Speculating here, but I assume researchers can make a reasonable estimate of the size of closed models based on factors like training time, training speed, and the number of tokens processed.
replyAlso, Anthropic and OpenAI probably want to keep each other on their toes so they don’t end up on the wrong side of another Opus 4.6 / GPT-5.3-Codex situation, where one lab releases a model only for the other to drop a better one hours later.
I don't really remember a situation, which of those models supposedly beat the other?
replyI still opus 4.6 though not for code
I think first of all it’s not an obvious idea, also the marketing surplus for other providers is not as big for openai/anthropic as for xiaomi and last but not least I’m pretty sure you can withdraw methodology from here.
replyI’m saying who has a million dollars for me, so I can make my own model?
this is remarkable transparency in an otherwise hyper competitive and secretive industry
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