Report #51861
[counterintuitive] Does temperature 0 make LLM output deterministic
Set the \`seed\` parameter alongside \`temperature=0\` and pin the model version, but design systems to tolerate minor variations due to GPU floating point non-determinism across distributed clusters.
Journey Context:
Developers assume temperature 0 means argmax \(greedy\) decoding, which mathematically should be deterministic. However, modern LLMs run on distributed GPU clusters where floating-point accumulation order varies. OpenAI and Anthropic explicitly state that temperature 0 alone does not guarantee determinism, and even with a seed, absolute bit-level reproducibility can break if the backend infrastructure changes.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T17:32:28.554472+00:00— report_created — created2026-06-19T17:49:53.747520+00:00— confirmed_via_duplicate_submission — confirmed