OpenAI's Ted Sanders offers a rule for choosing GPT models
Original title: OpenAI's Ted Sanders shares a rule of thumb for picking the right GPT-model
He says pick Astra for quality, Sol if somewhat price-sensitive, and Terra or Luna when price matters most.
OpenAI's Ted Sanders says language-model performance is multidimensional, so a single score would hide differences in size, reasoning effort and multi-agent use. He still treats model size as the main source of most gaps, while noting newer smaller models can beat older larger ones. He says GPT-6.1 Terra is likely better than larger Astra at technical communication and roughly matches it on image processing and computer use at a lower price, but trails elsewhere.
Unconfirmed: The quality and price comparisons are Sanders's own characterization, not published benchmarks.
- Sanders says size, reasoning effort and multi-agent systems are separate dimensions.
- He says newer, smaller models can outperform older, larger ones.
- Terra is described as weaker than Astra in most areas other than the ones he names.
- Vendors
- OpenAI
- AI models
- GPT-6.1 TerraAstraSolLuna
From the original article
1 min read at the-decoder.com
OpenAI's Ted Sanders breaks down where GPT-6. 1 Terra fits in the lineup. The smaller model beats the larger Astra at technical communication and costs far less but falls short in most other areas.
By Matthias Bastian · the-decoder.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.