The company said the biggest leap is in agentic coding and computer. On Terminal-Bench 2.0, which tests complex command-line workflows requiring planning and tool coordination, GPT-5.5 hits 82.7% accuracy — a new state-of-the-art.<\/p>\n
On SWE-Bench Pro, which evaluates real-world GitHub issue resolution, it scores 58.6%, solving more tasks end-to-end in a single pass than previous models. <\/p>\n
On OpenAI’s internal Expert-SWE benchmark for 20-hour coding projects, it also outperforms GPT-5.4. <\/p>\n
Crucially, it does all this while using fewer tokens, making it both more capable and more efficient. <\/p>\n
On Artificial Analysis’s Coding Index, GPT-5.5 delivers frontier-level intelligence at roughly half the cost of competing models.<\/p>\n
The press release said GPT-5.5 was co-designed and served on NVIDIA GB200 and GB300 NVL72 systems, with Codex helping engineers test and optimize the stack itself. <\/p>\n
One key improvement: dynamic load balancing. Instead of splitting requests into fixed chunks, Codex analyzed weeks of production traffic to create smarter partitioning algorithms, boosting token generation speeds by over 20%.<\/p>\n
How Is GPT-5.5 Transforming Knowledge Work Beyond Traditional Chatbot Capabilities?<\/p>\n
For knowledge work, GPT-5.5 behaves more like a capable assistant than a chatbot. It’s better at finding information, extracting what matters, using tools and turning raw inputs into polished outputs. <\/p>\n
In Codex, it now generates higher-quality documents, spreadsheets and presentations.<\/p>\n
OpenAI’s own teams are already using it across finance, comms, marketing and product. The company said the finance team used it to review 24,771 K-1 tax forms — 71,637 pages in total — cutting two weeks off the process. <\/p>\n
The comms team built a scoring framework for speaking requests and validated an automated Slack agent that now handles low-risk requests without human intervention.<\/p>\n
In ChatGPT, GPT-5.5 Thinking delivers faster, more concise answers for complex problems, while GPT-5.5 Pro offers a noticeable step up in quality for demanding work in business, legal, education and data science.<\/p>\n
What New Cybersecurity Safeguards and Safety Controls Does GPT-5.5 Bring to the Table?<\/p>\n
The model scores 84.9% on GDPval for multi-occupation knowledge work, 78.7% on OSWorld-Verified for operating real computer environments, and 98% on Tau2-bench Telecom for customer-service workflows without prompt tuning.<\/p>\n
OpenAI says GPT-5.5 comes with its strongest safeguards yet, including tighter controls for high-risk cybersecurity requests and expanded testing with external redteamers. <\/p>\n
Cybersecurity and biology capabilities are classified as “High” under its Preparedness Framework, though not yet “Critical.” <\/p>\n
To balance access with safety, OpenAI is launching Trusted Access for Cyber, giving verified defenders expanded use of cyber-permissive models like GPT-5.4-Cyber for legitimate security work.<\/p>\n
GPT-5.5 is rolling out now to Plus, Pro, Business and Enterprise users in ChatGPT and Codex, with GPT-5.5 Pro available to Pro, Business and Enterprise users. API access is coming soon, pending further safety and security reviews.<\/p>\n","protected":false},"excerpt":{"rendered":"The company said the biggest leap is in agentic coding and computer. On Terminal-Bench 2.0, which tests complex…\n","protected":false},"author":2,"featured_media":15157,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,7493,3186,2403,635,2992,11383,8346,9564,157],"class_list":{"0":"post-15156","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-agentic-ai","8":"tag-agentic-ai","9":"tag-agentic-artificial-intelligence","10":"tag-ai-assistant","11":"tag-ai-benchmarks","12":"tag-ai-coding","13":"tag-ai-productivity","14":"tag-ai-safeguards","15":"tag-chatgpt-pro","16":"tag-gpt-5-5","17":"tag-openai"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/15156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=15156"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/15156\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/15157"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=15156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=15156"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=15156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}