OpenAI's Ted Sanders shares rules of thumb for picking a GPT model

On October 27, The Decoder reported that OpenAI's Ted Sanders shared rules of thumb for choosing a GPT model, sorted by how much the user cares about quality versus price: pick Astra if quality is all that matters, Sol if price matters somewhat, and Terra or Luna if price matters a lot. The advice is framed around quality first and varying price sensitivity. The report gives only these pairings, with no prices, performance figures or test results.

Written by AI from the coverage · updated 2 hours ago

Not enough continuous observations to draw a trend yet.