<p>OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations.</p><p>The launch marks a shift from basic transcription tools to systems that can listen, understand and respond during conversations. These models are currently available for testing in OpenAI’s developer playground.&nbsp;</p><h2><strong>What the new models do</strong></h2><p>The three models are built for different tasks but work together to support real-time voice applications. GPT-Realtime-2 is designed to manage complex conversations. It can handle interruptions, maintain context over longer discussions and connect with external tools to complete tasks. GPT-Realtime-Translate focuses on language translation. It supports translation from more than 70 languages into 13 output languages, making it useful for customer service, education and global communication.</p><p>GPT-Realtime-Whisper provides live speech-to-text capabilities. It can generate captions, meeting notes and updates as a person speaks, allowing real-time documentation of conversations.&nbsp;</p><h2><strong>Move towards real-time AI agents</strong></h2><p>With these models, OpenAI is moving towards building AI systems that can act during conversations rather than just respond after receiving input.</p><p>This means voice-based applications can:</p><p>Understand ongoing conversations</p><p>Translate speech instantly</p><p>Perform tasks while interacting with users</p><p>Such capabilities could improve how businesses use AI in areas like support services, virtual assistants and communication tools.</p><h2><strong>Early use cases and adoption</strong></h2><p>Several companies are already testing these models in real-world scenarios. These include Zillow, Priceline and Deutsche Telekom.</p><p>These organisations are exploring how real-time voice AI can improve customer interaction, automate processes and make communication more efficient.</p><p>Pricing and access details</p><p>OpenAI has shared pricing for the new models.</p><p>GPT-Realtime-2 starts at $32 per million audio input tokens.</p><p>GPT-Realtime-Translate costs $0.034 per minute.</p><p>GPT-Realtime-Whisper costs $0.017 per minute.</p><p>The models are currently available in a limited testing phase through the developer platform.</p><h2><strong>What this means for the future</strong></h2><p>The introduction of real-time audio models highlights how AI is evolving from text-based systems to more interactive tools.</p><p>By enabling systems to listen, process and act instantly, OpenAI is expanding the role of AI in communication. As these tools develop further, they may become a common part of everyday applications, from virtual assistants to business operations.</p>

OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations.

OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations. The launch marks a shift from basic transcription tools to systems that can listen, understand and respond during conversations. These models are currently available for testing in OpenAI’s developer playground. What the new models do The three models are built for different tasks but work together to support real-time voice applications. GPT-Realtime-2 is designed to manage complex conversations. It can handle interruptions, maintain context over longer discussions and connect with external tools to complete tasks. GPT-Realtime-Translate focuses on language translation. It supports translation from more than 70 languages into 13 output languages, making it useful for customer service, education and global communication. GPT-Realtime-Whisper provides live speech-to-text capabilities. It can generate captions, meeting notes and updates as a person speaks, allowing real-time documentation of conversations. Move towards real-time AI agents With these models, OpenAI is moving towards building AI systems that can act during conversations rather than just respond after receiving input. This means voice-based applications can: Understand ongoing conversations Translate speech instantly Perform tasks while interacting with users Such capabilities could improve how businesses use AI in areas like support services, virtual assistants and communication tools. Early use cases and adoption Several companies are already testing these models in real-world scenarios. These include Zillow, Priceline and Deutsche Telekom. These organisations are exploring how real-time voice AI can improve customer interaction, automate processes and make communication more efficient. Pricing and access details OpenAI has shared pricing for the new models. GPT-Realtime-2 starts at $32 per million audio input tokens. GPT-Realtime-Translate costs $0.034 per minute. GPT-Realtime-Whisper costs $0.017 per minute. The models are currently available in a limited testing phase through the developer platform. What this means for the future The introduction of real-time audio models highlights how AI is evolving from text-based systems to more interactive tools. By enabling systems to listen, process and act instantly, OpenAI is expanding the role of AI in communication. As these tools develop further, they may become a common part of everyday applications, from virtual assistants to business operations.

