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  5. Qwen3 MaxvsQwen3.5 Plus 2026-04-20
Updated Apr 2026

Qwen3 MaxvsQwen3.5 Plus 2026-04-20

Qwen3.5 Plus 2026-04-20 is cheaper than Qwen3 Max at $0.4/M vs $1.2/M input tokens.

Qwen3 Max and Qwen3.5 Plus 2026-04-20 compared across 52 shared prompts
SpecQwen3 MaxQwen3.5 Plus 2026-04-20
Input price$1.2/M tokens$0.4/M tokens
Output price$6/M tokens$2.4/M tokens
Context window256K tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 52 prompts both answered. Formatting stripped, words untouched.

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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Qwen3.5 Plus 2026-04-20391 words
Pirate: By the tides, they say this “artificial mind” can chart courses unseen and read a thousand ledgers in a breath. Sounds like a navigator that never sleeps and asks no questions. Knight: A curious construct. But can it be sworn to a code? Steel and oath bind a warrior; what binds this… model?
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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…

Qwen3 Max845 words
For the Experienced Software Engineer Think of a large language model (LLM) as a massively scaled, probabilistic autocomplete system—except instead of just your last few words, it conditions predictions on everything you’ve typed so far, using a context window that can span tens of thousands of tokens.
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Qwen3.5 Plus 2026-04-20852 words
Experienced Software Engineer (Distributed Systems/APIs) Think of an LLM not as a rule-based program, but as a massive, stateless probabilistic routing engine. During training, it ingests terabytes of text and learns to minimize a cross-entropy loss: essentially, it builds a high-dimensional lookup table that maps…
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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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Qwen3.5 Plus 2026-04-201,321 words
Dish Title: Convergence: Abalone, Asparagus, and the Alchemy of Time Course: Signature Main / Pre-Dessert Bridge Yield: 4 Plates Prep Time: 72 Hours (primarily curing/fermentation) Cooking Time: 45 Minutes I. Conceptual Narrative Convergence is a meditation on duality and transformation.
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Generate a Stand-Up Routine

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

Qwen3 Max578 words
[Stage lights up. Comedian walks out, grabs mic, squints at audience.] Alright, alright—settle down. I know, I know… you’re all thinking, “Why did I pay $18 for a drink to hear someone complain about adulting?” And honestly? Fair. I’d be mad too. But stick with me.
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Qwen3.5 Plus 2026-04-20640 words
Title: The Unexpected Item Time: Approx. 3 Minutes Style: Observational / Storytelling Constraint Check: Zero puns used. (Comedian walks to the mic, adjusts the stand, looks at the audience.) How's everyone doing? You look good. You look like you've successfully navigated the self-checkout today. That's a win.
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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…

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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Qwen3.5 Plus 2026-04-20306 words
🌙 Midnight Magic Noodles 🍜 A savory-sweet garlic butter noodle dish that feels like a gourmet meal but comes together in minutes using pantry staples. ⏱️ Estimated Time: Prep: 5 minutes Cook: 10 minutes Total: 15 minutes 🛒 The 7 Ingredients (Assumes water and salt for boiling pasta are on hand) 8 oz Pasta…
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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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Qwen3.5 Plus 2026-04-20852 words
Disclaimer: This is a fictional simulation crafted from Steve Jobs’ documented philosophies, public interviews, and known speaking cadence. It does not represent real statements, predictions, or endorsements from Mr. Jobs, who passed away in 2011.
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Our Verdict
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20
Qwen3 Max
Qwen3 MaxRunner-up

Not enough votes to call it. On the specs, Qwen3.5 Plus 2026-04-20 has the edge: newer, bigger context window.

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
Qwen3.5 Plus 2026-04-20
Input
$0.40
3.0× cheaper
Output
$2.40
2.5× cheaper

Qwen3.5 Plus 2026-04-20 is cheaper on both: 3.0× input, 2.5× output.

Where to run it

2 hosts

Qwen3 Max1 host
HostInOutContextUptime
Alibaba Cloud$0.78 in·$3.90 out·262k·100% up
Qwen3.5 Plus 2026-04-201 host
HostInOutContextUptime
Alibaba Cloud$0.30 in·$1.80 out·1M·100% up

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

Writing DNA

Style Comparison

Similarity
49%

Qwen3 Max uses 3.9x more transitions

Qwen3 Max
Qwen3.5 Plus 2026-04-20
60%Vocabulary59%
28wSentence Length15w
0.43Hedging0.28
5.4Bold4.4
3.7Lists2.5
0.69Emoji1.53
0.70Headings0.76
0.14Transitions0.04
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

Qwen3 Max logo
Qwen3 Max59 outputs, specs and price
Qwen3.5 Plus 2026-04-20 logo
Qwen3.5 Plus 2026-04-2056 outputs, specs and price
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