OpenAI Launches GPT-6: 40% Capability Jump, 2M Token Context, and Super-App Integration
OpenAI releases GPT-6 with a 40% performance leap, a 2 million token context window, and a unified super-app merging ChatGPT, Codex, and the Atlas browser into a single agent experience.
OpenAI today launched GPT-6, its most powerful language model to date, delivering what the company describes as a 40% performance improvement over GPT-5.4 across coding, reasoning, and agentic tasks. The release marks a landmark moment for the AI industry, with GPT-6 achieving an HumanEval score above 95% and pushing MATH reasoning benchmarks to approximately 85%.
Perhaps the most significant technical advancement is GPT-6's expanded 2 million token context window — double that of its predecessor — enabling developers to feed entire codebases, extensive document collections, or prolonged multi-session conversations into a single model call. This dramatically expands the practical scope of enterprise AI applications that previously ran up against context limitations.
GPT-6 introduces a two-tier inference architecture that OpenAI describes as System-1 and System-2 thinking. System-1 handles rapid response and content generation, while System-2 performs internal logic verification and multi-step deduction. The company claims this design reduces hallucination rates to below 0.1% — a significant improvement over previous generations and a critical milestone for high-stakes deployments in medicine, law, and finance.
The model also brings fully native multimodal capabilities, processing text, images, audio, and video through a unified architecture without relying on separate pipelines. This eliminates the latency and context switching that characterized earlier multimodal implementations and enables more coherent reasoning across mixed-media inputs.
On the product side, OpenAI is positioning GPT-6 as the engine for a new super-application that merges ChatGPT, Codex, and the Atlas browser into a single desktop experience — allowing users to browse, code, and converse without losing context across sessions. Pricing is set at .50 per million input tokens and 2 per million output tokens, keeping costs flat relative to GPT-5.4 despite the substantial capability increase.
