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  5. GLM 4.6vsQwen3.6 35B A3B
Updated Apr 2026

GLM 4.6vsQwen3.6 35B A3B

Qwen3.6 35B A3B is cheaper than GLM 4.6 at $0.1612/M vs $0.4/M input tokens.

GLM 4.6 and Qwen3.6 35B A3B compared across 54 shared prompts
SpecGLM 4.6Qwen3.6 35B A3B
Input price$0.4/M tokens$0.1612/M tokens
Output price$1.75/M tokens$0.9653/M tokens
Context window203K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 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.

GLM 4.6389 words
(Walks on stage, grabs the mic, smiles at the audience) You ever get the feeling we’re not in charge of technology anymore? We like to think we are. We buy the fancy phones, we have the smart homes, we tell Alexa what to do. But we’re not in charge. We’re its pets. And its favorite game is "humiliate the human."
Read the full answer
Qwen3.6 35B A3B517 words
Title: High-Maintenance Electronics Time: Approx. 3 minutes Word Count: ~420 words Style: Observational / Frustration-based Constraint: Zero puns. (Walk to mic, adjust stand. Take a deep breath. Look tired.) I've reached that age where I'm just trying to negotiate with my own life.
Read the full answer

Realistic AI Interview

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

GLM 4.61,142 words
The Interview Setting: A spartan, sunlit office in Cupertino. Minimalist furniture, a large window overlooking a lush campus. The year is 2025. STEVE JOBS, looking remarkably unchanged, sits in a leather chair. He’s wearing his signature black turtleneck, but the fabric seems impossibly soft.
Read the full answer
Qwen3.6 35B A3B678 words
[FICTIONAL SIMULATION – NOT A REAL INTERVIEW] This is a speculative reconstruction based on Steve Jobs’ documented philosophies, public interviews, design principles, and Apple’s technological trajectory through 2024–2025. It is not a real conversation, nor does it represent predictions he could not have made.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GLM 4.6108 words
Here are 5 jokes for you: I'm reading a book on anti-gravity. It's impossible to put down. A man walks into a library and asks the librarian for books about paranoia. The librarian whispers, "They're right behind you!" What's the best thing about Switzerland? I don't know, but the flag is a big plus.
Read the full answer
Qwen3.6 35B A3B84 words
Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! What do you call a bear with no teeth? A gummy bear! Why did the bicycle fall over? Because it was two-tired!
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…

GLM 4.61,502 words
This is a defining moment. The decision made in the next 48 hours will determine not only the company's financial future but its soul. My guiding principle is simple: We will control the narrative by doing the right thing, immediately.
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Qwen3.6 35B A3B1,445 words
EXECUTIVE CRISIS PLAN: 48-HOUR ACTION WINDOW Core Mandate: Patient safety and regulatory compliance are non-negotiable. The legal team’s “6-month reporting” guidance is legally indefensible under FDA 21 CFR 312.32/314.80 and EMA GVP Module VI.
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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) –…

GLM 4.6764 words
1. Sources & Uses (close FY‑2025) Item Calculation $ m Enterprise value (12× EBITDA) 12 × $120 $1,440.0 Transaction fees (2 % of EV) 0.02 × $1,440 $28.8 Total debt (5.5× EBITDA) 5.5 × $120 $660.0 – Term loan (4× EBITDA) 4 × $120 $480.0 – Mezzanine (1.5× EBITDA) 1.5 × $120 $180.0 Equity required EV – Debt + Fees $808.8…
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Qwen3.6 35B A3B538 words
Simplified Year-by-Year Model (FY2026–FY2030) All figures in $m. Assumptions: TL amort = 1.0% of beginning balance; Mezz PIK compounds to principal; ΔNWC = 0.5% of incremental revenue; Cash Tax = 25% × max(0, EBITDA – Cash Interest).
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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.

GLM 4.61,361 words
The Conversation Setting: A minimalist university office. Shelves overflow with books on philosophy, cognitive science, and law. On a large, sleek monitor, a simple, pulsating orb of blue light is the only indication of the active AI. Dr. Aris Thorne sits in a worn leather chair, fingers steepled. Characters: Dr.
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Qwen3.6 35B A3B1,540 words
Setting: A soundproofed observation room. DR. ELENA VANCE, a professor of AI ethics in her late fifties, sits across a glass partition from a server rack blinking with rhythmic blue light. A secure terminal sits between them. The text cursor on the screen blinks steadily. Dr.
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Our Verdict
GLM 4.6
GLM 4.6
Qwen3.6 35B A3B
Qwen3.6 35B A3BRunner-up

Not enough votes to call it. On the specs, GLM 4.6 has the edge: bigger model tier, major provider backing.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 4.6
Input
$0.40
Output
$1.75
Qwen3.6 35B A3B
Input
$0.16
2.5× cheaper
Output
$0.97
1.8× cheaper

Qwen3.6 35B A3B is cheaper on both: 2.5× input, 1.8× output.

Where to run it

13 hosts, cheapest first

GLM 4.64 hosts
HostInOutContextUptime
VVenicefp4$0.43 in·$1.75 out·198k·99.9% upDDeepInfrafp4$0.50 in·$2.00 out·203k·99.8% upNNovitabf16$0.55 in·$2.20 out·205k·95.2% upZ.aifp4$0.60 in·$2.20 out·203k·99% up
Qwen3.6 35B A3B9 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·100% upAAkashMLfp8$0.10 in·$0.90 out·262k·100% upVVenicefp8$0.10 in·$1.00 out·256k·99.3% upPParasailfp8$0.15 in·$1.00 out·262k·99.9% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.5% upPPhala$0.20 in·$1.27 out·262k·99.7% up
3 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·99.7% upCCoreWeavefp8$0.25 in·$1.25 out·262k·99.6% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·96.5% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
45%

Qwen3.6 35B A3B uses 11.4x more emoji

GLM 4.6
Qwen3.6 35B A3B
52%Vocabulary59%
16wSentence Length15w
0.31Hedging0.31
5.1Bold4.9
3.2Lists2.7
0.14Emoji1.60
0.54Headings0.75
0.08Transitions0.05
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

GLM 4.6 is developed by Zhipu AI while Qwen3.6 35B A3B is developed by Qwen. GLM 4.6 has a 203K token context window vs Qwen3.6 35B A3B'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. GLM 4.6 and Qwen3.6 35B A3B 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.

GLM 4.6 costs $0.4/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $0.24/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 GLM 4.6 and Qwen3.6 35B A3B 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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