According to @bcherny on X, Opus 4.7 replaces fixed thinking budgets with adaptive thinking and introduces adjustable effort levels to trade off speed and token usage against reasoning depth and capability (source: X post by Boris Cherny, Apr 16, 2026). As reported by the same source, lower effort yields faster outputs with fewer tokens, while higher effort delivers more intelligent, capable responses, with xhigh recommended for most tasks and max for the hardest tasks. According to the post, the /effort command sets the level, and max applies only to the current session while other levels persist, signaling practical controls for enterprises to manage latency, cost per request, and quality. For AI product teams, this enables dynamic orchestration—e.g., defaulting to medium effort for routine prompts and programmatically escalating to xhigh or max for complex reasoning—optimizing infrastructure spend and user experience.

According to Sam Altman (@sama), GPT-5.1 has been released with significant improvements in instruction following and adaptive thinking, enhancing overall intelligence and language style. These advancements represent a notable step forward in generative AI, offering businesses more reliable and context-aware solutions for tasks such as customer support automation, content generation, and workflow optimization. The improved adaptive reasoning in GPT-5.1 positions it as a key tool for enterprises seeking to leverage cutting-edge AI for complex problem-solving and operational efficiency (source: Sam Altman on Twitter, Nov 12, 2025).