I’m trying to decide which GPT-5 model would be more suitable for my programming tasks, and I’d love to hear your thoughts and experiences.
From what I understand:
GPT-5 (fast) offers faster responses with “medium reasoning effort.”
The standard GPT-5 provides “high reasoning effort” but is presumably slower.
I’m wondering how this trade-off between speed and reasoning quality applies to coding.
Which model have you found more effective for your daily coding workflow? Any specific examples where one clearly outperformed the other would be super helpful.
They’re both the same model, but the -fast variant uses openAIs priority processing API option, which provides faster speeds for 2x the price.
Likely how this works under the hood is that the priority fast requests go to a separate gpu cluster that has lower utilization, so the requests can be ran faster.