E2B vs Vercel Sandbox: comparing AI sandbox environments in 2026

E2B and Vercel Sandbox both utilize Firecracker microVMs for isolated code execution but differ significantly in their features and offerings. E2B is an open-source platform, LLM-agnostic, and supports a wide range of languages with custom templates, offering sessions up to 24 hours and enterprise-only BYOC on AWS and GCP. Meanwhile, Vercel Sandbox is integrated within the Vercel ecosystem, supports Node.js and Python runtimes, limits sessions to 5 hours, and lacks a BYOC option, running exclusively in the US East region. While both platforms cater to running AI-generated code, Northflank presents a more comprehensive solution with support for multiple isolation models, self-serve BYOC across various cloud providers, GPU support, and no session time limits, thereby addressing more extensive infrastructure needs. Pricing structures also vary, with E2B and Northflank offering per-second billing, whereas Vercel charges based on active CPU time. These distinctions are crucial for teams assessing their infrastructure needs, particularly concerning session length, runtime flexibility, and regional availability.