Parallel cut research time and cost in half with GPT-6 Astra
· Source: original
Parallel agents on GPT-6 Astra: labor market data collection twice as fast and half the cost
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Task: Parallel agents collect and synthesize labor-market data. Previously this ran on previous OpenAI models, now the pipeline has been moved to GPT-6 Astra.
🛠️ What changed: the same tasks are completed by the agents twice as fast. And twice as cheap — the reduction happens simultaneously across two metrics, time x2 and cost x2 versus prior models.
Step by step in the case study: agents go fetch market data, synthesize it, and deliver the result to production. There are no absolute values — hours, dollars, number of agents, or data volume — in the breakdown, only relative "twice as fast." The metrics were captured under production load.
Case study — "Parallel cut research time and cost in half with GPT‑6 Astra" on openai.com
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