
AI models benchmarked with Pac Man
AI models benchmarked with Pac Man Rob Beschizza 7:44 am Wed Sep 30, 2026 Claude's winning effort at Pac Man PacBench is an unusual benchmark for AI models: "Create a Pac-Man game in a single html page." Each entry shows the platform, the model, how long it took, how many tokens it used, and the cost. And unlike the pelican, we can play the results. Claude does best, with Opus 5.5 getting it nearly perfect in 9 minutes at a cost of $1.99.
- ▪AI models benchmarked with Pac Man Rob Beschizza 7:44 am Wed Sep 30, 2026 Claude's winning effort at Pac Man PacBench is an unusual benchmark for AI models: "Create a Pac-Man game in a single html page." Each entry shows the platform, the m
- ▪And unlike the pelican, we can play the results.
- ▪Claude does best, with Opus 5.5 getting it nearly perfect in 9 minutes at a cost of $1.99.
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| Original publisher | Boing Boing |
| Canonical URL | https://boingboing.net/2026/09/30/ai-models-benchmarked-with-pac-man.html |
| Publication time | Wed, 30 Sep 2026 14:44:17 +0000 |
| Retrieval time | 2026-09-30T15:02:01.638Z |
| Last seen | 2026-09-30T15:02:01.638Z |
| 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 | CVxmM92kVU4B · 1 stories |
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| 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
AI models benchmarked with Pac Man Rob Beschizza 7:44 am Wed Sep 30, 2026 Claude's winning effort at Pac Man PacBench is an unusual benchmark for AI models: "Create a Pac-Man game in a single html page." Each entry shows the platform, the model, how long it took, how many tokens it used, and the cost. And unlike the pelican, we can play the results. Claude does best, with Opus 5.5 getting it nearly perfect in 9 minutes at a cost of $1.99. Using Fable just runs up the tab ($5.87!), takes longer, and gets a couple of things wrong. Grok and GPT did pretty good (and the latter bangs it out for pennies) but it's already starting to feel like "Adobe Flash implementation circa 2005" and things get strange and broken therafter.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Boing Boing.