OpenAI's Thibault Sottiaux teases a GPT-5 roadmap where sequential decimal increments through GPT-5.5 deliver efficiency and speed gains
The efficiency gains target costs in long-running agentic workflows
#306Eric@ERICMITCHELLAIOpenAI is famous for leaks but man to just go out there and tell people we will train more models
Huge alpha in following this guy
Tibo@thsottiauxWhen we go from GPT-5.0 -> GPT-5.1 -> ... -> GPT-5.5, the number incrementing goes with improvements in capabilities and token efficiency (which translates to speed gains). With GPT-5.5 our best model yet. A simple strategy that we would like to continue.
#1496Chubby♨️@KIMMONISMUSIt’s reasonable to expect that the next iteration will be better. It would be surprising if GPT-5.6 wasnt an improvement over GPT-5.5.
But the more interesting part is token efficiency. As models move into more complex, longer-running, agentic workflows, every wasted token becomes latency, cost, and friction. Obv.
GPT-5.5 seems to be a real step here: not just more capable, but more efficient in how it reasons and executes. Kudos. High hopes for 5.6 being even more efficient.
Tibo@thsottiauxWhen we go from GPT-5.0 -> GPT-5.1 -> ... -> GPT-5.5, the number incrementing goes with improvements in capabilities and token efficiency (which translates to speed gains). With GPT-5.5 our best model yet. A simple strategy that we would like to continue.