According to a case study published by OpenAI, Parallel's agents used GPT-6 Astra to research and synthesize labor-market data. The company reports that this cut both time and cost in half compared to previous models.
The source does not describe the specific workflow, the prior models used, or the nature of the labor-market data. The claim comes solely from OpenAI's own reporting, and no independent verification is mentioned.
For organizations running similar data-heavy agentic workloads, the result suggests meaningful efficiency gains, but it remains a single vendor-provided example rather than a broad benchmark.