Here’s a deep, organized rundown of GPT-5: its innovations, architecture/modules, concrete feature list, pricing, and a thoughtful look at future impacts on humanity. I’ve pulled the most load-bearing facts from OpenAI and major coverage so you can trust the numbers and claims.

1) Big-picture innovations (what’s new vs GPT-4 / o-series)

• Unified, adaptive reasoning system — GPT-5 blends fast “non-reasoning” paths and deeper “reasoning/agentic” paths and routes queries automatically to the level of processing needed (so users/developers don’t have to pick separate models manually). This improves reliability for multi-step tasks. OpenAI

• Large multimodal capability — native support for text, images, audio and video in the same context window so the model can reason across modalities in one conversation. OpenAIDeepgram

• Massively expanded context & persistent memory — the API/ChatGPT exposes very large context windows (reported ranges in coverage: 256k tokens in some reporting and larger experimental windows in other coverage; OpenAI lists long context specs on its GPT-5 pages). That enables reading and reasoning over long docs, books, codebases, multi-file projects, meeting histories, or media sequences. OpenAIArs Technica

• Agentic/tool use improvements — GPT-5 is designed to orchestrate tools and services reliably (APIs, schedulers, browsers, code execution, etc.), carrying out multi-step workflows end-to-end. OpenAI emphasizes “instruction following and agentic tool use” gains. OpenAI

• Safer, less deceptive behavior — reported decreases in hallucinations, deceptive behaviors and improved calibration/uncertainty reporting (the model more often says “I don’t know” or provides guarded answers). WIREDTechCrunch