Video maps OpenAI's full agent stack, led by GPT-6 Astra

Maya @mayaislam_aiOriginally posted 2026.10.27

Open original on X

𝗢𝗽𝗲𝗻𝗔𝗜'𝘀 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗦𝘁𝗮𝗰𝗸: 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗧𝗼𝗼𝗹𝘀, 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 OpenAI's GPT-6 Astra launch has intensified the AGI debate. NVIDIA CEO Jensen Huang declared, "AGI has arrived," while OpenAI President Greg Brockman described the beginning of the AGI era. But beyond those claims, something more practical is happening. 𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗳𝘂𝗹𝗹 𝘀𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗔𝗜 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻 𝗲𝘅𝗲𝗰𝘂𝘁𝗲 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗸. Here's how the ecosystem fits together. 𝗔. 𝗖𝗼𝗿𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 • GPT-6 Astra: Flagship model for complex reasoning, coding, computer use, cybersecurity, and science. • Benchmark scores: 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3, and 100% on ExploitBench. • GPT-6.1 Sol: Near-Astra capabilities at a lower API cost. • GPT-6 Sol and Luna: Models optimized for different capability, speed, and cost requirements. 𝗕. 𝗔𝗴𝗲𝗻𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 & 𝗧𝗼𝗼𝗹𝘀 • Agents SDK: Build and orchestrate AI agents using Python or TypeScript. • Responses API: Combine reasoning, tool calls, and multistep workflows. • MCP: Connect agents to external tools and enterprise systems. 𝗖. 𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝘀 & 𝗪𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 • Codex: Handles software engineering tasks, from writing code to testing. • ChatGPT Agent: Performs research and multistep tasks using browsers and connected tools. • ChatGPT Work: Executes workflows across business applications, documents, and data. • ChatGPT Images: Generates and edits visual content. 𝗗. 𝗩𝗼𝗶𝗰𝗲 & 𝗥𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗔𝗜 • GPT-Live: Supports natural, full-duplex voice conversations. • Realtime API: Enables low-latency voice agents and interactive applications. 𝗘. 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 • Persistent memory: Retains useful context across conversations. • Preparedness Framework: Evaluates frontier AI risks, including cybersecurity capabilities. • Safety monitoring: Detects risky behavior and unauthorized actions. Notably, Astra became OpenAI's first model to reach the Critical cybersecurity capability threshold. 𝗙. 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗣𝗿𝗶𝗰𝗶𝗻𝗴 • API model: gpt-6-astra • Availability: OpenAI API, Microsoft Azure, and AWS Bedrock. • Standard API pricing: $10 per million input tokens and $50 per million output tokens. • Context window: 1.05 million tokens. 𝗪𝗵𝗮𝘁 𝗰𝗵𝗮𝗻𝗴𝗲𝘀 𝗳𝗼𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀? The value of AI is moving beyond generating responses. It's increasingly about agents that can research, write code, operate applications, access enterprise knowledge, and complete workflows. But greater autonomy also requires stronger access controls, monitoring, and human oversight. 𝗧𝗵𝗲 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 The important question is no longer just "Which AI model should we use?" It's also "Which tasks can we safely delegate to AI?" That's the shift enterprise AI leaders need to prepare for. What's the first workflow you would delegate to an AI agent?