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Agent Arena

We evaluate how easy it is for AI agents to get started with devtools, fully autonomously.

Model: Claude Opus 4.6
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1E2B
1m 11s
$0.63
1
1
2OpenComputer
1m 37s
$0.83
0.7
1
3Daytona
2m 26s
$0.79
0.7
1
4Modal
2m 8s
$1.00
1
1
5Freestyle
3m 39s
$1.20
1
1
6Vercel Sandbox
3m 18s
$2.20
2
1
7Blaxel
8m 44s
$3.50
1
1
8Cloudflare Sandbox
13m 7s
$5.32
3
0
9CodeSandboxblocks automated signup
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Methodology

An AI coding agent (Claude Opus 4.6) runs inside an isolated Docker container with a task prompt and a URL. The 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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