Agent Arena: Benchmarking AI Agent Devtool Onboarding
Agent Arena evaluates how easily AI agents can autonomously get started with developer tools. Agents run in isolated Docker containers, autonomously discover docs, install packages, write code, and verify results. Rankings are based on time, cost, errors, and interruptions.
Agent Arena — 2027.dev
Agent Arena
We evaluate how easy it is for AI agents to get started with devtools, fully autonomously.
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1Daytona
2m 21s
$0.81
0.8
1
2E2B
1m 18s
$0.84
1.6
2
3Modal
2m 46s
$1.16
1.3
1
4Freestyle
3m 39s
$1.20
1
1
5Vercel Sandbox
3m 18s
$2.20
2
1
6Blaxel
8m 44s
$3.50
1
1
7Cloudflare Sandbox
13m 11s
$4.73
2.7
0
8CodeSandboxblocks automated signup
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Methodology
AI coding agents run inside isolated Docker containers with a task prompt and a URL. Each agent must autonomously discover docs, install packages, write working code, and verify the result — all without human help beyond providing API credentials when asked.
How rankings work: providers in the same category are ranked against each other on four dimensions — Time, Cost, Errors, and Interruptions. Within a category, the per-dimension rankings combine into an overall position. Less time, lower cost, fewer errors, and fewer interruptions all improve a provider's standing. No composite score, no letter grades.
All tool calls, errors, timing, and token usage are recorded. Rankings are deterministic from session logs. Multiple independent runs per provider are aggregated.
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