GoKawiilInformal benchmark shows Python 3.15 performance gains over prior releases
A developer ran an annual informal benchmark comparing Python 3.15.0rc3 against interpreters back to 3.10, using two test programs: a recursive Fibonacci calculator and a bubble sort algorithm. The tests were run single-threaded, excluding I/O-bound workloads, to gauge raw interpreter speed changes across versions.
GoKawiil's interpretation of the reporting above, not reported fact.
Because the benchmark is self-described as informal and limited to two algorithm types, its results may not generalize to all Python workloads, particularly I/O-heavy or multi-threaded applications. Still, such year-over-year comparisons can help developers anticipate whether upgrading to 3.15 is likely to yield measurable speed benefits for CPU-bound code.
- The author tested Python 3.15.0rc3 ahead of its official release using a recurring informal benchmark methodology.
- Two test programs were used: a recursive Fibonacci calculation and an iterative bubble sort.
- The benchmark excludes I/O-bound code and is not intended as a comprehensive performance profile.
Source: blog.miguelgrinberg.com — Miguel Grinberg, 2026-10-06
Published there as: “How Fast is Python 3.15?”
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