GLM 5 Turbo has a larger context window than GPT-2 (203K 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.
GLM 5 Turbo: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It’s a shame they’ll never meet. Why did the scarecrow win an award? Because he was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised.
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…
Three minutes of stand-up. Puns are banned.
GLM 5 Turbo: I bought a “smart” home recently. I don't know why. I am not a smart person. Last week I put a metal fork in the microwave just to see what would happen. Spoiler: the fork lost. But the commercials promised this seamless, futuristic lifestyle. "Just talk to your house!" they said. It sounded great.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 5 Turbo: The low hum of the server room bled through the heavy oak door of Dr. Aris Thorne’s office. The professor sat with a pen tapped against his lips, staring at the monitor. On the screen, a blinking cursor awaited his input. “Let the record show,” Dr.
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…
| Spec | ||
|---|---|---|
| Input price | $0.96/M tokens | — |
| Output price | $3.2/M tokens | — |
| Context window | 203K tokens | 1K tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | — |
| Released | Mar 2026 | Nov 2019 |
| At 10M a month | $9.60 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
GLM 5 Turbo is developed by Z.ai while GPT-2 is developed by OpenAI. GLM 5 Turbo has a 203K token context window vs GPT-2's 1K. You can compare their actual outputs across 7 challenges on Rival to see how they differ in practice.
It depends on your use case. GLM 5 Turbo and GPT-2 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 GLM 5 Turbo and GPT-2 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.