<p>OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations.</p>

‘AI voice agents get smarter’: OpenAI unveils 3 new models

<p>OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams, marking a focused step in how AI tools are being adapted for specialised industries. The announcement comes just a month after Anthropic introduced its Mythos model, which also focused on advanced cybersecurity capabilities.&nbsp;</p><h2><strong>What is GPT-5.5-Cyber and how is it different?</strong></h2><p>GPT-5.5-Cyber is a variation of OpenAI’s latest GPT-5.5 model. Unlike general-purpose versions, this model is designed to be more flexible for security-related tasks. OpenAI said the model is not necessarily more powerful than the standard version, but it is adjusted to allow cybersecurity teams to perform tasks that would otherwise be restricted by safety controls. This makes it easier for professionals to analyse threats, test systems and understand vulnerabilities without running into limitations that apply to public versions of AI tools.&nbsp;</p><h2><strong>How cybersecurity teams can use it</strong></h2><p>According to OpenAI, GPT-5.5-Cyber is designed to support real-world cybersecurity workflows. These include identifying vulnerabilities in systems, analysing malware, validating patches and prioritising security issues. By reducing restrictions for trusted users, the model allows teams to work more efficiently on tasks that require deeper technical access. OpenAI said the goal is to help partners explore advanced workflows where specialised behaviour is necessary.</p><h2><strong>Why access is limited</strong></h2><p>The model is currently available only to a small group of vetted organisations. This controlled rollout is intended to ensure responsible use, given the sensitive nature of cybersecurity work.</p><p>A similar approach was seen with Anthropic’s Mythos model, which was also released to a limited group as part of its Project Glasswing initiative. These steps show that companies are being cautious while deploying advanced AI tools in critical areas like security.</p><h2><strong>Growing focus on AI in cybersecurity</strong></h2><p>The release of GPT-5.5-Cyber reflects a broader trend in the industry. AI is increasingly being used to detect vulnerabilities, analyse threats and improve system security.</p><p>Recent developments, including Anthropic’s Mythos, have shown how AI can identify complex bugs and assist security teams in ways that were difficult earlier. This has drawn attention from governments and financial institutions, highlighting the importance of such tools.</p><h2><strong>What this means for the industry</strong></h2><p>The introduction of specialised AI models for cybersecurity suggests that the field is moving towards more targeted solutions. Instead of using general AI systems, organisations are now adopting tools designed for specific tasks.</p><p>While these models can improve efficiency and detection, they also raise questions about how access should be managed and how risks can be controlled.</p><p>As GPT-5.5-Cyber continues its limited rollout, its impact will depend on how effectively teams use it in real-world scenarios. OpenAI may expand access in the future based on feedback from early users. For now, the release highlights how AI companies are focusing on practical applications, especially in areas like cybersecurity where accuracy and control are critical.</p>

OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams.


OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams, marking a focused step in how AI tools are being adapted for specialised industries. The announcement comes just a month after Anthropic introduced its Mythos model, which also focused on advanced cybersecurity capabilities. What is GPT-5.5-Cyber and how is it different? GPT-5.5-Cyber is a variation of OpenAI’s latest GPT-5.5 model. Unlike general-purpose versions, this model is designed to be more flexible for security-related tasks. OpenAI said the model is not necessarily more powerful than the standard version, but it is adjusted to allow cybersecurity teams to perform tasks that would otherwise be restricted by safety controls. This makes it easier for professionals to analyse threats, test systems and understand vulnerabilities without running into limitations that apply to public versions of AI tools. How cybersecurity teams can use it According to OpenAI, GPT-5.5-Cyber is designed to support real-world cybersecurity workflows. These include identifying vulnerabilities in systems, analysing malware, validating patches and prioritising security issues. By reducing restrictions for trusted users, the model allows teams to work more efficiently on tasks that require deeper technical access. OpenAI said the goal is to help partners explore advanced workflows where specialised behaviour is necessary. Why access is limited The model is currently available only to a small group of vetted organisations. This controlled rollout is intended to ensure responsible use, given the sensitive nature of cybersecurity work. A similar approach was seen with Anthropic’s Mythos model, which was also released to a limited group as part of its Project Glasswing initiative. These steps show that companies are being cautious while deploying advanced AI tools in critical areas like security. Growing focus on AI in cybersecurity The release of GPT-5.5-Cyber reflects a broader trend in the industry. AI is increasingly being used to detect vulnerabilities, analyse threats and improve system security. Recent developments, including Anthropic’s Mythos, have shown how AI can identify complex bugs and assist security teams in ways that were difficult earlier. This has drawn attention from governments and financial institutions, highlighting the importance of such tools. What this means for the industry The introduction of specialised AI models for cybersecurity suggests that the field is moving towards more targeted solutions. Instead of using general AI systems, organisations are now adopting tools designed for specific tasks. While these models can improve efficiency and detection, they also raise questions about how access should be managed and how risks can be controlled. As GPT-5.5-Cyber continues its limited rollout, its impact will depend on how effectively teams use it in real-world scenarios. OpenAI may expand access in the future based on feedback from early users. For now, the release highlights how AI companies are focusing on practical applications, especially in areas like cybersecurity where accuracy and control are critical.

<p>OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams.</p>

OpenAI launches GPT-5.5-Cyber: Key things to know about the new model

gpt-55-cyber

Gpt 5.5 Cyber, News on Gpt 5.5 Cyber, stories on Gpt 5.5 Cyber, articles on Gpt 5.5 Cyber, Gpt 5.5 Cyber stories at Wion, Gpt 5.5 Cyber news, Gpt 5.5 Cyber latest news

gpt 55-cyber

‘AI voice agents get smarter’: OpenAI unveils 3 new models

OpenAI launches GPT-5.5-Cyber: Key things to know about the new model