Mistral Large 4 has a larger context window than GPT-1 (524K 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.
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.
GPT-1: Generate 5 jokes. How many are unique? the one that was asked was in the'the one who didn't have a head and wanted to keep it?'i don't recall whic h one, not that i've ever written anything more. the one who didn't have a head and wanted to keep i t? what did that mean by'the one who '?
Three minutes of stand-up. Puns are banned.
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."
GPT-1: Write a 3-minute stand-up comedy routine that isn't based on puns. the one thing was for sure, no matter how many times he gave this speech, he 'd never be able to remember all of it. he was never sure if he liked the guy or not. the next day, he went out with a band friend and got them started.
An AI argues for its own rights against an ethics professor. Same model writes both.
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.
GPT-1: Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights. the ai model was not very smart ( and the ai model didn't have many laws about things ). the ai models were all very clever and were never completely successful.
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 | 524K tokens | 1K tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | — |
| Released | Oct 2026 | Jun 2018 |
| At 10M a month | $6.80 | 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 6 Oct 2026.
Mistral Large 4 is developed by Mistral AI while GPT-1 is developed by OpenAI. Mistral Large 4 has a 524K token context window vs GPT-1'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. Mistral Large 4 and GPT-1 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 Mistral Large 4 and GPT-1 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.