Most provider comparisons I write start with a price table because the price table usually does half the arguing. This one cannot. E2B and Daytona, the two code sandbox providers live in our catalog, cost exactly the same: $0.0000168 per vCPU-second routed ($0.000014 list). To the unit, to the decimal. When the price axis collapses, you learn what the other axes actually are, which makes this the most instructive comparison in the catalog even if you never run a sandbox.
| E2B | Daytona | |
|---|---|---|
| Routed price per vCPU-second | $0.0000168 | $0.0000168 |
| List price per vCPU-second | $0.000014 | $0.000014 |
| Quality score | 85 | 83 |
(Modal is catalogued and coming soon, and brings GPUs with it, which will make this a three-way with an actual pricing dimension.)
First, why agents need sandboxes at all
If your agent writes and executes code, that code runs somewhere, and “somewhere” must not be your production machine. Model-generated code is untrusted by definition: it can loop forever, eat a disk, or make network calls you never intended. A sandbox API gives you disposable, isolated compute with an API to create, execute, and destroy environments. The billing unit is the vCPU-second: you pay while the sandbox exists, whether or not it is computing, which I will come back to because it is where all the real money in this category lives.
What a tie on price tells you
Two providers pricing identically is not a coincidence; it is a signal that both see the vCPU-second as a commodity and want the decision fought elsewhere. So where is elsewhere?
Ergonomics and ecosystem fit. E2B was built agent-first, and it shows in the surface area: the SDKs are shaped around the “LLM writes code, we execute it, we return output” loop, and it is the name you run into most often in agent frameworks and example repos. That ubiquity is worth something real: more integration paths, more community answers when something breaks. Our score of 85 for E2B, the higher of the pair, mostly reflects that maturity for the agent use case specifically.
Environment model. Daytona comes from the development-environment world, and its sandbox model reflects that heritage: environments that feel like workspaces you configure and reuse patterns against, not just ephemeral execution cells. We score it 83, and the gap to E2B is honestly small. If your workload looks like “spin up a real project environment, run a task inside it, tear it down”, Daytona’s shape may fit more naturally than the execute-this-snippet pattern.
Cold starts and lifecycle. Both providers work hard on sandbox startup time, and both are fast enough that, in my experience, sandbox creation is rarely the long pole in an agent loop compared to the model calls around it. I do not have benchmark numbers I trust enough to print, and vendor-reported startup times are the least comparable numbers in this industry, so I will leave it qualitative: neither has disqualified itself on latency in our routing.
The bill is about teardown, not rates
Here is the thing that matters more than the E2B-versus-Daytona question: at $0.0000168 per vCPU-second, a 2 vCPU sandbox costs about 12 cents per hour of existence. That sounds like nothing until an agent framework leaks sandboxes, and agent frameworks love leaking sandboxes. An orphaned sandbox that lives for a weekend costs more than ten thousand successful five-second executions. Whichever provider you pick:
- Set aggressive idle timeouts.
- Destroy sandboxes in a finally block, not on the happy path.
- Alert on sandbox count, not just spend, because spend alerts fire after the weekend.
The per-unit price being tied and tiny is exactly why lifecycle discipline, not provider choice, is the cost lever. I go deeper on unit-price literacy across categories in understanding per-unit pricing.
How I would choose
- Default to E2B if you are building with mainstream agent frameworks or you want the most-trodden path. The ecosystem gravity is real and our slightly higher score reflects it.
- Pick Daytona if your agents work with full project environments rather than snippets, or if you simply prefer its API shape after an afternoon with both. At identical prices, an afternoon of trying both is cheap due diligence.
- Use both if execution is load-bearing for your product. Identical pricing makes this the rare category where failover is literally free: same cost, doubled availability. Our router treats them as a chain, tries up to three providers on failure, and skips either one if its error rate crosses 30% over five minutes. The response tells you which sandbox actually served the call via the routing.attempted chain, and saved routing preferences let you flip the primary without touching code.
The meta-lesson from a tied price table: when vendors price identically, they are telling you the product is the differentiator. Believe them, and evaluate the product.
Current numbers for the category, straight from our open catalog, are on the code sandbox comparison page.