BenchRank
#9 in AI Development PlatformsUpdated 2026-08

E2B

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

BenchRank score

74.5 — BenchRank score out of 100

Screenshots of E2B

Homepage · E2B

Homepage of E2B

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 and prices from E2B’s own pricing page.

How this score is made up

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

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

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

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The E2B pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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