Sandboxer vs Blaxel
Blaxel is a sandbox platform for AI agents built around fast standby and resume, with memory state and processes kept across scale-down. It differs from Sandboxer mainly in latency focus and a RAM-based billing model, while Sandboxer is a full Ubuntu VM with Docker, nested KVM and preinstalled coding agents. Pick Blaxel for very fast resume and multi-region placement; pick Sandboxer for a general-purpose VM.
Checked against Blaxel'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 Blaxel is strong
- Memory state and running processes are kept across standby, with resume under 25 ms.
- Preview URLs for ports are built in.
- Four regions and private networking or bring-your-own-metal options.
- Standby time is not billed as active compute.
Where Sandboxer differs
- Blaxel bills by RAM and scales CPU automatically, while Sandboxer prices fixed sizes by the hour.
- Blaxel docs do not state root access, Docker or nested virtualization, which Sandboxer provides.
- Starter quotas set TTLs, while Sandboxer paid plans allow no time limit.
Pick Blaxel if
- You need sub-100 ms resume from standby.
- You want a choice of regions in the US and Europe.
- You want to run on your own metal.
Pick Sandboxer if
- Your workload needs a full Ubuntu VM with systemd, Docker preinstalled and nested KVM.
- You want coding agents (Claude Code, Codex, OpenCode, Pi, Kimi Code, Mistral Vibe) preinstalled and driven through a prompt API.
- You want stop/resume that keeps memory and running processes, with sessions that can run with no time limit on a paid plan.
Sources
Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. Blaxel is a trademark of its owner. Sandboxer is an independent product and is not affiliated with Blaxel.
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