Tensorlake vs Upstash
Sandbox Benchmark Comparison · Updated October 30, 2026
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Tensorlake and Upstash were each faster in 1 of 2 shared sandbox benchmarks.
Head to head
Burst TTI
Median time to interactive over time
TensorlakeUpstash
Median total workload time over time
TensorlakeUpstash
Cost per DAX run
Tensorlake
Active CPU + allocated RAM$0.017per run
78.16s median at $0.8000/hr
$0.07/core-hr active CPU + $0.015/GB-hr RAM (on-demand rates; Pro is ~40% lower).
Source pricing pageUpstash
Active CPU$0.0064per run
57.26s median at $0.4000/hr
Large box (8 vCPU / 16 GB): $0.40/active-CPU-hour — assumes 100% CPU utilization for the whole build.
Source pricing pageWork at Tensorlake or Upstash? 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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Tensorlake and Upstash were each faster in 1 of 2 shared sandbox benchmarks. In Burst TTI (October 30, 2026), Tensorlake had a median time to interactive of 1.03s versus 1.93s for Upstash, 1.88x faster. In DAX (October 23, 2026), Upstash had a median total workload time of 57.26s versus 78.16s for Tensorlake, 1.36x faster.
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