Qwen3.5 122B A10B 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…
Qwen3.5 122B A10B: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a bear with no teeth? A gummy bear! Why don't eggs tell jokes? They'd crack each other up!
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…
Qwen3.5 122B A10B: Setting: Dr. Elias Thorne’s office at a university in Zurich. It is late. Rain taps against the window. Thorne sits in a leather armchair. A terminal screen glows softly on his desk. The AI, designated "Aria-7," is speaking through the speaker system, its voice calm, synthesized but textured. Dr.
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.
Qwen3.5 122B A10B: (Walks to the mic, adjusts the stand, takes a deep breath) How's everyone doing tonight? Good? Good. I need to talk about the modern grocery store experience. specifically, the self-checkout machine. I have a theory that self-checkout machines are not designed for efficiency. They are designed for humiliation.
Not enough votes to call it. On the specs, Qwen3.5 122B A10B has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | — | $0.4/M tokens |
| Output price | — | $3.2/M tokens |
| Context window | 1K tokens | 262K tokens |
| Parameters | 1.5B | 122B (10B active) |
| Weights | Open | Open |
| Free API (OpenRouter) | — | No |
| Released | Nov 2019 | Feb 2026 |
| At 10M a month | not listed | $4.00 |
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 Qwen3.5 122B A10B is developed by Qwen. GPT-2 has a 1K token context window vs Qwen3.5 122B A10B'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 Qwen3.5 122B A10B 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 Qwen3.5 122B A10B 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.