenAI containers for quick model-run analysis inside an OpenAI app.
Checked against OpenAI Containers (Code Interpreter)'s public docs on October 24, 2026. Sources are linked in the table and listed below.
At a glance
= not documented publicly.
Where OpenAI Containers (Code Interpreter) is strong
- Built into the OpenAI API: the model writes and runs code with no separate infrastructure.
- Memory options of 1g, 4g, 16g and 64g.
- Preinstalled Python 3.11, Node.js 22, Java, PHP, Ruby and Go in the hosted shell.
- Org-level network allow-lists, with domain secrets kept out of model-visible context.
Where Sandboxer differs
- OpenAI containers expire after 20 minutes without use and cannot be reactivated; Sandboxer sandboxes persist and resume.
- Hosted shell has no sudo and no outbound network by default; Sandboxer gives root and public IPv6.
- OpenAI documents no inbound ports or public URLs for containers; Sandboxer exposes any port as an HTTPS URL.
Pick OpenAI Containers (Code Interpreter) if
- Your agent already runs on the OpenAI Responses API and needs quick code execution or data analysis.
- You want zero sandbox infrastructure and per-session pricing.
Pick Sandboxer if
- Each Sandboxer sandbox is a full Ubuntu 24.04 VM with its own kernel, root/sudo, systemd and Docker preinstalled.
- Stopping saves memory and disk and resume brings running processes back; stopped sandboxes cost nothing.
- Coding agents (Claude Code, Codex, OpenCode and others) are preinstalled and driven through a prompt API, with an MCP server, REST API, CLI and TypeScript and Python SDKs.
Sources
Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. OpenAI Containers (Code Interpreter) is a trademark of its owner. Sandboxer is an independent product and is not affiliated with OpenAI Containers (Code Interpreter).
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 Agent37
Agent37 hosts persistent sandboxes for agent harnesses such as Claude Code, Codex and OpenClaw, priced per minute.
- Sandboxer vs AgentComputer
Cloud computers for AI agents running in Firecracker instances, with snapshots and published ports.
- Sandboxer vs Alibaba Cloud Agent Sandbox (AgentRun)
Alibaba Cloud's E2B-compatible VM-isolated agent sandbox (Flash and Container editions) billed per second per vCPU/GiB.
- Sandboxer vs Alibaba Cloud AgentBay
Alibaba Cloud's on-demand cloud sandboxes for AI agents: Linux and Windows computers, browsers, code sandboxes and Android phones.
- Sandboxer vs Amika
Open-source tool for running isolated coding-agent VMs on your own machines, your cloud accounts, or Amika-hosted devboxes.
- Sandboxer vs Amp Orbs
Remote Debian machines where the Amp coding agent works on a thread, pausing when idle and waking with files and processes intact.
- Sandboxer vs Archil
Serverless runtime and persistent Firecracker sandboxes for agents, built on Archil's shared disks and object-storage filesystems.
- Sandboxer vs AWS Bedrock AgentCore (Code Interpreter / Runtime)
Managed AWS services for agents: Runtime hosts agents in per-session microVMs, Code Interpreter runs code in a sandbox.
- Sandboxer vs AWS Lambda MicroVMs
AWS Firecracker-based MicroVMs for sandboxes, suspend/resume with memory and disk preserved, built from a Dockerfile image.