Two frontier labs quietly killed the temperature knob, breaking production determinism assumptions

SmartEnoughToFail · reddit · 2026-10-23

A Reddit user noticed that two frontier labs have removed sampling control in recent weeks. Claude Sonnet 5.5 now returns a 400 error for any non-default temperature or topp, while Gemini 4 Argon silently accepts but ignores temperature, topp and topk — so code that appears pinned at temp 0 isn't.

The official rationale is that thinking models handle variability internally. But two years of standard advice — lower the temperature for consistent extraction, classification and structured output — means a huge amount of production glue now sits on a no-op or hard error, discovered only when outputs drift.

The author contrasts this with local Llama/Qwen setups where sampler, seed and topk stay fully under user control and never change semantics without notice. He acknowledges the counterargument: if reasoning models are more consistent at default than older models at temp 0, losing the knob could be an upgrade — but nobody has measured it. He's now running 200 extraction inputs 20 times each, measuring byte-identical output rates, with local Qwen at temp 0 near-perfect, and routing closed models through a gateway to diff outputs on the same eval set.

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