More intelligence per dollar when you build with GPT-5.6 in the API.
GPT-5.6 models take a more direct path through work, reducing the time, tokens, and cost required for each result.
https://t.co/44zmgC89P2
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.
See what needs you next.
The new Activity view in the ChatGPT desktop app brings together conversations that need your attention and recent updates across your projects.
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.
GPT-5.4 and GPT-5.4 mini will no longer be available for users signed in with ChatGPT starting August 31.
The models will remain available on the OpenAI API and Codex sessions authenticated with an API key.
https://t.co/kZYJU0UqBt
Your pets have found a shortcut to ChatGPT Voice 👀
In the desktop app, click your pet to open Voice, check on work, and approve or stop tasks without missing a beat.
A picture may be worth a thousand words, but editing one shouldn’t take a thousand-word prompt.
Point at a character. Erase what should disappear. Comment where the title should change.
Here’s the new image editing workflow in ChatGPT and Codex on desktop.
More intelligence per dollar when you build with GPT-5.6 in the API.
GPT-5.6 models take a more direct path through work, reducing the time, tokens, and cost required for each result.
https://t.co/44zmgC89P2
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.
We’re upgrading auto review in the ChatGPT app and Codex CLI from GPT-5.4 to GPT-5.6 Luna.
Combined with Luna’s new price, the switch is expected to make auto review about 10x cheaper.
We used GPT-5.6 Sol in Codex to optimize its own infrastructure and performance.
These improvements compound across inference and the agent loop, producing more useful work from the same underlying hardware.
After deployment, we applied GPT-5.6 Sol to advance the frontier of efficiency by making itself more efficient to run.
The results:
- 20% lower serving costs from production GPU kernel improvements.
- 15%+ better token-generation efficiency from improved speculative decoding.
The Codex Visualize skill is awesome. Had no idea it could generate all these kinds of interactive visuals inline.
You can even use it in the Codex CLI where it will give you a browser link to an interactive visualization.
We’ve seen the community build with Codex.
Chaotic desks, clean desks, couches, airport floors.
We don’t judge the workspace. We just love seeing what you’re building.
Here are a few of yours, now on billboards.
More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review changes, track findings over time, and run security checks in CI.
https://t.co/nkfTbw8p7b
We're introducing two new transcription models in the API:
• GPT-Live-Transcribe: built for low-latency live transcription.
• GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads.
Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.
GPT-Transcribe also improved on the Context Aware ASR benchmark, with semantic accuracy increasing from 41.6% without free-form context to 45.2% with it.
Across 22 languages on Common Voice, GPT-Transcribe achieved a 19.27% transcription error rate, compared with 40.37% for Whisper (whisper-1).
Across nine languages on the Real-World Audio Recording benchmark, it achieved an 8.98% transcription error rate, compared with 15.21% for Whisper (whisper-1).