SAN FRANCISCO — OpenAI has officially released its highly anticipated GPT-5.5 model, bringing significant upgrades to ChatGPT and Codex, with a strong focus on enhanced capabilities for complex tasks and real-world applications. Each of the bullet points immediately below have been confirmed by at least four of the six respected sources we curated on this story: Propakistani.pk, Yellow.com, Saudishopper.com.sa, Trendingtopics.eu, Techmeme.com, OpenAI.com.
- GPT-5.5 is designed to be natively omnimodal, seamlessly processing and integrating text, images, audio, and video within a single system, along with improved agent-based workflow capabilities.
- Internally codenamed “Spud,” GPT-5.5 is OpenAI’s first fully retrained large language model since GPT-4.5, promising significantly larger performance leaps, faster reasoning, and stronger coding performance.
- The model is rolling out to ChatGPT Plus, Pro, Business, and Enterprise users, with a more advanced GPT-5.5 Pro version available for higher-tier subscribers.
- The release includes new features like ChatGPT Images 2.0, faster responses for common information-seeking questions, and a free U.S. version of ChatGPT for verified clinicians.
Additional Details Reported
API pricing for GPT-5.5 is set at $5 per 1 million input tokens and $30 per 1 million output tokens, which is double the pricing of GPT-5.4, indicating the perceived value of its enhanced capabilities.
The launch signifies OpenAI’s strategic shift towards productive, enterprise-oriented applications and will form the technical foundation for an upcoming “Super App” combining ChatGPT, the coding tool Codex, and a dedicated browser.
OpenAI highlights GPT-5.5’s ability to match GPT-5.4’s per-token latency while delivering a much higher level of intelligence, outperforming competitors in several agent tasks.
Updates to Codex include GPT-5.5 availability as OpenAI’s newest frontier model for complex coding, computer use, knowledge work, and research workflows, with improvements to the Codex CLI and browser use in the Codex app.
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