E2B vs Daytona: what does a completed agent task cost?

E2B and Daytona give your agent somewhere to run code. Your application still chooses the model, authorizes tools, tracks the task, and decides whether the result is acceptable. Compare the execution environment and its lifecycle before comparing agent demos built on top of it.

The surprising part of their current price sheets is how little the base compute rates separate them. Both list the equivalent of $0.0504 per vCPU-hour and $0.0162 per GiB-hour of memory. Subscription fees, session limits, retained state, and failed work can matter more than that shared rate.

Separate the subscription from the usage bill

Sources: E2B pricing and Daytona pricing. E2B publishes per-second rates; the table converts them to hours. Its $100 Hobby credit is one-time. Daytona advertises $200 in introductory compute credits. Neither should be treated as a recurring allowance without confirming the offer. Specialized resources, storage, and commercial terms need their own estimate.

A worked compute example

Suppose a batch occupies a total of 100 sandbox-hours, each with two vCPUs and four GiB of memory. This is an illustrative workload, not a measured benchmark or a promise that both providers finish the same work in the same time.

CPU:    2 × $0.0504 × 100 hours = $10.08
Memory: 4 × $0.0162 × 100 hours =  $6.48
Base running compute:                    $16.56

Then add subscription, storage, model/API calls,
retries, and any paid capacity or support.

That arithmetic makes the plan decision visible: a Pro subscription may buy needed duration or concurrency even when the compute bill is small. Conversely, a short trial can fit within a lower tier while revealing nothing about your eventual burst capacity. Test the queue at the concurrency you actually need.

Decide what must survive an idle period

E2B documents pause and resume with filesystem and memory state saved by default. A filesystem-only mode is also available and reboots on resume. The same documentation describes a pause that can be refused while a previous snapshot is finishing: the sandbox keeps running. Confirm the resulting state before recording a job as paused or assuming its runtime has stopped.

Daytona distinguishes sandbox classes in its lifecycle documentation. Container sandboxes cannot pause; stopping preserves files but clears memory. Supported VM sandboxes can pause with both preserved. Choose the class that matches your checkpoint needs rather than treating “persistence” as one feature shared by every configuration.

Daytona’s persistence guide also separates filesystem state, memory state, snapshots, and volumes. Map those to the work: a generated CSV may only need durable file storage; a live interpreter session may need memory preservation. Keep accepted results outside a disposable runtime so deletion or recreation does not erase the only copy.

Give both services the same recovery test

Use a synthetic CSV with a known total and ask your agent to generate a report. Freeze the model, prompt, dependencies, and expected output. Change only the sandbox implementation for the first comparison.

1. Fresh start: create the environment, install or load dependencies, run the task, and download the result. Validate the total and file contents.
2. Idle and resume: save a file and an in-memory variable, apply the chosen lifecycle operation, reconnect, and check what survived.
3. Failure: interrupt a run before the result is saved. Check whether a retry duplicates work and whether the application can recognize an incomplete result.
4. Cleanup: delete the runtime and inspect retained resources and usage. Confirm that a second customer cannot access the first customer’s files or credentials.

Record time to a verified result, billed runtime, storage, errors, and human intervention. Divide the total cost of all attempts by accepted results, including failed attempts in the numerator. Startup latency alone cannot show whether a service reduces the cost of completed work.

Which should you trial first?

E2B is a reasonable first trial when its SDK and default pause/resume behavior match an interactive code-execution workflow. Check whether the session and concurrency tier covers that workflow. Daytona is a reasonable first trial when you want to choose explicitly among sandbox classes and lifecycle behaviors or bring an image-based environment. Its SDK, API, and CLI documentation provides the entry points.

These are architectural starting points. Neither the matching rates nor a vendor’s startup claim establishes a reliability winner. Keep the accepted output, resource configuration, and recovery log with your decision so the next trial is comparable.

Sources checked October 16, 2026. This is a documentation-based comparison. We have not benchmarked these products; the proposed trials and selection criteria are our analysis. Confirm current prices and plan terms before buying.