Browser Throughput

Per-action throughput inside a running session — 10 sequential actions across 100 sessions per provider.

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Last run: August 28

Performance Over Time

Composite Score

Per-Action Latency Breakdown

Median latency per action type. Each action type is timed individually.

Detailed Metrics

Provider
Score
Actions/sec
Task (med)
Task (p95)
Screenshot
Navigate
Click
Kernel81.36.071.65s2.16s231ms492ms229ms
Tilion73.44.442.25s3.60s205ms342ms373ms
Browserbase72.94.252.35s3.04s264ms798ms298ms
Browser Use70.13.662.73s3.16s248ms689ms573ms
Hyperbrowser67.73.283.05s3.97s427ms702ms454ms
Steel57.73.053.28s8.91s343ms371ms596ms
Notte51.41.267.93s9.77s1039ms801ms2352ms

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Methodology

What We Measure

Each session executes 10 sequential actions inside a single running browser: navigate → waitForSelector → screenshot → textContent → click → waitForSelector → screenshot → textContent → goBack → waitForSelector, on Wikipedia.

Every action is timed individually. A failed action does not abort the session — the sequence continues and the failure is recorded. This lets us observe degradation patterns rather than discarding unlucky sessions.

Each provider runs 100 sessions per benchmark run. All sessions use stealth mode and a 1920×1080 viewport to match realistic agent conditions. Benchmarks run weekly via GitHub Actions and results are committed to the public benchmarks repo.

How We Score

The Composite Score (0–100, higher is better) weights four axes that matter for agent workloads, then multiplies by success rate so flaky providers can't hide behind fast averages.

  • Actions/sec median: 40% — primary throughput signal
  • Task duration median: 25% — typical session cost
  • Task duration p95: 20% — tail consistency
  • Screenshot median: 15% — vision-agent proxy

The final score is multiplied by success rate — the fraction of sessions that completed all 10 actions. A provider that fails 1 in 10 actions is penalized proportionally.

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