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I've been using Codex since the beginning of the year, back when there were fewer than a million users. As of today, I've gone through over 100 B tokens in the Codex app( chatgpt work) Without a doubt, GPT5.6 Sol, Terra, and Luna are the best models I've ever used. I started with GPT5.2 Codex Max, which was already great, but GPT5.6 Sol Max is on a completely different level. There's simply no comparison.🌞

@thsottiaux thanks tibo :)

Changes both affect API prices and usage in paid subscriptions. Something for everyone.

We kept ourselves busy with GPT-5.6 Sol. It's pretty good at things. Rolling out - 80% lower prices on Luna - 20% lower prices on Terra - faster speeds on GPT-5.6 Sol in /fast mode - ~ 10X cheaper auto-approve mode ("review for me" in the app), which now uses Luna to prevent many high risk actions from the main agent Towards intelligence too cheap to meter and many more breakthroughs ahead.

@sama When GPT 5.6 spark 750 T/S?

major price cuts today: *80% drop for GPT-5.6 Luna, now $0.20 per million input tokens and $1.20 per million output *20% drop for GPT-5.6 Terra, to $2/$12 *GPT-5.6 Sol gets Fast mode in the API, up to 2.5x the speed for 2x the price, same intelligence

@nunezvice Will that lead to an increase in the use of ChatGPT fixed plans (Codex)?

80% off 🌙 20% off 🌎 go set up automations that make your life easier, at a fair price. we can all build things!

@OpenAI And gpt 5.6 sol spark 750 T/S ?

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 reflected in how usage is counted in Codex and ChatGPT Work, so your usage goes further.

@elonmusk And Grok 5 ??👀

And Grok 4.6 comes out in a week

Turns out GPT-5.6 Sol is actually SoTA on ARC-AGI-3. Just took two setting changes. You just have to allow it to reason and work over multiple context windows with the help of our canonical compaction implementation. openai.com/index/how-two-…

@nicbstme Thanks for sharing!. Just to clarify, when you say 'short term,' do you mean roughly the next 5 years before prices start coming down? Or do you think this 'short term' will last longer, with 'long term' being more like 10years out?"

I agree with Dwarkesh even if it’s a contrarian take. The standard way of thinking is that AI gets cheaper every year. Better chips, better algorithms, more competition. Intelligence becomes abundant, so the price of compute should keep falling (aka intelligence too cheap to meter) His argument is almost the opposite, at least for the next few years. If frontier models become dramatically more economically useful faster than we can manufacture GPUs, then the value of each GPU rises faster than supply. Compute stops being priced by its cost to produce and starts being priced by what it can earn. How much would you pay to to hire geniuses in a data center? Or if one GPU can generate the output of a great software engineer, why would anyone rent it for today’s prices? The really interesting implication is that the frontier labs end up competing on who can afford the most compute. The labs making the most revenue can bid up GPU prices, making it even harder for everyone else to catch up. Basically it’s a super steep power law with only top labs surviving and the rest fighting to create small cheap models with no pricing power. Long term I still expect compute to get cheap. But during this transition, intelligence could become cheaper while the hardware that produces it becomes dramatically more expensive. That’s a pretty counterintuitive idea but a good idea imo.

One day we created the reset button and the rest is history.

@thsottiaux NooOooOo limit 5 hours 😭💔

Hello people of Sol! I've reset usage limits for all ChatGPT Work and Codex users. Together with that, a quick update on GPT-5.6 Sol usage limits. Over the past few weeks, many of you have told us that Sol was using your Codex limits faster than expected. To be clear, we have not reduced usage on any subscription plans. We’ve been digging into what was happening and have landed several improvements. As a result, we expect your usage to last around 18% longer during typical use of Sol. Some of you should already see significantly larger improvements from today. Tomorrow, we’ll also restore the five-hour limit that we temporarily paused while investigating. Here’s what we found: - GPT-5.6 Sol is much more willing to work for longer, make additional tool calls, and coordinate complex workflows across tools and subagents. That makes it better at solving hard problems, but some tasks were using far more than we intended. - Sol also works harder at the same reasoning effort than previous models. High on Sol can use more tokens than High did on GPT-5.5. - Programmatic tool calling, also referred to as code mode, gives Sol much more flexibility to run tool calls in parallel or continue working while waiting. But it also led to more responses per turn, more cached input tokens, and higher usage than expected. - This was particularly noticeable when Sol was waiting for tool calls to finish or running many web searches. We’ve improved how we handle both cases and are continuing to make code mode more efficient. - The impact was also very uneven. The median user actually found Sol quite token efficient, while some power users working on harder tasks saw their usage drain much faster. We were very focused on average and median usage before launch and missed some cases where the long tail could use significantly more usage. Sol is a significant step forward in what Codex can do, but capability and efficiency do not always improve at the same pace, and some issues only become clear once people are using the model at real-world scale. We should have recognized this sooner and been more upfront about it. You keep pushing the frontier and we’ll keep improving efficiency and sharing updates as we go.

@Da7_Tech Congratulations!!

Happy to finally launch my personal website: da7tech.com

@thsottiaux Gpt 5.6 sol spark 750 T/S coming!!!

Update. I have decided to take a break from x to recharge a bit. See you back tomorrow for more ChatGPT and Codex fun. It's going to be a fun week.

Teaching my brother ChatGPT’s new voice mode on Zoom. He asks what the Mac he already sold was worth. I had told him it was an M1 Max. It was an M1 Pro. ChatGPT just fact-checked me live. He’s mid-rant. I’m dead.💀 ChatGPT Voice totally called me out, haha

@thsottiaux I just stopped all my projects that were on GPT5.6 Ultra Fast, now they're only on GPT5.6 Sol Medium.

Back at the laptop. The usage limits have been reset for all paid users of Codex and ChatGPT Work. Weeeeeeeee. It's a good day!

Using GPT5.6 Sol Ultra Fast again!!⚡️

@thsottiaux Thanks tibo!!

We’re celebrating the fast adoption of chatGPT Work and all the incredible effort that went into it today. I’m feeling like a limit reset. Hold on tight to your ultra and /fast and see you in a few hours when I’m back at the laptop!

Sam Altman's ultimate blueprint for the AI era: ·Speed: A 10-week-old startup today can do what used to take a whole year. ·Strategy: Build for scaling laws (what AI will do in 2-4 years, not just easy wins today). ·Mindset: Embrace the chaos; the opposite of a bad experience is NO experience. ·The real bottlenecks: Transistors & electrons.

Oh perfect, T3 code now only needs a modest 150GB of RAM. Totally reasonable...

I just installed T3 code. Now, to use my GLM Coding Plan Max, where can I find the language configuration to set it to Spanish?