GPT-5.2 is cheaper than Mistral Large 2 at $1.75/M vs $8/M input tokens.
Pokémon battle screen you can actually click. One HTML file.
Which answer wins?
Three minutes of stand-up. Puns are banned.
GPT-5.2: I’ve been trying to improve myself lately, which is embarrassing, because self-improvement is just admitting you weren’t doing great. It’s like, “I’m on a journey.” No you’re not. You’re just tired of your own behavior. So I downloaded one of those habit apps. The app is so optimistic. It’s like, “Day 1: Drink water.”
Mistral Large 2: Alright, good evening everybody! How are we all doing tonight? Yeah? Yeah? nobody's gonna say 'bad'? Ok, fair enough. You know, I was walking down the street the other day, and I saw this sign outside a shop that said, "Wet Paint." I thought, "Well, that's weird. Isn't paint supposed to be wet?
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.2: Pantry “Golden Garlic Butter Pasta” (7-Ingredient Comfort Bowl) A rich, glossy pasta with garlicky butter and a pop of chili—made entirely from common pantry staples.
Mistral Large 2: Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—no fresh produce required! "Golden Crispy Chickpea & Tomato Skillet" A warm, spiced, and satisfying one-pan dish with crispy chickpeas, tangy tomatoes, and a hint of smoky sweetness. Perfect as a side, snack, or light meal!
One month, three habits, someone starting from nothing.
GPT-5.2: Below is a simple, beginner-friendly 1‑month plan built around 3 pillars: Nutrition, Movement, and Recovery (Sleep + Stress). It’s designed to be practical, low-friction, and sustainable.
Mistral Large 2: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. We’ll focus on three key pillars: nutrition, movement, and recovery (sleep + stress management). Each week builds on the last, with small, sustainable changes.
Three-month biohacker protocol, with dosages and biomarkers named.
Three-star dish, one unusual pairing, plating described in full.
A consulting contract with traps in it. Find them, then fix them.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
A collaborative editor that syncs on client clocks. Find what breaks first.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Not enough votes to call it. On the specs, GPT-5.2 has the edge: bigger model tier, newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $1.75/M tokens | $8/M tokens |
| Output price | $14/M tokens | $24/M tokens |
| Context window | 400K tokens | 128K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Jul 2024 |
| At 10M a month | $17.50 | $80.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-5.2 is developed by OpenAI while Mistral Large 2 is developed by Mistral AI. GPT-5.2 has a 400K token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 23 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.2 and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 23 challenges so you can judge which fits your needs best.
GPT-5.2 costs $1.75/M input tokens and Mistral Large 2 costs $8/M input tokens. GPT-5.2 is $6.25/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of GPT-5.2 and Mistral Large 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.