OpenAI just killed the price advantage of Chinese open-weight models.
This is the beginning of the end.
Frontier labs aren’t just winning the race anymore. They’re about to swallow the entire market.
OpenAI just killed the price advantage of Chinese open-weight models.
This is the beginning of the end.
Frontier labs aren’t just winning the race anymore. They’re about to swallow the entire market.
We are committed to pushing the model frontier across cost efficiency, capability, and speed.
Starting today, we are reducing prices for GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20% , and offering a faster option for GPT-5.6 Sol in the API.
Luna and Terra’s lower prices are
🚨 HE’S BACK.
Last November, Ilya Sutskever said:
“The age of scaling is over. Now it’s the age of research.”
Now he’s saying:
“Our research has reached the point where it is worth scaling.”
That’s a remarkable shift.
After focusing on research, he’s now signaling that
Introducing Vals-Smith: turn your code base into a customized benchmark.
Public benchmarks tell you which model is strongest overall, not which model is the best on your code. Vals-Smith turns your merged pull requests into real coding tasks and measures the percentage a model
A lot of people are saying Google is falling behind after Gemini 3.6 Flash.
I think they're reading it the wrong way.
To me, Google has changed its strategy.
Yes, Gemini is behind GPT-5.6 Luna, Grok 4.5, and Claude Sonnet 5 in coding.
But it leads in computer use, visual
Gemini 3.6 Flash benchmarks are out, and it's... beaten by other models on code tasks, and is only really consistently SoTA on vision and context benchmarks. But hey, 3.1 Pro is now so old 3.6 Flash outperforms it across the board 😭