Astra seems to be really slow. Maybe it intends to read more context. But from my experience it is definitely slower than 5.6 sol when handling same tasks.

It's a bigger model, of course it's slower.

fwiw I found Astra to be faster than Sol w/ both on medium reasoning for simple agentic coding

difficult to compare though because for more open ended, complex tasks Sol might miss something that Astra notices and then Sol might yield a cheaper but worse outcome

"GPT‐6 Astra is rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business"

Then make a pretty blog post "over the coming days" instead of now and send an internal memo to that "limited set of organizations"?

Gemini is known for good at creative writing in the Chinese writing community. It's a bit ironic though. Google has probably the most and best code base among all tech companies but its Gemini is bad at coding. Google has no access to Chinese market but its model is incredibly good at writing in Chinese.

> Google has probably the most and best code base among all tech companies but its Gemini is bad at coding.

probably because google knows people would want to extract google's proprietary code from gemini if they use their own code base to train it! I bet they purposefully gimped it to prevent that from happening.

I think this is because the primary use case of gemini is google search overview and the gemini app. thats probably 98% of gemini tokens. they didnt predict how important agentic coding would become.