7 ms·
Quite a flex calling their GPT-6 competitor "Flash"! But it is faster than their last flash model due to a combination of architectural innovations including e
by irthomasthomas 6d ago
Quite a flex calling their GPT-6 competitor "Flash"! But it is faster than their last flash model due to a combination of architectural innovations including engrams and a new encoder/decoder design that uses 8B parameters for prefill and 16B for generation.
- WiSaGaN 6d agoThis is definitely not on par with GPT-6 astra. Not with GPT-5.6 sol either. But probably will set as a new baseline for modern API based LLM because it's so cheap.
- irthomasthomas 6d agoNot on par, but in the same league. Astra is way ahead on visual tasks, but scores the same as gemini and deepseek on DeepSWE.
- jhonof 6d agoIt's bench-marking near sol