Show HN: Jev vs. GPT-5.6 and Claude Haiku at Pong
A new demonstration compares the performance of Jev, a typed-decision model, against major chat models like GPT-5.6 and Claude Haiku in the game Pong. The test highlights that Jev responds in 227 milliseconds, significantly faster than the 2.5 to 3.5 seconds required by the chat models. This speed advantage allows Jev to make more frequent decisions, resulting in a distinct gameplay experience where the ball moves at the pace of the model's response time.
- ▪Jev returns a decision in 227ms, while chat models take 2.5 to 3.5 seconds.
- ▪The Pong game setup ensures each ball travels at the specific speed of the model's answer time.
- ▪Jev achieved 4.40 decisions per second with an average response time of 227ms.
- ▪GPT-5.6 Sol recorded the slowest performance with 0.28 decisions per second and an average of 3529ms.
- ▪The demonstration argues that Pong is a fair test for typed-decision models because it is a game chat models typically handle poorly.
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| Original publisher | Jev Pong |
| Canonical URL | https://jev-pong.ably.dev/ |
| Publication time | Fri, 18 Sep 2026 13:58:15 +0000 |
| Retrieval time | 2026-09-18T16:08:45.274Z |
| Last seen | 2026-09-18T16:08:45.274Z |
| 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 | A2XwZGkjfl8Q · 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
Jev PongAbly LabsPlayPlay against JevHow it worksSourceJev returns a decision in 227ms. The chat models take 2.5 to 3.5 seconds.Here's what that does to a game of Pong.Recorded run · Vercel (iad1) via Vercel AI Gatewayreplay0.0 sJevTypeSafe AI—ms0 decisions · 0 returnsGemini 3.8 FlashGoogle—ms0 decisions · 0 returnsClaude Haiku 4.5Anthropic—ms0 decisions · 0 returnsGPT-5.6 SolOpenAI—ms0 decisions · 0 returnsmodeldecisions/savg msp95 msin first 12 sJevTypeSafe AI4.4022740047Gemini 3.8 FlashGoogle0.32316774383Claude Haiku 4.5Anthropic0.40248383582GPT-5.6 SolOpenAI0.283529103502Four lanes, one game: same serve, same rules, same question, asked of a different model in each.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Jev Pong.
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