Real breakdown, not a blended average: GPT models come out faster in every category measured here, comparing each side's best-fit model for the job rather than an arbitrary pairing.
For each category, this compares this site's own best-fit Claude pick against its best-fit GPT pick: the same "good fit" model each side would actually point you to, not an arbitrary pairing.
"×" is the speed multiplier over a typical person doing the same task by hand: see how we measure → for the full method.
Both providers ship a range of models, from quick everyday ones to slower specialists; pairing the wrong two against each other (a specialist Claude model against a quick GPT model, or vice versa) would distort the answer either way. The table above pairs each side's actual best fit for that category, which is the fair comparison. A different, mismatched pairing could easily flip individual rows.
Want a different pairing? Compare AI Models lets you pick any specific Claude model against any specific GPT model, on any task, and race that exact combination live.
These are per-category best-fit comparisons; for one blended average across every task and every model, see the full model comparison →. Prefer a plain-language answer for one specific job? Which model should I use? → Curious how the open-weight models stack up against these two? Paid vs open-source AI →