Ted Sanders 談 OpenAI 的模型命名慣例
Quoting Ted Sanders
Ted Sanders 解釋，OpenAI 模型的版本號同時表示發佈次序、與其他版本的關係，以及改進幅度；例如 6.1 代表它在 5.6 之後推出，但改進幅度未大至需要以 7 命名。LLM 表現涉及多個維度，而模型規模通常與表現、可靠性、每個 token 的成本及冷僻事實的記憶能力相關。
28th October 2026
In general, LLM performance is incredibly multidimensional. There's no guarantee of a fixed ordering where the model that is best at math is also the model that's best at jokes. Despite that complexity, much of the variation in performance is explained by just a single variable: model size. In general, models that are bigger will (a) be more performant / reliable, (b) cost more per token, and (c) have better recall of esoteric facts. As you note, our models are ordered:
Luna < Terra < Sol < Astra
[...] These days, version number signifies a few things at once: the order of release, the relationship to other releases, and the magnitude of improvement. So something like 6.1 would indicate it was launched after 5.6, may share some similarities to other 6.1 models in terms of training data / personality (which is why it's not 5.7), and isn't a giant enough leap to merit the headlines and expectations that would come with a 7.
— Ted Sanders, explaining OpenAI's model naming conventions
來源：Simon Willison · simonwillison.net