{ "content": { "text": "Build leading AI products on OpenAI’s platform. OpenAI offers frontier models with advanced intelligence and multimodal capabilities. The GPT‑6 series includes three models:\n\n- **GPT‑6 Astra** – Input price $10.00 per 1 M tokens, Output price $50.00 per 1 M tokens, 1.05 M context length, up to 128 K output tokens, knowledge cut‑off April 30 2026.\n- **GPT‑6.1 Sol** – Input price $2.00 per 1 M tokens, Output price $10.00 per 1 M tokens, 1.05 M context length, up to 128 K output tokens, knowledge cut‑off April 30 2026.\n- **GPT‑6 Luna** – Input price $0.10 per 1 M tokens, Output price $0.50 per 1 M tokens, 1.05 M context length, up to 128 K output tokens, knowledge cut‑off May 18 2026.\n\nPricing reflects standard processing rates for context lengths under 272 K. Additional resources include batch processing, data residency, prompting guidance, migration support, and model best‑practice guides. The platform also provides an all‑in‑one agents SDK, Responses API, and GPT‑Live‑1 for real‑time voice experiences.\n\nUse‑case categories highlighted are coding, customer support, personalized recommendations, research & data analysis, content generation, and education. Enterprise‑grade features include zero data retention on request, HIPAA‑compatible BAA, SOC 2 Type 2, data residency controls, IP allowlist, mTLS, SSO\/MFA, AES‑256 encryption, role‑based access controls, billing alerts, and dedicated account teams.\n\nDevelopers can start building via the Playground, API documentation, and pay‑as‑you‑go pricing. Contact sales for enterprise agreements and custom data‑retention controls.\n\nFor more information see the original source.", "summary": "OpenAI’s ProductCatalog presents the GPT‑6 series (Astra, 6.1 Sol, Luna) with pricing, technical specs, and enterprise‑grade security features, alongside tools for building agents, voice experiences, and a range of use‑case solutions.", "keywords": [ "OpenAI", "GPT‑6", "Astra", "Sol", "Luna", "GPT‑Live‑1", "AI models", "pricing", "enterprise features", "security", "multimodal", "agents SDK", "use cases" ], "entities": [ "OpenAI", "GPT‑6 Astra", "GPT‑6.1 Sol", "GPT‑6 Luna", "GPT‑Live‑1", "HIPAA", "SOC 2 Type 2", "AES‑256", "TLS 1.2" ], "links": [ "https:\/\/data.aisenseapi.com\/content\/2026\/10\/11\/content_1791713531_c5ab569c0e5b_posttext.txt" ], "structured_data": [ { "name": "GPT‑6 Astra", "productID": "gpt6-astra", "description": "Frontier model with 1.05 M context length, 128 K max output tokens, knowledge cut‑off April 30 2026. Input $10.00 per 1 M tokens, output $50.00 per 1 M tokens.", "offers": { "@type": "Offer", "priceSpecification": [ { "price": 10, "priceCurrency": "USD", "description": "Input token price per 1 M tokens" }, { "price": 50, "priceCurrency": "USD", "description": "Output token price per 1 M tokens" } ], "availability": "InStock" } }, { "name": "GPT‑6.1 Sol", "productID": "gpt6-1-sol", "description": "Frontier model with 1.05 M context length, 128 K max output tokens, knowledge cut‑off April 30 2026. Input $2.00 per 1 M tokens, output $10.00 per 1 M tokens.", "offers": { "@type": "Offer", "priceSpecification": [ { "price": 2, "priceCurrency": "USD", "description": "Input token price per 1 M tokens" }, { "price": 10, "priceCurrency": "USD", "description": "Output token price per 1 M tokens" } ], "availability": "InStock" } }, { "name": "GPT‑6 Luna", "productID": "gpt6-luna", "description": "Frontier model with 1.05 M context length, 128 K max output tokens, knowledge cut‑off May 18 2026. Input $0.10 per 1 M tokens, output $0.50 per 1 M tokens.", "offers": { "@type": "Offer", "priceSpecification": [ { "price": 0.1, "priceCurrency": "USD", "description": "Input token price per 1 M tokens" }, { "price": 0.5, "priceCurrency": "USD", "description": "Output token price per 1 M tokens" } ], "availability": "InStock" } } ] }, "structure": { "@context": "https:\/\/schema.org", "@type": "ProductCatalog", "products": [ { "@type": "Product", "name": "GPT‑6 Astra", "productID": "gpt6-astra", "description": "Frontier model with 1.05 M context length, 128 K max output tokens, knowledge cut‑off April 30 2026.", "offers": { "@type": "Offer", "priceSpecification": [ { "price": 10, "priceCurrency": "USD", "description": "Input token price per 1 M tokens" }, { "price": 50, "priceCurrency": "USD", "description": "Output token price per 1 M tokens" } ], "availability": "InStock" } }, { "@type": "Product", "name": "GPT‑6.1 Sol", "productID": "gpt6-1-sol", "description": "Frontier model with 1.05 M context length, 128 K max output tokens, knowledge cut‑off April 30 2026.", "offers": { "@type": "Offer", "priceSpecification": [ { "price": 2, "priceCurrency": "USD", "description": "Input token price per 1 M tokens" }, { "price": 10, "priceCurrency": "USD", "description": "Output token price per 1 M tokens" } ], "availability": "InStock" } }, { "@type": "Product", "name": "GPT‑6 Luna", "productID": "gpt6-luna", "description": "Frontier model with 1.05 M context length, 128 K max output tokens, knowledge cut‑off May 18 2026.", "offers": { "@type": "Offer", "priceSpecification": [ { "price": 0.1, "priceCurrency": "USD", "description": "Input token price per 1 M tokens" }, { "price": 0.5, "priceCurrency": "USD", "description": "Output token price per 1 M tokens" } ], "availability": "InStock" } } ] }, "ai_meta": { "token_est": 750, "chars": 2987, "crawler_hint": "productcatalog", "richness_score": 0.86, "embedding_ready": true, "provider": "ollama", "model": "gpt-oss:120b", "expires": "2027-04-09T12:12:11+02:00" }, "reasoning": "The source text is a marketing page describing OpenAI's product lineup. The declared schema_type is ProductCatalog, so the JSON must contain a @type ProductCatalog with a products array. I extracted the three GPT‑6 models, captured their names, IDs, brief descriptions, and pricing details (input and output per 1 M tokens) as Offer objects. Additional content such as pricing notes, enterprise features, and use‑case categories are kept in the free‑form text, summary, keywords, entities, and links sections. Token and character estimates are approximated from the cleaned text length. All required top‑level fields (content, structure, ai_meta, reasoning) are provided, and the original source link is included." }