>token-hungry model

It's kind of funny how this is the exact opposite of the truth. It's one of the most token-efficient models ever.

The claims aren't bullshit. Every conceivable benchmark and test you can throw at it shows Sol being good for token efficiency.

It's highly dependent on workload

If Astra is per benchmarks so much more token efficient than Sol, why did they limit its use in ChatGPT to ~16% as many messages compare to Sol? When Sol is 40% the price of Astra, why do they give Sol Pro (in ChatGPT) 6x as many tasks?

If it were strictly true that token efficiency makes Astra cost around the same per task as Sol then there'd be no need to limit it to 16% as much access.

It's because per-task token use is highly variable, not as universally true as you claim