#9 in AI Development PlatformsUpdated 2026-08

E2B

by E2B · Isolated cloud sandboxes for running AI-generated code

73.2 — BenchRank score out of 100

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Overview

E2B runs isolated cloud sandboxes that AI agents use to execute code, install packages, use a terminal or browser, and read and write files. Each sandbox is a Firecracker microVM created from Node.js or Python SDKs, and can run for up to 24 hours. It is LLM-agnostic and can be self-hosted, run on-prem, or run in your own AWS, GCP or Azure account.

Best for: Teams giving AI agents an isolated Linux sandbox to run generated code, use a terminal and browse
Pricing: Free Hobby tier with a one-time $100 of usage credits, Pro at $150/month, and custom enterprise pricing, with per-second usage costs on top from $0.000014/s for 1 vCPU.
Runs on: WebSelf-hostedCLI

Strengths and trade-offs

Strengths

Sandboxes in the same region as the client start in 80 ms
Runs any language or library that works on a Linux box
Firecracker microVMs isolate untrusted workloads
Free tier with $100 of credits and no card required

Trade-offs

24-hour sessions and custom CPU/RAM need the $150/mo Pro plan
Per-second usage costs are charged on top of every plan fee
Free tier caps sessions at 1 hour and 20 concurrent sandboxes
Enterprise tier pricing is not published

Pricing

Published plans from E2B’s own pricing page, in USD. Usage charges and add-ons may apply on top.

E2B pricing tiers, monthly rates in USD
Plan	Monthly	Includes
Hobby	Freeper account, plus usage costs	One-time $100 of usage in credits Community support Up to 1-hour sandbox session length Up to 20 concurrently running sandboxes
Pro	$150per account, plus usage costs	Everything in the Hobby tier Customise sandbox CPU and RAM Up to 24-hour sandbox session length Up to 100 concurrent sandboxes, extra concurrency to 1,100
Ultimate	Contact sales	Custom solution with special pricing Usage costs charged separately

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support: 92 out of 100
API quality: 65 out of 100
Documentation: 100 out of 100
Agent friendliness: 85 out of 100
Pricing transparency: 85 out of 100
Changelog: 0 out of 100
Marketing site structure: 75 out of 100
Operational trust: 35 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness: 85 out of 100
Maintenance: 100 out of 100

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