--- title: Comparing AI agent sandbox platforms: E2B, Modal,... description: A detailed comparison of 15 AI agent sandbox platforms across five key dimensions: cold start latency, isolation model, session persistence, SDK ergonomics,... canonical: https://daily.dev/posts/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more-i5anjtog0 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Comparing AI agent sandbox platforms: E2B, Modal, Daytona, and more | daily.dev og:description: A detailed comparison of 15 AI agent sandbox platforms across five key dimensions: cold start latency, isolation model, session persistence, SDK ergonomics,... og:url: https://daily.dev/posts/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more-i5anjtog0 og:image: https://api.daily.dev/og/posts/I5AnJToG0.png og:image:alt: Comparing AI agent sandbox platforms: E2B, Modal, Daytona, and more og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Comparing AI agent sandbox platforms: E2B, Modal, Daytona, and more **[LogRocket](https://daily.dev/sources/logrocket)** · 14 min read · 0 upvotes · 0 comments ## Summary A detailed comparison of 15 AI agent sandbox platforms across five key dimensions: cold start latency, isolation model, session persistence, SDK ergonomics, and pricing. Includes independently measured benchmark data (not vendor claims) for cold start and resume times across E2B, Daytona, Modal, Blaxel, and Vercel. Key findings: E2B is fastest at 717ms create/662ms resume; isolation is a stack not a checkbox (referencing the AWS AgentCore DNS-tunneling vulnerability); billing model can invert cost rankings by workload shape, with active-CPU platforms like Modal winning bursty workloads while full-duration platforms like E2B win stateful long-running agents. Includes code examples for E2B pause/resume and Modal snapshot/fork patterns, plus a decision framework for choosing based on your binding constraint. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What are the measured cold start times for E2B, Daytona, Modal, and Vercel sandboxes? E2B is fastest at 717ms to create and 662ms to resume. Daytona creates in 742ms but resumes slower at 1254ms due to its stop-then-start flow. Modal has the slowest create at 2437ms, with snapshot-boot (not true resume) at 2347ms. Vercel creates in 1852ms and resumes in 3333ms — the only platform where resume takes longer than fresh create. _Teams shipping AI coding assistants track sandbox performance tradeoffs like these on daily.dev._ ### How does billing model affect AI sandbox costs for bursty vs long-running agents? For a bursty agent running 30,000 sessions/month with 30s of active CPU per 5-minute session, Modal costs ~$36 vs ~$414 for E2B or Daytona, because Modal charges only active compute. For 50 long-running stateful agents active 2hr/day, E2B and Daytona land near $533 while Vercel reaches ~$3,800 because keeping sandboxes resident for instant resume means memory bills across all 24 hours. _Developers modeling sandbox costs at scale find workload-specific pricing breakdowns like this on daily.dev._ ### What security vulnerability was found in AWS AgentCore sandbox isolation? AWS AgentCore runs on Firecracker microVMs, but its 'Sandbox' mode still permitted outbound DNS A and AAAA queries despite promising no external access. Researchers built a command-and-control channel over DNS and used the sandbox's over-broad IAM role to read S3 buckets containing PII and credentials. AWS initially called this intended functionality, then remediated DNS tunneling on April 15, 2026. _Engineers hardening AI agent infrastructure follow sandbox security disclosures like this on daily.dev._ ## Similar posts on daily.dev - [Sandboxing AI-Generated Code in 2026: A Real Comparison](https://daily.dev/posts/sandboxing-ai-generated-code-in-2026-a-real-comparison-1m0rjjqj6) · Alex CloudStar · 0 upvotes · 0 comments - [The Best AI Agent Runtime Tools & Platforms in 2026](https://daily.dev/posts/the-best-ai-agent-runtime-tools-platforms-in-2026-nm1cyl8jz) · Orca Security Blog · 0 upvotes · 0 comments - [Every dev should know about AI sandboxes](https://daily.dev/posts/every-dev-should-know-about-ai-sandboxes-cfpxzueug) · Engineer’s Codex · 1 upvotes · 0 comments - [The Agent Harness Belongs Outside the Sandbox](https://daily.dev/posts/the-agent-harness-belongs-outside-the-sandbox-svquzjusi) · Hacker News · 0 upvotes · 0 comments --- [View this post on daily.dev](https://daily.dev/posts/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more-i5anjtog0) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Comparing AI agent sandbox platforms: E2B, Modal, Daytona, and more","url":"https://daily.dev/posts/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more-i5anjtog0","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more-i5anjtog0"},"datePublished":"2026-08-10T10:19:16.376Z","dateModified":"2026-08-10T10:19:55.695Z","description":"A detailed comparison of 15 AI agent sandbox platforms across five key dimensions: cold start latency, isolation model, session persistence, SDK ergonomics,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b06e84080537d1acce286384de718733?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b06e84080537d1acce286384de718733?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"LogRocket","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"LogRocket","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/logrocket","url":"https://daily.dev/sources/logrocket"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more-i5anjtog0","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"","timeRequired":"PT14M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"LogRocket","item":"https://daily.dev/sources/logrocket"},{"@type":"ListItem","position":3,"name":"Comparing AI agent sandbox platforms: E2B, Modal, Daytona, and more"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more-i5anjtog0#faq","mainEntity":[{"@type":"Question","name":"What are the measured cold start times for E2B, Daytona, Modal, and Vercel sandboxes?","acceptedAnswer":{"@type":"Answer","text":"E2B is fastest at 717ms to create and 662ms to resume. Daytona creates in 742ms but resumes slower at 1254ms due to its stop-then-start flow. Modal has the slowest create at 2437ms, with snapshot-boot (not true resume) at 2347ms. Vercel creates in 1852ms and resumes in 3333ms — the only platform where resume takes longer than fresh create. Teams shipping AI coding assistants track sandbox performance tradeoffs like these on daily.dev."}},{"@type":"Question","name":"How does billing model affect AI sandbox costs for bursty vs long-running agents?","acceptedAnswer":{"@type":"Answer","text":"For a bursty agent running 30,000 sessions/month with 30s of active CPU per 5-minute session, Modal costs ~$36 vs ~$414 for E2B or Daytona, because Modal charges only active compute. For 50 long-running stateful agents active 2hr/day, E2B and Daytona land near $533 while Vercel reaches ~$3,800 because keeping sandboxes resident for instant resume means memory bills across all 24 hours. Developers modeling sandbox costs at scale find workload-specific pricing breakdowns like this on daily.dev."}},{"@type":"Question","name":"What security vulnerability was found in AWS AgentCore sandbox isolation?","acceptedAnswer":{"@type":"Answer","text":"AWS AgentCore runs on Firecracker microVMs, but its 'Sandbox' mode still permitted outbound DNS A and AAAA queries despite promising no external access. Researchers built a command-and-control channel over DNS and used the sandbox's over-broad IAM role to read S3 buckets containing PII and credentials. AWS initially called this intended functionality, then remediated DNS tunneling on April 15, 2026. Engineers hardening AI agent infrastructure follow sandbox security disclosures like this on daily.dev."}}]} ```