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nvanlandschoot

14 karma · joined November 21, 2025

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nvanlandschoot··on 15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro
Yeah, the progress is still incredibly impressive even if 15× is overstated. Curious to see how far it goes in the future.
nvanlandschoot··on 15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro
“Haiku is faster than Opus” is fine as a simple statement. But if you’re going to say “15× faster” in a model card, it should be at similar accuracy. Otherwise you’re mostly comparing different settings, as opposed to a technological leap in model performance. It’s not technically wrong, it’s just not very useful and a bit misleading as a headline.
nvanlandschoot··on 15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro
I think they modified the page. If you search for GPT-5.3-Codex-Spark, Google still has it indexed with 15x. Searching: GPT-5.3-Codex-Spark + "15x" will show all the downstream sites that picked up the claim.
nvanlandschoot··on 15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro
Method: I used OpenAI’s published SWE-Bench Pro chart points and matched GPT-5.3-Codex-Spark to the baseline model at comparable accuracy levels by reasoning effort. At similar accuracy, the effective speedup is closer to ~1.37× rather than 15×.