GPT-5.5: Faster Intent Understanding, Stronger Coding and Research Results
GPT-5.5 handles complex tasks end-to-end, uses fewer tokens for coding, leads benchmarks in biomed and math, and rolls out to ChatGPT and Codex.
GPT-5.5
Understands intentions faster and can independently take on more work
Instead of controlling every step, you can now give the model a complex multi-component task and it will plan, use the necessary tools, verify the result, and carry it through to completion
Not inferior to GPT-5.4 in speed, while using significantly fewer tokens for the same Codex tasks
On the Artificial Analysis Coding Index, it delivers SOTA results at half the cost of competitors
Programming got a huge boost, needs testing
I also want to note how much noise it has already made in scientific research:
- Leading results on GeneBench and BixBench (biomedical data analysis)
- The model found a new proof about Ramsey numbers in combinatorics (verified in Lean)
- Derya Unutmaz (Jackson Laboratory) analyzed an expression dataset of 28,000 genes (work that would have taken months was done in a single report)
- Polish mathematician Bartosz Naskręcki built an algebraic geometry application from a single prompt in 11 minutes
Rolling out for Plus, Pro, Business and Enterprise in ChatGPT and Codex. GPT-5.5 Pro for Pro, Business and Enterprise
API soon
Comments
Weekly digest
The best of vibe coding, AI agents and open source — once a week, no spam.
Related articles
All articlesDeveloper Solves 60-Year-Old Erdős Problem Using ChatGPT 5.4 Pro
A 23-year-old developer claims ChatGPT 5.4 Pro solved a 60-year-old Erdős problem in 1h 20m using a familiar formula no one applied before.
Pope Leo XIV’s AI Encyclical “Magnifica Humanitas” and Anthropic’s Role
Pope Leo XIV links AI to Industrial Revolution risks in “Magnifica Humanitas,” as Anthropic’s Claude adopts “Catholic values” via RL—amid Pentagon contract tensions.
Using Claude Opus 4.7 to Rename One Variable (POV)
A relatable POV on firing up Claude Opus 4.7 for the tiniest task: renaming a single variable—because overkill is sometimes the workflow.