Stay free if you only need up to 1 hour sandbox lifetime and limited concurrent sandboxes. Upgrade if you need self-hosted and on-premise deployment and soc 2 type ii compliance. Most solo builders can start free.
Why it matters: No GPU support currently available, limiting use cases that require machine learning inference, training, or GPU-accelerated computational workloads
Available from: Pro
Why it matters: Ephemeral sandbox nature means all data is permanently lost upon termination unless explicitly exported, requiring careful data management strategies
Available from: Pro
Why it matters: Per-second usage-based pricing model can escalate costs quickly for high-volume automated code execution or long-running computational tasks
Available from: Pro
Why it matters: Cloud-only deployment with no option for on-premises or offline installation, creating dependency on external infrastructure and internet connectivity
Available from: Pro
Why it matters: Limited to Linux-based environments within Debian sandbox images, potentially restricting compatibility with Windows-specific applications or frameworks
Available from: Pro
Why it matters: Network latency between client and sandbox can impact performance for simple computational tasks compared to local code execution environments
Available from: Pro
E2B provides secure cloud sandboxes for executing AI-generated code. It is most commonly used by developers building AI agents, coding copilots, and data-analysis assistants who need a safe, isolated environment to run untrusted code produced by LLMs without risking their own infrastructure.
E2B uses Firecracker microVMs rather than containers, which provides hardware-level isolation with a dedicated kernel per sandbox. This is significantly more secure than container isolation (shared host kernel) when running untrusted LLM-generated code, while still booting in under a second.
E2B offers native SDK integrations and documented patterns for LangChain, LlamaIndex, OpenAI Assistants API, Anthropic Claude tool use, and the Vercel AI SDK. The Python and TypeScript SDKs make it straightforward to plug sandbox execution into any custom agent loop.
Yes. E2B Desktop is a sandbox variant that provides a full Linux desktop environment accessible via VNC, allowing computer-use agents to control a browser, IDE, or arbitrary GUI applications. This is the same primitive used by many production browser-automation and computer-use agents.
E2B has a free Hobby tier with $100 of compute credit to start. The Pro plan is $150/month and includes higher concurrency, longer sandbox lifetimes, and team features, plus per-second compute usage charges. Enterprise pricing covers self-hosted/on-prem deployments, SOC 2, and custom SLAs.
Start with the free plan — upgrade when you need more.
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Last verified March 2026