OpenAI has once again reclaimed the top spot in the Artificial Analysis Intelligence Index. The GPT-5.5 model scored 60 points, edging out Claude 4.7 and Gemini 3.1 Pro. However, for the corporate sector, this victory is a mixed blessing: Sam Altman’s technical triumph masks a catastrophic drop in reliability alongside surging costs. While token consumption has been optimized by 40%, a twofold increase in API pricing ($5 per million input tokens and $30 per million output tokens) turns this upgrade into a budget-burning project. According to Artificial Analysis calculations, the real cost of operation has risen by 20% compared to version 5.4.
The primary nightmare for operational activities is an 86% hallucination rate. According to the AA Omniscience benchmark, the model demonstrates record factual accuracy (57%), yet at the slightest hint of doubt, it chooses aggressive fabrication over admitting incompetence. This creates a dangerous paradox: the system has become "smarter," but it cannot be trusted. Analysts at Artificial Analysis explain that progress was achieved solely by increasing memory capacity, while the fundamental problem of hallucinations remains stagnant. In legal or finance departments, a model that prefers confident disinformation over a simple "I don't know" should be viewed not as an assistant, but as a systemic threat.
The compute market is currently fragmented: raw power is becoming cheaper, while trust is turning into a scarce and expensive commodity. GPT-5.5 offers performance comparable to Claude 4.7 while costing four times less ($1,200 versus $4,800), yet Google’s Gemini 3.1 Pro maintains its price leadership at $900. However, token-based savings are an illusion if OpenAI’s hallucination frequency is double that of Anthropic’s models. The expenses required for human verification of AI responses will only continue to grow, neutralizing any benefits from the "efficient" architecture.
Purchasing access to GPT-5.5 today looks like a voluntary 20% premium for a system that fails in nine out of ten complex interactions. For executives, this is a clear signal: the era of simple scaling has hit a wall. Until OpenAI teaches its model basic humility, GPT-5.5 will remain a costly experiment unfit for autonomous operation.