Agent37 vs Tensorlake
Sandbox Benchmark Comparison · Updated November 6, 2026
vs
Tensorlake was faster in the only shared sandbox benchmark.
Head to head
- Burst TTITime to interactive · lower is betterTensorlake faster1.51x
Agent37
2.35sTensorlake
1.55s
Burst TTI
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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 shared sandbox benchmark. In Burst TTI (November 6, 2026), Tensorlake had a median time to interactive of 1.55s versus 2.35s for Agent37, 1.51x faster.
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