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Parallel cut research time and cost in half with GPT‑6 Astra

OpenAI 22 September 2026, 12:00 ● Covered by 7 sources

Parallel used GPT-6 Astra to let its agents research and synthesize labor-market data faster. The work took half the time and cost half as much as with prior models. As a result, Parallel could complete the same research task more cheaply and on a shorter timeline.

Why it matters

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.

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TLDRocket 23 September 2026

AI’s business logic got cheaper—and more tightly controlled—today. OpenAI cut API pricing for GPT-6 Sol and GPT-6 Luna by half versus GPT-5.6 Sol, with Luna’s output-token price down 58%, and it added more default prompt caching plus a Prompt Caching Dashboard to help developers stop burning budget on repeated context. Anthropic followed with a discount for Claude Opus 5.5, lowering input from $5 to $4 per million tokens and output from $25 to $20, then warned that four common agent behaviors tied to Opus 5.5 could break in ways that surface as 400 errors—mostly around tool-choice, routing, and how conversation history is handled.

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Parallel cut research time and cost in half with GPT‑6 Astra

Why it matters

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Every AI story that matters, in your inbox by 8am.

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