AI code-execution sandbox
Runloop
Runloop provides enterprise "devbox" infrastructure for coding agents — SOC 2, 10K+ parallel instances, git-style disk snapshots with branching, and built-in SWE-bench evaluation.
Last verified 2026-07-26
Runloop targets coding-agent infrastructure at enterprise scale: SOC 2, 10,000+ parallel devboxes, git-style disk snapshots and branching, and built-in SWE-bench / Terminal-Bench evaluation harnesses. An official OpenAI Agents SDK provider.
Key specs
| Isolation | microVM |
| Cold start | 400ms |
| Price / vCPU-hr | $0.108 |
| Pricing model | Plan + usage |
| GPU | No |
| Session limit | Configurable |
| Persistence | Git-style disk snapshots + branching |
| Languages | Python, JavaScript/TypeScript, any |
| MCP support | Yes |
| Integrations | OpenAI Agents SDK |
| Deployment | Managed cloud |
| Free tier | Free basic |
| Pro plan | $250/mo |
| Parallelism | 10K+ devboxes |
Strengths
- SOC 2
- 10K+ parallel instances
- Snapshots + branching
- Built-in SWE-bench
Trade-offs
- Pro plan $250/mo
- Coding-agent-specific focus
Best for: Coding-agent builders needing eval harnesses and massive parallelism.
Alternatives to Runloop
E2B — AI code-execution sandboxDaytona — AI code-execution sandboxModal — AI code-execution sandboxVercel Sandbox — AI code-execution sandbox
Sources: Runloop ↗
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