Archil vs Tensorlake

Sandbox Benchmark Comparison · Updated November 6, 2026

Tensorlake was faster in the only sandbox benchmark with a speed verdict.

Head to head

  • Burst TTITime to interactive · lower is better
    Tensorlake faster1.60x
    Archil
    2.48s
    Tensorlake
    1.55s
  • DAXTotal workload time · lower is better
    No verdict
    Archil
    —
    Tensorlake
    78.16s

Burst TTI

November 6, 2026

Archil

100% success
Median
2.48s
p95
3.08s
p99
3.12s
Archil Burst TTI results

Tensorlake

100% success
Median
1.55s
p95
1.82s
p99
1.84s
Tensorlake Burst TTI results

Median time to interactive over time

87 runs · May 6, 2026 to November 6, 2026
ArchilTensorlake

Archil

0% success · October 30, 2026

No measured time in this run.

Archil DAX results

Tensorlake

100% success · October 23, 2026
Median
78.16s
Tensorlake 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 when both providers have at least one successful run in the same benchmark from the last 30 days. A benchmark only gets a verdict when both providers completed at least 50% of its runs. 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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Tensorlake was faster in the only sandbox benchmark with a speed verdict. In Burst TTI (November 6, 2026), Tensorlake had a median time to interactive of 1.55s versus 2.48s for Archil, 1.60x faster.

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