Boris Power

Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to predict, which is why we rolled it out to subscription plans in stages, extending access several times as we secured additional capacity.

Inkling is our open weights model. It aims to serve as a foundation with solid performance across a broad categories of capabilities, for use in practice and customization. Play it on Tinker! 😄

Hello. We have reached 8M active users across Codex and ChatGPT Work. We are once again resetting the usage limits for all. And we continue to not have the 5h rate limit as well, allowing everyone to explore the boundaries of GPT-5.6 Sol and discover how ambitious you can be. See you tomorrow for more updates on our growth!

We benchmarked Muse Spark 1.1 and GPT-5.6 Sol on HealthBench Professional, OpenAI's benchmark of 525 real clinician tasks 🏥🩺 Muse Spark 1.1 tops our board: better overall score than GPT-5.6 Sol, statistically on par on the length-adjusted score at a fraction of the cost ($1.25/$4.25 vs $5/$30 per M tokens in/out, ~7× cheaper on output).

i gave 5.6 sol access to my camera roll and had it extract pictures of every piece of clothing i own from my photos then, told it to find new outfits for me and render them on me with gpt-image! its kinda cool to see your entire wardrobe in a collection like this

i knew Codex was growing fast, but this is unbelievable: 1m → 8m users in just over five months even crazier, it went from 6m → 8m in only three days

I just let Codex 5.6 Sol Ultra run for almost 8 hours, getting my frontend test coverage from 3% (lol) to 63%. Used up half of my weekly limit, but I have a few resets left. Incredible. Had Fable cross-check the suite. 0 shit tests. Meanwhile, I did chores. Mind blown. 🤯

GPT 5.6 Luna Extra High figured out how to spot the hidden message: "I extracted the video frames and isolated the noise area. Averaging or OCR failed because each individual frame is intentionally random. The key was detecting motion: the background dots move downward, while dots forming the letters move upward. I compared consecutive frames with vertical shifts in both directions, accumulated the pixels that matched upward motion, and the letters emerged as HELLO HUMAN."

ChatGPT 5.6 Sol Pro solves an empty crossword puzzle (made by Claude Fable 5 Max) with the first 150 Pokemon without any individual numbered clues:

♥️ GPT-5.6 is a major step forward for health, both at the frontier and at cost. These models push the frontier of performance per dollar, bringing the best health intelligence to all. The smallest variant, GPT-5.6 Luna, evaluated at the lowest reasoning effort, outperforms GPT-5.5 at the highest reasoning effort–despite costing 25x less. The largest variant, GPT-5.6 Sol, sets a new high bar at cost. Another especially cool result: physicians found fewer flaws in GPT-5.6 responses than physician-written responses. We collected diverse tasks that remain difficult for recent OpenAI models, across patient-facing and clinician-facing use cases. We asked speciality-matched physicians to write responses to these tasks with unlimited time and web access. We then asked other physicians to compare responses side-by-side, blinded to their source. Physicians were asked to comment on areas of improvement across five axes: accuracy, communication, completeness, instruction following, and health decision helpfulness. We then reported the fraction of responses across sources rated perfectly across all axes, across 20,000 total axis ratings. GPT-5.6 Sol appeared strongest, although all GPT-5.6 models performed significantly better than physicians.

my favorite thing about GPT 5.6 is that it's a fucking stellar researcher. you can now work at the level of your ideas. here's the entire prompt we used to get 5.6 Sol to post-train 5.6 Luna:

On Agents' Last Exam, GPT‑5.6 Sol sets a new high of 53.6, eclipsing Claude Fable 5 (adaptive) by 13.1 points. At medium reasoning, it beats Fable 5 by 11.4 points at roughly one-quarter the estimated cost. GPT‑5.6 Terra and Luna also outperforms Fable 5 at around one-sixteenth the cost.

OpenAI scores a crazy state of the art score on ARC-AGI 3 7.78% 500-1000% higher than it’s competitors