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  5. GLM 4.6vsQwen3.7 Plus
Updated May 2026

GLM 4.6vsQwen3.7 Plus

Qwen3.7 Plus has a larger context window than GLM 4.6 (1.0M tokens vs 203K tokens).

GLM 4.6 and Qwen3.7 Plus compared across 54 shared prompts
SpecGLM 4.6Qwen3.7 Plus
Input price$0.4/M tokens$0.4/M tokens
Output price$1.75/M tokens$1.6/M tokens
Context window203K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedSep 2025May 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
Qwen3.7 Plus539 words
(Walks up to the mic, adjusts the stand, takes a deep breath) I am officially at the age where my body has a "check engine" light, but instead of a dashboard, it’s just a vague, lingering sense of dread in my lower back. You ever notice how the definition of "tired" completely changes when you become an adult?
Read the full answer

Character Voice Test

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

GLM 4.6469 words
Setting: A dimly lit, timeless tavern that smells of stale ale, sea salt, and ozone. Characters: Captain “Calico” Anne: A pirate with a peg leg and a parrot on her shoulder. Sir Reginald: A knight in tarnished armor, polishing his gauntlet. Zero: A hacker in a trench coat, tapping away on a glowing laptop. Zero: Whoa.
Read the full answer
Qwen3.7 Plus497 words
Setting: A dimly lit tavern where time and space have inexplicably folded. A glowing CRT monitor sits on a wooden table between them. Neon_Zip (1990s Hacker): "Dude, you gotta check this out. It’s a Large Language Model. I trained it on terabytes of warez and Usenet archives. It’s, like, the ultimate daemon.
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
Qwen3.7 Plus1,160 words
TITLE: The Ghost in the Machine: A Conversation with the Simulation of Steve Jobs DATE: October 12, 2025 PUBLICATION: Wired INTERVIEWER: Elena Rostova, Senior Technology Correspondent (Note: The following interview was conducted using “Project Lazarus,” an authorized, hyper-advanced neural linguistic model trained on…
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…

GLM 4.6288 words
Of course! Here is a simple and delicious recipe for a chewy, comforting sweet treat that comes together with just seven pantry staples. Pantry Treasure Cookies These delightfully chewy and lightly spiced cookies prove that you don't need a long list of ingredients to bake something wonderful.
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Qwen3.7 Plus311 words
Creative Name: Midnight Velvet Chocolate Peanut Butter Bites These no-bake, fudgy bites taste like a cross between a chocolate peanut butter cup and a soft oatmeal cookie. They require zero baking, come together in minutes, and use strictly shelf-stable staples you likely already have.
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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
Qwen3.7 Plus79 words
Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. Why don't skeletons fight each other? They don't have the guts. Why do cows wear bells?
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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…
Read the full answer
Qwen3.7 Plus741 words
Here is the simplified LBO underwriting analysis for HarborTech Services (HTS). Assumption: "1.0% annual amortization" is modeled as 1.0% of the beginning-of-year Term Loan balance, which is standard LBO convention unless "of original principal" is specified.
Read the full answer
Our Verdict
GLM 4.6
GLM 4.6
Qwen3.7 Plus
Qwen3.7 Plus

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

GLM 4.6
Input
$0.40
Output
$1.75
Qwen3.7 Plus
Input
$0.40
Output
$1.60
1.1× cheaper
Where to run it

5 hosts, cheapest first

GLM 4.64 hosts
HostInOutContextUptime
VVenicefp4$0.43 in·$1.75 out·198k·99.6% upDDeepInfrafp4$0.50 in·$2.00 out·203k·99.4% upNNovitabf16$0.55 in·$2.20 out·205k·99.2% upZ.aifp4$0.60 in·$2.20 out·203k·92.1% up
Qwen3.7 Plus1 host
HostInOutContextUptime
Alibaba Cloud$0.32 in·$1.28 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Writing DNA

Style Comparison

Similarity
68%

Qwen3.7 Plus uses 2.5x more transitions

GLM 4.6
Qwen3.7 Plus
52%Vocabulary54%
16wSentence Length18w
0.31Hedging0.22
5.1Bold4.1
3.2Lists2.6
0.14Emoji0.17
0.54Headings0.62
0.08Transitions0.20
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 Qwen3.7 Plus is developed by Qwen. GLM 4.6 has a 203K token context window vs Qwen3.7 Plus's 1.0M. 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 Qwen3.7 Plus 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 Qwen3.7 Plus costs $0.4/M input tokens. Qwen3.7 Plus is $0.00/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 Qwen3.7 Plus 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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