Parallel cut research time and cost in half with GPT‑6 Astra
GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models.
Get smart on it
A startup that builds developer infrastructure for AI agents completed research tasks in half the time and at half the cost by using a newer AI model. The model made more focused searches and took fewer steps to reach results, allowing the startup to complete complex data compilation work faster while maintaining quality. This efficiency gain matters because it reduces both the time and computational resources required for AI agents to perform knowledge work, making it more practical to divide research tasks among multiple agents working simultaneously.
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