sfcompute vs Novita

Sandbox Benchmark Comparison · Updated October 30, 2026

sfcompute was faster in both shared sandbox benchmarks.

Head to head

  • Burst TTITime to interactive · lower is better
    sfcompute faster4.38x
    sfcompute
    322ms
    Novita
    1.41s
  • DAXTotal workload time · lower is better
    sfcompute faster1.94x
    sfcompute
    41.72s
    Novita
    81.07s

Burst TTI

October 30, 2026

sfcompute

100% success
Median
322ms
p95
467ms
p99
494ms
sfcompute Burst TTI results

Novita

100% success
Median
1.41s
p95
1.99s
p99
2.03s
Novita Burst TTI results

Median time to interactive over time

4 runs · October 16, 2026 to October 30, 2026
sfcomputeNovita

sfcompute

100% success · October 9, 2026
Median
41.72s
sfcompute DAX results

Novita

100% success · October 30, 2026
Median
81.07s
Novita DAX results
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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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sfcompute was faster in both shared sandbox benchmarks. In Burst TTI (October 30, 2026), sfcompute had a median time to interactive of 322ms versus 1.41s for Novita, 4.38x faster. In DAX (October 9, 2026), sfcompute had a median total workload time of 41.72s versus 81.07s for Novita, 1.94x faster.

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