News linked to both this project and an event.
According to OpenAI’s official announcement, OpenAI has officially launched GPT-5.5—a next-generation intelligent model designed specifically for handling complex objectives, invoking tools, self-verification, and completing multi-step tasks. The model excels in code writing and debugging, online research, data analysis, document creation, and cross-tool operations. While maintaining response speeds comparable to those of GPT-5.4, GPT-5.5 demonstrates improvements across nearly all evaluation metrics and significantly reduces the number of tokens required to complete equivalent tasks. GPT-5.5 is now available to ChatGPT and Codex Plus, Pro, Business, and Enterprise users. Concurrently, a GPT-5.5 Pro version—optimized for highly demanding tasks—has also been released.
: According to official sources, OpenAI has officially released GPT-5.5. This model has shown significant progress in areas such as intelligent agent programming, computer usage, and scientific research, achieving an accuracy rate of 82.7% in the Terminal-Bench 2.0 test. While maintaining the same latency as GPT-5.4, GPT-5.5 offers higher reasoning efficiency and consumes fewer tokens. Currently, GPT-5.5 has been rolled out to ChatGPT Plus, Pro, and enterprise users, with the API version expected to be available soon. Pricing is set at $5 per 1 million input tokens and $30 per 1 million output tokens. Additionally, GPT-5.5 Pro, designed for high-difficulty tasks, has also been launched simultaneously.
Odaily News OpenAI announced the launch of the GPT-5.4-Cyber model. This model is fine-tuned based on GPT-5.4 for cybersecurity scenarios, reducing refusal restrictions on security-related requests under specific conditions to support professional operations such as binary reverse analysis.According to the introduction, the model is only available to vetted security vendors, enterprise security teams, and researchers through the "Trusted Access for Cybersecurity" (TAC) program. OpenAI stated that a layered mechanism will restrict the model's usage scope and impose additional constraints on access in low-visibility scenarios.