AI / Claude OPUS5 Interview questions
Explain the tradeoffs of using Claude Opus 5's Fast mode versus standard mode?
Fast mode trades roughly double the per-token price, $10 input/$50 output versus $5/$25 on standard, for approximately 2.5 times faster output, a meaningfully different cost-speed tradeoff curve than simply raising or lowering the effort parameter on standard mode.
Because it's currently a research preview available only through the Claude API, adopting it also means accepting platform lock-in for that specific workload - it isn't an option for teams routing traffic through Amazon Bedrock, Google Cloud, or Microsoft Foundry, so a multi-platform deployment can't apply it uniformly across all its Opus 5 traffic.
As a research preview rather than a generally-available feature, its behavior, pricing, and availability carry more risk of changing over time than standard mode's, worth weighing for any production workload planning to depend on it long-term rather than for exploratory or lower-stakes use.
The practical decision point is usually workload-specific: latency-sensitive interactive loops, like live drafting or exploration, benefit most from the speed gain, while high-volume, cost-sensitive batch-style workloads are generally better served by standard mode, possibly combined with a lower effort level instead of a faster but pricier mode.
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