How Fast is Python 3.15?
It's October once again, and that means it is time to take the new release of Python for a spin (technically, it is the 3.15.0rc3 release that I'm using, the official 3.15 release is still a few days out). As I did with my Python 3.14 performance article of a year ago, today I'm sharing a new run of my informal Python benchmark, comparing Python 3.15 against previous interpreters all the way back to 3.10. If you are not interested in the charts and the tables and just want to read my analysis, feel free to jump to the conclusions section at the end.
- ▪It's October once again, and that means it is time to take the new release of Python for a spin (technically, it is the 3.15.0rc3 release that I'm using, the official 3.15 release is still a few days out).
- ▪As I did with my Python 3.14 performance article of a year ago, today I'm sharing a new run of my informal Python benchmark, comparing Python 3.15 against previous interpreters all the way back to 3.10.
- ▪If you are not interested in the charts and the tables and just want to read my analysis, feel free to jump to the conclusions section at the end.
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| Original publisher | Hacker News (Front Page) |
| Canonical URL | https://blog.miguelgrinberg.com/post/how-fast-is-python-3-15 |
| Publication time | Tue, 06 Oct 2026 21:52:57 +0000 |
| Retrieval time | 2026-10-06T23:31:27.970Z |
| Last seen | 2026-10-06T23:31:27.970Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | yl24CXiEz571 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
It's October once again, and that means it is time to take the new release of Python for a spin (technically, it is the 3.15.0rc3 release that I'm using, the official 3.15 release is still a few days out). As I did with my Python 3.14 performance article of a year ago, today I'm sharing a new run of my informal Python benchmark, comparing Python 3.15 against previous interpreters all the way back to 3.10. If you are not interested in the charts and the tables and just want to read my analysis, feel free to jump to the conclusions section at the end. The benchmark I just called my benchmark "informal". What does that mean? Getting an objective and universal measure of the performance of a programming language is impossible.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (Front Page).
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