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.
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
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.
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.
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.
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