The same prompt, two different answers — at temperature 0
non-deterministicAnswer A — 6 of 11 runs
295.42
Answer B — 5 of 11 runs
296.58
TempZero runs a fixed battery of prompts against LLM providers every hour, at temperature 0, from outside their network — and keeps every raw answer. When your pipeline starts behaving differently, you get an answer instead of a theory.
Independent. We don’t resell inference, we don’t serve models, we have nothing to protect.
Every row below is a real measurement from our own probes on 17 October 2026, not an illustration. Each one is shown the way the product shows it: the prompt, what the model used to answer, what it answers now. You verify it with your own eyes — there is no similarity score to take on faith.
295.42
296.58
{"name":"Acme Ltd","date":"2026-03-04"}
{"name":"Acme Ltd","date":"March 4th, 2026"}
200 OK · llama-3.3-70b-versatile
404 · {"error":{"code":"model_not_found"}}
We don’t predict which model is best. We record what every model actually did, hour after hour, so that when something changes there is a before to compare against.
Latency probes from outside the provider’s network, on a fixed cadence.
Twelve prompts that never change, at temperature 0, with every raw answer stored.
What the provider charges and offers, tracked instead of announced.
Langfuse, Helicone, LangSmith and Braintrust are good at what they do, and TempZero replaces none of them. But they all measure your own requests, from inside your own system. When your outputs shift, your own traffic cannot tell you whether the cause was your last deploy or the provider’s — there is no independent baseline to compare against. That is the one question we exist to answer.
| Source | Vantage point | Independent baseline | Catches silent drift | Conflict of interest |
|---|---|---|---|---|
| TempZero | Outside-in, fixed prompts | yes | yes | None — we sell nothing else |
| LLM observability tools | Inside your own traffic | no | partial | None |
| Provider status pages | Self-reported | no | no | Reports on itself, late |
| Benchmark leaderboards | Periodic headline scores | partial | no | A media property, not an ops tool |
| Inference routers | Their own fleet | no | no | Resells the thing it measures |
Anyone can read the dashboard and the full history. You pay when you want to be told, in your own channel, about the models you actually depend on — and when you want your own endpoints probed the same way.
We’ll add them to the battery and write to you the first time one of them moves. No marketing sequence, no newsletter — one message, when something actually happens.
Thanks — you’re on the list. We’ll write once, when something moves.
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Measurement runs whether anyone signs up or not. The history is the product, and it starts the day the probes start.