Which is better, Daytona or AWS Lambda MicroVMs?
It depends on what the agent needs to reach. For agents that mostly wait on a model, Runtime has the lowest bill, $0.64 for the benchmark against $2.76 on Daytona and $4.20 on Lambda, with Firecracker on every sandbox, and Daytona SDK code runs after one import change. Pick Daytona for GPU sandboxes, Windows machines, an EU region or the largest free start; pick Lambda MicroVMs to reach private AWS resources through your VPC under IAM.
At a glance
| Daytona | AWS Lambda MicroVMs | Runtime | |
|---|---|---|---|
| Isolation | Containers by default; VM sandboxes as a separate class | Firecracker microVM | Firecracker microVM, own kernel, every sandbox |
| CPU | $0.0504 per allocated vCPU-hour | $0.0000276944 per baseline vCPU-second | $0.025 per vCPU-hour of measured CPU, with a small floor |
| Memory | $0.0162 per GiB-hour | $0.0000036667 per GB-second | $0.0075 per reserved GiB-hour |
| Idle | Stops after 15 idle minutes by default | Suspends after an idle time you set; 8 h life | Pause keeps memory while you have credit |
| Regions | US and EU | AWS regions | One US region |
| Free start | $200 of compute | No free tier for MicroVMs | 100 free hours of a 1 GB machine in the first 30 days, no card |
| GPUs, Windows | Both offered | Neither | Neither |
The isolation question
A Daytona sandbox is a container unless you choose its VM class, which is where Daytona offers pause with memory and forks. Every Lambda MicroVM is a Firecracker guest, as is every Runtime sandbox, so the kernel boundary is the default rather than an option. For agents running code nobody has read, that default is the one that matters.
Cost for the same job
Same shape everywhere: 2 vCPU and 4 GiB (a 4 GB baseline on Lambda), 60 seconds a run, 20 CPU-seconds of work, 1,000 runs.
- CPU
- 1,000 × 60 s / 3,600 × 2 × $0.0504
- $1.68
- Memory
- 1,000 × 60 s / 3,600 × 4 × $0.0162
- $1.08
- CPU
- 1,000 × 60 s × 2 × $0.0000276944
- $3.32
- Memory
- 1,000 × 60 s × 4 × $0.0000036667
- $0.88
- CPU
- 1,000 × 20 s / 3,600 × $0.025
- $0.14
- Memory
- 1,000 × 60 s / 3,600 × 4 × $0.0075
- $0.50
A month of 100,000 such runs: $276.00 on Daytona, $420.33 on Lambda MicroVMs, $63.89 on Runtime. Kept busy for the whole minute on both CPUs, it is $2.76 on Daytona, $4.20 on Lambda and $1.33 on Runtime.
Which one to pick
- Daytona for GPU sandboxes, Windows machines, an EU region or the largest free start of the three.
- Lambda MicroVMs when the agent must reach private AWS resources through your VPC under IAM.
- Runtime for Firecracker on every sandbox at the lowest price, memory
kept across pauses for up to a year, and
withruntime/daytona, which runs Daytona SDK code after one import change.
Related: Runtime vs Daytona, Runtime vs AWS Lambda MicroVMs.
Runtime Cloud
Runtime costs 77% less than Daytona and 85% less than Lambda MicroVMs for an agent that waits on a model. The benchmark, 1,000 one-minute runs of a 2 vCPU, 4 GiB sandbox with 20 CPU-seconds of work each, is $2.76 on Daytona, $4.20 on AWS Lambda MicroVMs and $0.64 on Runtime, where every sandbox is a Firecracker microVM with its own kernel.
Sign in with npx withruntime login to start on the free usage, and swap the Daytona import as the migration guide shows.
Sources
Daytona rates checked 25 October 2026; Lambda rates checked 25 October 2026.
Facts on this page were checked on 26 October 2026.