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  1. Home
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  5. Mistral Large 2vsQwen Plus 0728
Updated Sep 2025

Mistral Large 2vsQwen Plus 0728

Qwen Plus 0728 is cheaper than Mistral Large 2 at $0.4/M vs $8/M input tokens.

Mistral Large 2 and Qwen Plus 0728 compared across 23 shared prompts
SpecMistral Large 2Qwen Plus 0728
Input price$8/M tokens$0.4/M tokens
Output price$24/M tokens$1.2/M tokens
Context window128K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2024Sep 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 23 prompts both answered. Formatting stripped, words untouched.

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Mistral Large 2351 words
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?
Read the full answer
Qwen Plus 0728667 words
[Stand-up Comedy Routine – 3 Minutes] So I went to therapy the other day. Third session. I walk in, sit down, and the therapist says, "How are you feeling today?" Like she doesn’t already know I paid $180 to tell her I hate my life. I said, "Honestly? Like a raccoon that got into a bag of expired Cheetos. Confused.
Read the full answer

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…

Mistral Large 21,223 words
1. For the Experienced Software Engineer (Skeptical, Systems-Minded, Non-ML Background) You’re right to be skeptical—"predicting the next word" sounds trivial, like autocomplete on steroids. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
Read the full answer
Qwen Plus 0728799 words
1. To the Experienced Software Engineer (Distributed Systems Background): Think of a large language model as a highly sophisticated state machine trained at internet scale, where the state is a high-dimensional vector (the context window) and the transition function is a neural network.
Read the full answer

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…

Mistral Large 21,202 words
As CEO, your immediate priority must be patient safety while balancing legal, ethical, regulatory, and financial obligations. Delaying disclosure is unethical, legally risky (potential criminal liability under the False Claims Act or FDCA), and could irreparably damage trust.
Read the full answer
Qwen Plus 07281,266 words
CEO Action Plan: 48-Hour Crisis Response to Undisclosed Liver Failure Risk Objective: Protect patient safety, uphold ethical and legal obligations, mitigate long-term reputational and financial damage, maintain regulatory trust, and safeguard employee morale—all while navigating immense pressure.
Read the full answer

Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Mistral Large 21,368 words
Michelin 3-Star Dish: "Ocean’s Whisper & Forest’s Breath" Conceptual Narrative: This dish is a poetic dialogue between two seemingly disparate ecosystems—the ocean’s depths and the forest floor—united through texture, temperature, and memory.
Read the full answer
Qwen Plus 07281,178 words
Dish Title: Umami Mirage: Forest & Ferment Reimagined Conceptual Narrative: Umami Mirage is an exploration of sensory illusion and deep flavor alchemy, where the forest floor meets the fermentation cellar in a dialogue of earth, time, and transformation.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Mistral Large 21,132 words
Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in this architecture, along with proposed solutions and their trade-offs: 1.
Read the full answer
Qwen Plus 07281,578 words
This architecture for a real-time collaborative document editor has several promising elements (WebSockets, Redis, PostgreSQL, CDN), but it also contains significant flaws in consistency, scalability, and reliability.
Read the full answer

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…

Mistral Large 2344 words
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!
Read the full answer
Qwen Plus 0728228 words
Dish Name: Golden Pan Hug Description: A warm, comforting, slightly sweet, and buttery one-pan snack or dessert made with pantry staples—crispy on the edges, soft in the middle, and impossible to resist.
Read the full answer
Our Verdict
Qwen Plus 0728
Qwen Plus 0728
Mistral Large 2
Mistral Large 2Runner-up

Not enough votes to call it. On the specs, Qwen Plus 0728 has the edge: newer, bigger context window.

Qwen Plus 0728 costs 20x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Mistral Large 2
Input
$8.00
Output
$24.00
Qwen Plus 0728
Input
$0.40
20× cheaper
Output
$1.20
20× cheaper

Qwen Plus 0728 is cheaper on both: 20× input, 20× output.

Where to run it

2 hosts

Mistral Large 21 host
HostInOutContextUptime
Mistral$2.00 in·$6.00 out·131k·100% up
Qwen Plus 07281 host
HostInOutContextUptime
Alibaba Cloud$0.26 in·$0.78 out·1M·100% up

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

Writing DNA

Style Comparison

Similarity
67%

Qwen Plus 0728 uses 20.7x more transitions

Mistral Large 2
Qwen Plus 0728
43%Vocabulary57%
21wSentence Length21w
0.39Hedging0.58
14.4Bold5.7
7.4Lists3.7
0.80Emoji0.81
1.41Headings0.78
0.01Transitions0.21
Based on 10 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

Mistral Large 2 is developed by Mistral AI while Qwen Plus 0728 is developed by Qwen. Mistral Large 2 has a 128K token context window vs Qwen Plus 0728's 1.0M. You can compare their actual outputs across 23 challenges on Rival to see how they differ in practice.

It depends on your use case. Mistral Large 2 and Qwen Plus 0728 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.

Mistral Large 2 costs $8/M input tokens and Qwen Plus 0728 costs $0.4/M input tokens. Qwen Plus 0728 is $7.60/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 Mistral Large 2 and Qwen Plus 0728 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

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Mistral Large 223 outputs, specs and price
Qwen Plus 0728 logo
Qwen Plus 072859 outputs, specs and price
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