On "GPT-6.1 Terra"

OpenAI's choice to lead with visual reasoning and computer use over raw capability gains tells you something important: they're optimizing for what enterprises actually deploy, not what benchmarks celebrate. Visual understanding and agentic behavior are the friction points that slow real-world adoption, so emphasizing those signals that this model is built to reduce deployment friction rather than chase incremental performance wins. If you're evaluating this for your stack, that's the actual story—less about whether it outscores o1, more about whether it actually runs your workflows without constant prompt engineering and workarounds.