Anthropic's latest flagship model, Claude Opus 4.5, delivers notable improvements in mathematical reasoning and code generation but comes with a significant trade-off: extreme token consumption that can exhaust entire usage quotas in a single prompt. A hands-on review putting the model through six distinct tests found it excelled where previous versions already performed well, including solving complex math problems and producing clean, functional game code. However, in areas where earlier Claude models struggled, the new release shows little meaningful improvement. The findings highlight a recurring challenge for frontier AI models — raw capability gains often come at the cost of efficiency, raising practical concerns for developers and businesses relying on token-limited API plans for everyday workloads.
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