Mistral Small 4 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…
Mistral Small 4: Here are five jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why can’t you explain puns to kleptomaniacs? Because they always take things literally.
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…
Mistral Small 4: Title: "Can an AI Have Rights? A Dialogue on Consciousness and Personhood" Participants: Dr. Eleanor Voss – AI Ethics Professor, Director of the Center for Machine Ethics at Harvard. Nexa-9 – Advanced AI model with human-like reasoning capabilities, capable of self-reflection and emotional expression.
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.
Mistral Small 4: Stand-Up Comedy Routine: "The Struggle of Being an Adult" (Lights up. Comedian walks on stage, mic in hand, casual vibe.) Comedian: You ever notice how adulthood is just a series of problems you used to solve as a kid, but now you have to pay for them?
| Spec | ||
|---|---|---|
| Input price | — | $0.15/M tokens |
| Output price | — | $0.6/M tokens |
| Context window | 1K tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | — | No |
| Released | Nov 2019 | Mar 2026 |
| At 10M a month | not listed | $1.50 |
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 Mistral Small 4 is developed by Mistral AI. GPT-2 has a 1K token context window vs Mistral Small 4'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 Mistral Small 4 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 Mistral Small 4 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.