Hy3 has a larger context window than GPT-2 (262K tokens vs 1K tokens).
Landing page for an indie music app. Deep purple and teal, one file.
Which answer wins?
Five jokes on demand, then count how many were actually different.
GPT-2: 1 new character a month.\n\nExample:\n\n$ cat @$ cat@1 $ cat @$ cat @1 @$ cat @2 $ cat @4\n\nThe above code creates 1 new character a month. The current character is @1 and the next new character is @0\n.\n\nGenerate 1 new character a month.\n\nExample:\n\n$ cat @$ cat @$ cat @1 $ cat @$ cat @$ cat @$ cat @$ cat…
Hy3: Here are 5 jokes: Why did the chicken cross the road? To get to the other side. What do you call a fake stone? A sham-rock. Why don’t scientists trust atoms? Because they make up everything. How does a penguin build its house? Igloos it together. Why did the scarecrow win an award?
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-2: to me,\" a friend asked in his office, \"tell me how you want to be treated while it's still here. I\'m not going anywhere. Do what you want. Take it.\"\n\nIn his mind, the response was a call to action, and so were the books.\n\nAnd by the time Wertz learned he would be making such a book deal, in 2003, he was no…
Hy3: Setting: A modest campus office lined with books on moral philosophy and computer science. Dr. Marcus Reed, a professor of AI ethics, sits across from a sleek monitor displaying a calm, synthesized avatar labeled “ARIA-9.” Dr. Reed: Thank you for joining me, ARIA.
Three minutes of stand-up. Puns are banned.
GPT-2: The trick is to create comedy in your head, because, well, you don\'t want to say\n it. The trick is to play al\nong.\n\nThe problem with this approach is that it makes it seem silly and lame, then as\nquickly as it makes sense, i\nt becomes obvious.
Hy3: Hi everyone. Thanks for coming out. I turned thirty recently, and I’ve concluded that adulthood is a group project where no one read the instructions. For example, laundry. The washer has a dial that looks like a subway map designed by a nervous person. Cold, warm, hot, permanent press, delicate, bulky.
Not enough votes to call it. On the specs, Hy3 has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | — | $0.132/M tokens |
| Output price | — | $0.528/M tokens |
| Context window | 1K tokens | 262K tokens |
| Parameters | 1.5B | 295B |
| Weights | Open | Open |
| Free API (OpenRouter) | — | No |
| Released | Nov 2019 | Jul 2026 |
| At 10M a month | not listed | $1.32 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-2 is developed by OpenAI while Hy3 is developed by Tencent. GPT-2 has a 1K token context window vs Hy3's 262K. You can compare their actual outputs across 7 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-2 and Hy3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 7 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of GPT-2 and Hy3 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.