# Quivvo vs E2B

Both Quivvo and E2B give AI agents isolated cloud machines. The main differences are price and session length: a 2 vCPU, 4 GiB machine costs $0.054 per running hour on Quivvo and about $0.166 on E2B, and E2B's pricing page limits sessions to 1 hour on Hobby and 24 hours on Pro, while Quivvo machines have no session limit. E2B has been around longer, offers SDKs and has an enterprise tier.

## How do they compare?

| | Quivvo | E2B |
| --- | --- | --- |
| 2 vCPU + 4 GiB, per running hour | $0.054 | $0.166 |
| Per vCPU-hour | $0.005 | $0.0504 |
| Per GiB-hour of memory | $0.011 | $0.0162 |
| Disk | $0.20 per GiB-month | Included: 10 GiB on Hobby, 20 GiB on Pro |
| Longest session | No limit; suspends when idle | 1 hour on Hobby, 24 hours on Pro |
| Ways to drive it | CLI, REST API, hosted MCP server, TypeScript and Python SDKs | SDKs and API |
| Bring your own cloud | No | Yes, on Enterprise |

E2B's figures come from [its pricing page](https://e2b.dev/pricing), read on 31 October 2026. The hourly prices are our arithmetic from its per-second rates.

## When should I choose E2B?

Choose E2B if you need a bring-your-own-cloud deployment, or want a provider with a long record: its site says more than 2 billion sandboxes have run on it. Quivvo doesn't offer bring-your-own-cloud.

## When should I choose Quivvo?

Choose Quivvo if your agents do long-running work and you want a machine that keeps its state rather than a session that ends. A Quivvo machine has root, Docker on the default template and a persistent disk at `/data`. It suspends when idle, keeping memory and processes when it can and otherwise stopping, which keeps the disk, and wakes on the next command. It also costs about a third as much per running hour at list price, and its prepaid credit doesn't expire.

See the [full pricing comparison](https://tryquivvo.com/compare/sandbox-pricing).