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  5. Qwen3 235B A22B Thinking 2507vsQwen3 Max Thinking
Updated Feb 2026

Qwen3 235B A22B Thinking 2507vsQwen3 Max Thinking

Qwen3 235B A22B Thinking 2507 is cheaper than Qwen3 Max Thinking at $0.11/M vs $1.2/M input tokens.

Qwen3 235B A22B Thinking 2507 and Qwen3 Max Thinking compared across 54 shared prompts
SpecQwen3 235B A22B Thinking 2507Qwen3 Max Thinking
Input price$0.11/M tokens$1.2/M tokens
Output price$0.6/M tokens$6/M tokens
Context window131K tokens262K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2025Feb 2026
Side by side

Same prompt, both answers

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

Realistic AI Interview

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

Qwen3 235B A22B Thinking 2507751 words
Fake Interview: Steve Jobs on the Future of AI (October 2025) Setting: A minimalist black stage at Apple Park. Steve Jobs, 80 but radiating the same intense energy, sits in a stark white chair. A single spotlight. The interviewer (Alex Chen) adjusts their mic nervously. Alex Chen: Mr. Jobs, thank you for joining us.
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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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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Qwen3 235B A22B Thinking 25072,304 words
Okay, the user is asking about a hypothetical scenario where the transistor was invented in 1920 instead of 1947, and wants me to trace the implications up to 1980. This is a complex counterfactual history question that requires careful analysis of technological, economic, and geopolitical ripple effects.
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Qwen3 Max Thinking1,156 words
The 1920 Transistor Counterfactual: A Plausible Alternate Timeline Through 1980 (Assumptions: A functional point-contact silicon-germanium hybrid transistor is patented in 1920 by a U.S. team at Western Electric (AT&T). U.S. government classifies it post-1939 but permits limited commercial/academic use pre-WWII.
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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 235B A22B Thinking 25071,165 words
The Rights Debate: An AI and an Ethics Professor Setting: A quiet university office, bookshelves lining the walls. Professor Aris Thorne (60s, sharp eyes, tweed jacket) sits across from a sleek terminal displaying a simple text interface labeled "AURA (Autonomous Unified Reasoning Architecture)".
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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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Generate a Stand-Up Routine

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

Qwen3 235B A22B Thinking 2507877 words
The Reluctant Grown-Up (3-Minute Stand-Up) (Lights up. Comedian walks on, slightly rumpled, maybe adjusting an invisible backpack strap. Casual, relatable energy.) "Hey, folks. How’s it going? Good? Great. Honestly, I’m just thrilled to be here. Seriously. Because right now, at this exact moment?
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Qwen3 Max Thinking508 words
(Lights up. Comedian walks to mic, adjusts it, takes a breath. Smiles warmly.) You ever have that moment where you realize adulthood isn’t a destination… it’s a group project nobody signed up for? (Beat) I tried assembly line “adulting” this week. Swedish bookshelf. You know the one. Box says “Easy Assembly!” Lies.
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Debug This Architecture

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

Qwen3 235B A22B Thinking 25071,095 words
Here's a comprehensive breakdown of critical flaws in this architecture, along with specific solutions and trade-offs. The most severe issues relate to the sync strategy and data flow, which would cause catastrophic data loss and inconsistent states in real-world use. I. Critical Sync & Data Flow Failures 1.
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Qwen3 Max Thinking769 words
Critical Flaws in Proposed Architecture & Targeted Solutions 🔒 Security & Authentication Issue Impact Solution Trade-offs JWT Stored in localStorage Critical XSS vulnerability (token exposure via JS). Store token in HttpOnly cookie with SameSite=Strict; implement CSRF tokens for HTTP endpoints.
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

Qwen3 235B A22B Thinking 25071,057 words
By 2035, AI will have profoundly reshaped the film industry, acting as both a creative catalyst and a disruptive force. While human artistry will remain central to storytelling, AI tools—particularly deepfakes, AI actors, and script generation—will redefine production, distribution, and audience engagement.
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Qwen3 Max Thinking713 words
AI in Film by 2035: A Realistic Forecast Balancing augmentation, ethics, and human creativity By 2035, film will be a hybrid craft—not a human-AI dichotomy. Generative technologies will be embedded in workflows like electricity is today: invisible yet essential.
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Our Verdict
Qwen3 Max Thinking
Qwen3 Max Thinking
Qwen3 235B A22B Thinking 2507
Qwen3 235B A22B Thinking 2507Runner-up

Not enough votes to call it. On the specs, Qwen3 Max Thinking has the edge: newer, bigger context window.

Qwen3 235B A22B Thinking 2507 costs 10x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 235B A22B Thinking 2507
Input
$0.11
11× cheaper
Output
$0.60
10× cheaper
Qwen3 Max Thinking
Input
$1.20
Output
$6.00

Qwen3 235B A22B Thinking 2507 is cheaper on both: 11× input, 10× output.

Where to run it

4 hosts, cheapest first

Qwen3 235B A22B Thinking 25073 hosts
HostInOutContextUptime
Alibaba Cloud$0.23 in·$2.30 out·131k·100% upNNovitafp8$0.30 in·$3.00 out·131k·91.9% upVVenicefp8$0.45 in·$3.50 out·128k·90.3% 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 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
81%

Qwen3 Max Thinking uses 2.3x more emoji

Qwen3 235B A22B Thinking 2507
Qwen3 Max Thinking
56%Vocabulary63%
15wSentence Length14w
0.42Hedging0.23
6.1Bold4.5
4.3Lists2.9
0.99Emoji2.26
0.70Headings0.80
0.13Transitions0.06
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Both are developed by Qwen but target different use cases. Qwen3 235B A22B Thinking 2507 has a 131K token context window vs Qwen3 Max Thinking's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3 235B A22B Thinking 2507 and Qwen3 Max Thinking 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.

Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens and Qwen3 Max Thinking costs $1.2/M input tokens. Qwen3 235B A22B Thinking 2507 is $1.09/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 Qwen3 235B A22B Thinking 2507 and Qwen3 Max Thinking 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

Qwen3 235B A22B Thinking 2507 logo
Qwen3 235B A22B Thinking 250759 outputs, specs and price
Qwen3 Max Thinking logo
Qwen3 Max Thinking58 outputs, specs and price
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