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Sandbox Provider Leaderboard

Sandbox Benchmarks

A leaderboard of common benchmarks for each of our sandbox providers.

Last run: June 22, 2026
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Performance Over Time

Composite Score

Detailed Metrics

Provider
Score
Median
P95
P99
Success
Isorun99.20.08s0.10s0.10s100%
Declaw98.00.18s0.23s0.23s100%
Northflank96.60.33s0.37s0.37s100%
E2B93.30.58s0.79s0.82s100%
Daytona93.10.59s0.81s0.85s100%
Modal93.30.65s0.69s0.70s100%
Vercel91.00.81s1.00s1.06s100%
Blaxel91.50.82s0.90s0.91s100%
Tensorlake52.81.21s10.62s10.63s100%
Archil77.02.19s2.44s2.51s100%
Cloudflare71.32.51s3.33s3.56s100%
Runloop66.43.19s3.62s3.62s100%
Upstash27.45.43s12.64s13.02s100%
CodeSandbox23.96.75s8.57s9.46s100%
Hopx0.016.25s16.96s17.01s100%

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Methodology

What We Measure

Every benchmark measures Time to Interactive (TTI) — the elapsed time from calling compute.sandbox.create() to the first successful runCommand() inside the sandbox.

Each provider is tested with 100 iterations per run. Benchmarks run automatically via GitHub Actions on a recurring schedule. All results are committed to the public benchmarks repo.

Sequential Test: Sandboxes are launched one at a time, waiting for each to become interactive before starting the next.

Staggered Test: Sandboxes are launched with 200ms delays between each.

Burst Test: All sandboxes are launched concurrently in a single burst.

How We Score

The Composite Score is a weighted blend of timing metrics multiplied by the success rate. Each metric is scored against a fixed 10-second ceiling: 100 × (1 − value / 10,000ms), so a 200ms median scores 98 and anything ≥10s scores 0.

The weighted timing score is then multiplied by the success rate (0–1), so providers that fail frequently are penalized proportionally.

  • Median: 60% — primary signal for typical experience
  • P95: 25% — tail latency / consistency
  • P99: 15% — extreme tail latency

Sandbox Benchmarks FAQs

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A sandbox is anywhere you can run code in isolation. It could be a VM, bare metal, a container, anywhere with compute resources.