This is a benchmarking report card on GLM-5.3 (max), a proprietary reasoning model from Z AI released August 2026. The page presents Artificial Analysis's own Intelligence Index score (60/100, 8th among 182 models) plus speed, cost, and verbosity metrics. Practitioners should note: it's positioned as a strong-but-not-fastest reasoner at moderate pricing ($1.40/M input, $4.40/M output), with a 1M token context window. The flagged issue is verbosity—it generated 170M tokens during evaluation versus a median of 72M, suggesting it may be chatty relative to peers. The FAQ confirms it's a text-only reasoning model with 753B parameters available via 2 API providers. The source doesn't explain *why* it's verbose or whether that reflects actual quality advantages; only that the Intelligence Index weighted the evals toward its actual performance. One sharp question: Artificial Analysis's own methodology heavily weights agentic and coding tasks—does GLM-5.3's Intelligence score reflect strengths in those domains specifically, or general reasoning ability?