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Ted Sanders argues that LLM version numbers now encode release order, lineage, and expected magnitude of improvement, not just a headline milestone. He also says model size is the main predictor of reliability, per-token cost, and factual recall, though performance across tasks is still uneven. For readers, this is a useful guide to decoding vendor naming schemes when comparing models, but it comes from one company's own framing and doesn't offer independent benchmarks.
1
Source coveringSimon Willison
Quoting Ted Sanders
Simon Willison2 min read
In general, LLM performance is incredibly multidimensional. There's no guarantee of a fixed ordering where the model that is best at math is also the model that's best at jokes. Despite…
Excerpt shown under the publisher's RSS terms · 31 words · full text and figures are on the publisher's site
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