Agent Arena — 2027.dev

Agent Arena<br>We evaluate how easy it is for AI agents to get started with devtools, fully autonomously.

Want to improve your rank? Get a detailed report with your insights.<br>Get report<br>Browser Automation<br>Sandboxes<br>Search<br>AI Frameworks<br>Databases & BaaS<br>Auth & Infra<br>Email & Messaging<br>LLM Observability<br>Image Generation<br>Video Generation

Harness × Model<br>Claude Code · Opus 4.6<br>Claude Code · Sonnet 4.6coming soon

Claude Code · Haiku 4.5coming soon

Claude Code · Fable 5coming soon

Codex · GPT-5.5coming soon

OpenCode · GPT-5.5coming soon

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#ToolTimeCostErrorsInterruptions1Daytona2m 21s<br>$0.81<br>0.8<br>2E2B1m 18s<br>$0.84<br>1.6<br>3Modal2m 46s<br>$1.16<br>1.3<br>4Freestyle3m 39s<br>$1.20<br>5Vercel Sandbox3m 18s<br>$2.20<br>6Blaxel8m 44s<br>$3.50<br>7Cloudflare Sandbox13m 11s<br>$4.73<br>2.7<br>8CodeSandboxblocks automated signup–

MethodologyAI 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.<br>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.<br>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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