Choosing Gen-AI for automation work

说明与用途

为自动化选择 Gen‑AI 模型：GPT‑6‑Astra 在步骤、令牌使用和执行时间上优于 Claude‑Fable‑5.1，提供更高质量结果。

问题

Selecting the most efficient Gen-AI model for a workflow automation project at a growing agency.

结果

GPT‑6‑Astra produced higher quality results in four steps, used 1.5x fewer tokens, and executed twice as fast as Claude‑Fable‑5.1, leading to its selection for future planning tasks.

工作流

• 1. Define the complex instruction to be automated.
• 2. Run the instruction through GPT‑6‑Astra and record steps, tokens, and time.
• 3. Run the same instruction through Claude‑Fable‑5.1 and record metrics.
• 4. Compare quality, steps, token usage, and execution time.
• 5. Select the model that meets quality and efficiency criteria (GPT‑6‑Astra).

证据

GPT‑6‑Astra was able to achieve excellent results in a shorter number of steps – specifically, a complex instruction required four steps to execute. In comparison, Fable‑5.1 took five steps and produced inferior results, consuming 1.5x more tokens and taking twice as long.

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