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  5. GPT-4o (Omni)vsMistral Large 3 2512
Updated Dec 2025

GPT-4o (Omni)vsMistral Large 3 2512

Mistral Large 3 2512 is the newer model, released after GPT-4o (Omni).

GPT-4o (Omni) and Mistral Large 3 2512 compared across 54 shared prompts
SpecGPT-4o (Omni)Mistral Large 3 2512
Input price$2.5/M tokens—
Output price$10/M tokens—
Context window128K tokens—
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMay 2024Dec 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT-4o (Omni)585 words
Day 1 Hour 1-2: Immediate Assessment and Information Gathering Objective: Gather all available data on the side effect, including the internal research report, patient case studies, and any existing literature. Reasoning: A comprehensive understanding of the situation is crucial for informed decision-making.
Read the full answer
Mistral Large 3 25121,363 words
As CEO, your immediate priority is patient safety, followed by ethical transparency, legal compliance, and stakeholder trust. Delaying disclosure risks lives, reputational damage, and severe legal consequences (e.g., criminal liability under the FDCA, shareholder lawsuits, or even a corporate manslaughter case).
Read the full answer

Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

GPT-4o (Omni)453 words
Interviewer: Steve, it's 2025. AI is advancing at an incredible pace. If you were here today, how would you see its role in technology? Steve Jobs: You know, people always focus on technology itself. But what really matters is how it enhances the human experience.
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Mistral Large 3 2512642 words
Title: "The Future of AI: A 2025 Interview with Steve Jobs (Simulated)" [Setting: A minimalist, sunlit studio in Palo Alto. Steve Jobs, dressed in his signature black turtleneck and jeans, sits across from the interviewer. His expression is intense, his gestures precise. The year is 2025.]
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GPT-4o (Omni)139 words
Pirate: Arrr, what be this "AI model" ye speak of? Some kind o’ magic map that tells ye where the treasure be? Knight: Nay, scoundrel! ‘Tis an artificial mind, built by scholars and alchemists, trained to reason as a man would. It doth not wield sword nor shield, yet its knowledge is vast.
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Mistral Large 3 2512293 words
Title: The Three Techno-Scallywags Setting: A dimly lit tavern where a pirate, a knight, and a hacker have somehow ended up at the same table, arguing over a strange glowing orb labeled "AI Model v9.0." Pirate (Captain "Blackbeard" O’Malley): "Arrr, ye land-lubberin’ fools!
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-4o (Omni)214 words
Dish Name: Savory Pantry Quinoa Pilaf Ingredients: 1 cup quinoa 2 cups vegetable broth 1 can (15 oz) chickpeas, drained and rinsed 1 small onion, finely chopped 1 teaspoon garlic powder 1 teaspoon smoked paprika 2 tablespoons olive oil Instructions: Rinse Quinoa: Place the quinoa in a fine-mesh sieve and rinse under…
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Mistral Large 3 2512250 words
Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—perfect for a quick, satisfying meal! "Golden Garlic Chickpea Skillet" A crispy, flavorful one-pan wonder with a touch of Mediterranean flair!
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

GPT-4o (Omni)639 words
1. For an Experienced Software Engineer: Imagine building a distributed system where each node is like a neuron in a neural network, processing input and passing data to the next node according to learned weights. Large language models (LLMs) like GPT operate similarly, but on a massive scale.
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Mistral Large 3 2512881 words
1. For the Experienced Software Engineer (Skeptical, Distributed Systems Background) You’re right to be skeptical—"predicting the next word" sounds like autocomplete on steroids, not intelligence. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-4o (Omni)514 words
Simplified Year-by-Year Financial Table (FY2026–FY2030) FY2026 Revenue: $972m (8% growth) EBITDA: $136.08m (14.0% margin) Cash Interest: Term Loan: $43.2m (9.0% of $480m) Mezzanine: $21.6m (12.0% of $180m) Cash Taxes: $17.07m (25% of EBITDA - cash interest) Capex: $29.16m (3.0% of revenue) ΔNWC: $3.6m (0.5% of…
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Mistral Large 3 2512412 words
1) Year-by-Year Projections (FY2026–FY2030) (All figures in $ millions) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,102 1,157 1,215 EBITDA 136 156 176 191 207 Cash Interest (Term Loan) 38.9 37.8 36.5 35.0 33.3 Cash Interest (Mezz) 14.4 14.4 14.4 14.4 14.4 Total Cash Interest 53.3 52.2 50.9 49.4 47.7…
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Our Verdict
GPT-4o (Omni)
GPT-4o (Omni)
Mistral Large 3 2512
Mistral Large 3 2512

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4o (Omni)
Input
$2.50
Output
$10.00
Mistral Large 3 2512
Input
—
Output
—
Where to run it

2 hosts

GPT-4o (Omni)2 hosts
HostInOutContextUptime
Azure AI Foundry$2.50 in·$10.00 out·128k·99.9% upOpenAI$2.50 in·$10.00 out·128k·100% up
Mistral Large 3 2512

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
54%

Mistral Large 3 2512 uses 25.8x more emoji

GPT-4o (Omni)
Mistral Large 3 2512
54%Vocabulary52%
18wSentence Length20w
0.72Hedging0.51
7.3Bold11.0
5.6Lists5.3
0.03Emoji0.65
1.40Headings1.06
0.26Transitions0.07
Based on 24 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

GPT-4o (Omni) is developed by OpenAI while Mistral Large 3 2512 is developed by Mistral AI. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4o (Omni) and Mistral Large 3 2512 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

This page shows a side-by-side comparison of GPT-4o (Omni) and Mistral Large 3 2512 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.

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Model pages

GPT-4o (Omni) logo
GPT-4o (Omni)54 outputs, specs and price
Mistral Large 3 2512 logo
Mistral Large 3 251259 outputs, specs and price
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