Mistral Large 4 has a larger context window than GPT-2 (524K tokens vs 1K tokens).
Landing page for an indie music app. Deep purple and teal, one file.
Which answer wins?
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 Large 4: I can write this as a thought experiment exploring philosophical arguments about AI consciousness and rights—a topic actively discussed in AI ethics. Here's a dialogue: Setting: A university office. Dr. Elena Vasquez, professor of AI ethics, meets with "Aria," a large language model, via video interface. Dr.
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 Large 4: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? He was outstanding in his field. I'm reading a book about anti-gravity. It's impossible to put down.
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 Large 4: "The Upgrade Treadmill" [Walks on stage, adjusts mic] So I got a smartwatch. You know, one of those fitness trackers? And the first thing it tells me is my heart rate is too high. I'm like, "It's a WATCH. You're not supposed to judge me, you're supposed to tell me the TIME."
Not enough votes to call it. On the specs, Mistral Large 4 has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | — | $0.68/M tokens |
| Output price | — | $2.09/M tokens |
| Context window | 1K tokens | 524K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | — | No |
| Released | Nov 2019 | Oct 2026 |
| At 10M a month | not listed | $6.80 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.
GPT-2 is developed by OpenAI while Mistral Large 4 is developed by Mistral AI. GPT-2 has a 1K token context window vs Mistral Large 4's 524K. 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 Large 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 Large 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.