Blaxel vs Daytona
Sandbox Benchmark Comparison · Updated October 30, 2026
vs
Blaxel was faster in both shared sandbox benchmarks.
Head to head
Burst TTI
Median time to interactive over time
BlaxelDaytona
Median total workload time over time
BlaxelDaytona
Cost per DAX run
Blaxel
Active compute (GB-s)$0.0097per run
52.95s median at $0.6624/hr
$0.0000115/GB-s on allocated RAM while active (16 GiB). CPU is derived from memory — 16 GB maps to ~6 cores, not 8. Upper bound shown.
Source pricing pageDaytona
Per-second wall clock$0.014per run
74.40s median at $0.6624/hr
$0.000014/vCPU-s + $0.0000045/GiB-s — identical rates to E2B. Creating/stopping transitions bill as running.
Source pricing pageWork at Blaxel or Daytona? See where you stand every day, with full run logs, not just on benchmark Friday.Get stealth benchmarks →
Methodology
- One workload, every provider. The same script, payload, and model hit every provider, addressed the way its own API expects. Nobody gets a tuned or special path.
- Repeated on a schedule. Every suite runs many iterations per provider, automated on a recurring schedule, so results reflect steady state rather than one lucky request.
- Raw results published. Every run is committed as JSON to the public benchmarks repo, next to the code that produced it. Nothing is cherry-picked or held back.
- How this comparison is built. Each benchmark compares the two providers' medians; results within 5% count as roughly even. A comparison is published only when both providers completed at least 50% of runs in 2 or more shared benchmarks run in the last 30 days. If a provider’s latest run of a benchmark failed, its most recent successful run from that window is used instead.
Frequently asked questions
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Blaxel was faster in both shared sandbox benchmarks. In Burst TTI (October 30, 2026), Blaxel had a median time to interactive of 380ms versus 668ms for Daytona, 1.76x faster. In DAX (October 23, 2026), Blaxel had a median total workload time of 52.95s versus 74.40s for Daytona, 1.40x faster.
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