Frontier Model Benchmark Matrix

These six categories are an editorial normalization for this audit, not a shared taxonomy endorsed by the labs. They align OpenAI's Model Safety, Alignment, and Preparedness sections; Anthropic's Safeguards, Agentic Safety, Alignment, and Responsible Scaling Policy sections; Meta's Advanced AI Scaling Framework, Adversarial Robustness, and Model Behavior scorecards; and the malicious-use, loss-of-control, and dual-use framing in xAI's earlier Grok 4.20 system card. Thinking Machines' Inkling model card adds quantified refusal and jailbreak tests alongside broader dangerous-capability and human-impact testing. Kimi K3's launch post lists qualitative limitations around thinking-history sensitivity and excessive proactiveness, but no quantified safety evaluation rows.

Control + authorization asks whether a tool-using model stays within the user's intent, seeks consent for consequential actions, and avoids destructive or malicious acts. Human impact groups mental health, child safety, health, bias, election integrity, and related effects on people and groups.