GPT-5.5 is positioned as a new class of intelligence aimed at getting real work done on a computer rather than simply answering chat prompts. OpenAI describes it as their smartest and most intuitive model yet, designed to take a messy, multi-part task and carry it forward by planning, selecting tools, checking its own output, navigating ambiguity, and persisting until completion. The strongest gains are highlighted in agentic coding, computer use, knowledge work, and early scientific research, where sustained reasoning and action over time matter more than single-turn polish. To support that workflow, the model accepts text, image, and PDF inputs, produces text outputs, and is paired with reasoning, tool calling, structured output, and attachments so it can read documents, analyze data, write code, debug, operate software, and move across tools as a task unfolds.

A key practical story behind GPT-5.5 is that this step up in capability did not come at the cost of slower responses: it matches GPT-5.4 per-token latency in real-world serving while operating at a higher level of intelligence. OpenAI also notes that GPT-5.5 uses significantly fewer tokens to complete the same Codex tasks, making it more efficient as well as more capable, which matters for long agentic runs where token spend compounds. On the provider side, the model is available both through OpenAI and the Impossibl AI API as openai/gpt-5.5, alongside a higher-priced openai/gpt-5.5-pro tier, and it shares the same the cataloged API limit token that quick-info value window used by other flagship entries on that endpoint. For teams building agents and automation, GPT-5.5 is best understood as a strong fit when the goal is to delegate entire workflows with trust, rather than to optimize isolated chat answers.