All models released from those providers go through stages of post training too, none of the models you interact with go from pre-training to release. An example of the post training pipeline is tool calling, that is to my understanding a part of post training and not pre training in general.

I can't speak to what the exact split is or what is a part of post training versus pre training at various labs but I am exceedingly confident all labs post train for effectiveness in specific domains.

I did not claim that post training doesn't happen on these models, and you are being extremely patronizing (I publish quite a bit of research on LLMs at top conferences).

I claimed that OpenAI overindexed on getting away with aggressive post-training on old pre-training checkpoints. Gemini / Anthropic correctly realized that new pre-training checkpoints need to happen to get the best gains in their latest model releases (which get post-trained too).