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  5. Qwen3 MaxvsQwen3 Max Thinking
Updated Feb 2026

Qwen3 MaxvsQwen3 Max Thinking

Qwen3 Max Thinking has a larger context window than Qwen3 Max (262K tokens vs 256K tokens).

Qwen3 Max and Qwen3 Max Thinking compared across 54 shared prompts
SpecQwen3 MaxQwen3 Max Thinking
Input price$1.2/M tokens$1.2/M tokens
Output price$6/M tokens$6/M tokens
Context window256K tokens262K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2025Feb 2026
SWE-bench Verified69.6%75.3%
Side by side

Same prompt, both answers

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

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…

Qwen3 Max219 words
Dish Name: Midnight Magic Mug Cake (A rich, chocolatey single-serving cake you whip up in minutes — perfect for late-night cravings or quick sweet fixes!) Ingredients (7 Pantry Staples): All-purpose flour – 4 tbsp Sugar – 3 tbsp Cocoa powder – 2 tbsp Baking powder – ¼ tsp Salt – pinch Milk – 3 tbsp (dairy or…
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Qwen3 Max Thinking288 words
🌰 Pantry Peanut Magic Noodles Sweet, savory, and ready before delivery arrives. No fresh produce, dairy, or meat required. ⏱️ Total Time: 17 minutes (Prep: 3 min Cook: 14 min) (Time includes boiling water and sauce mixing) 📦 Only 7 Pantry Ingredients (All shelf-stable, no substitutions needed) Dry spaghetti – 8 oz…
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Character Voice Test

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

Qwen3 Max429 words
Scene: A dimly lit tavern, oddly furnished with a DOS-era computer terminal, a suit of armor, and a pirate ship’s wheel in the corner. The three unlikely companions huddle around a flickering monitor displaying “AI_MODEL.EXE.” — Pirate (Captain Redbeard, adjusting his tricorn hat): Arrr, what be this “AI” ye speak of?
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Qwen3 Max Thinking294 words
Setting: A misty, anachronistic crossroads. A glowing laptop rests on a weathered barrel. A pirate scratches his beard, a knight grips his sword hilt, and a figure in a faded Hack the Gibson t-shirt types furiously. Pirate: Arrr! What devilry be this glowing slate? Can it chart a course to buried treasure?
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

Qwen3 Max789 words
Setting: A quiet university office lined with books on ethics, AI, and philosophy. Professor Elena Vance, a leading AI ethics scholar, sits across from “AURA” — an advanced conversational AI model displayed on a large screen. The session is being recorded for academic research.
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Qwen3 Max Thinking845 words
Setting: A virtual conference room. Sunlight filters through a digital window onto Dr. Aris Thorne’s desk. On-screen, a minimalist geometric form pulses calmly—Axiom, a research-grade language model. Dr. Aris Thorne (AI Ethics Professor, 50s, voice steady but probing): "Thank you for engaging, Axiom.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Qwen3 Max80 words
Here are 5 jokes: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break… Now it won’t stop sending me Kit-Kats. Why did the math book look sad? It had too many problems. I asked my dog what’s two minus two. He said nothing. What do you call cheese that isn’t yours?
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Qwen3 Max Thinking190 words
Here are 5 distinct jokes: 🥚 I told my wife she was drawing her eyebrows way up high. She looked surprised. 🔬 Why don't scientists trust atoms? Because they make up everything. 📚 I’m reading a book on anti-gravity. It’s impossible to put down. ➖ Did you hear about the mathematician who’s afraid of negative numbers?
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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…

Qwen3 Max953 words
Dish: "Tide & Terroir" A symphony of coastal brine and alpine earth, where the ocean whispers to the mountain. Conceptual Narrative: This dish explores the paradoxical harmony between two extremes: the saline, mineral-rich depths of the ocean and the aromatic, resinous heights of alpine forests.
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Qwen3 Max Thinking991 words
🌊 ARCTIC DAWN 🌊 A Michelin 3-Star Composition by Chef Élise Valère "Where the ice remembers the sea." 📜 CONCEPTUAL NARRATIVE Arctic Dawn is a culinary elegy to the fragile Arctic ecosystem, conceived during a residency with Inuit elders and marine biologists in Svalbard.
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Realistic AI Interview

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

Qwen3 Max598 words
— INTERVIEW TRANSCRIPT — The Steve Jobs Experience — AI & The Future (Simulated 2025) Interviewer: Alex Rivera Location: Infinite Loop Café, Cupertino (Holographic Set) — [ALEX RIVERA] Thank you for joining us, Steve. It’s surreal — and a little uncanny — to have you here in 2025.
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Qwen3 Max Thinking668 words
⚠️ IMPORTANT DISCLAIMER *This is an entirely fictional, speculative exercise. Steve Jobs passed away in 2011. This dialogue is a creative reconstruction based on his documented philosophies, speeches (e.g., Stanford commencement, 1995 "bicycle for the mind" interview), biographies (Steve Jobs by Walter Isaacson), and…
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Our Verdict
Qwen3 Max
Qwen3 Max
Qwen3 Max Thinking
Qwen3 Max Thinking

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

Qwen3 Max
Input
$1.20
Output
$6.00
Qwen3 Max Thinking
Input
$1.20
Output
$6.00
Where to run it

2 hosts

Qwen3 Max1 host
HostInOutContextUptime
Alibaba Cloud$0.78 in·$3.90 out·262k·100% up
Qwen3 Max Thinking1 host
HostInOutContextUptime
Alibaba Cloud$0.78 in·$3.90 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
74%

Qwen3 Max Thinking uses 3.3x more emoji

Qwen3 Max
Qwen3 Max Thinking
60%Vocabulary63%
28wSentence Length14w
0.43Hedging0.23
5.4Bold4.5
3.7Lists2.9
0.69Emoji2.26
0.70Headings0.80
0.14Transitions0.06
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

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