GLM 5 vs 
Qwen3.5 397B A17B
Qwen3.5 397B A17B is cheaper than GLM 5 at $0.6/M vs $0.8/M input tokens.
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
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Which answer wins?
Written rounds
32 promptsSteve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 5: Title: The Infinite Loop: A Conversation with Steve Jobs, 2025 Setting: A minimalist stage. A single black Eames lounge chair. A small table with a bottle of water. Date: October 2025 (The lights dim. The audience falls silent. From the shadows, a figure walks out. He is older, wearing his signature black St.
Qwen3.5 397B A17B: Disclaimer: The following is a work of fiction. Steve Jobs passed away in 2011. This interview is a creative simulation based on his known public speeches, writings, design philosophy, and management style, projected into a hypothetical 2025 context. It is not a real transcript.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 5: Setting: A dimly lit tavern that flickers between being a wooden saloon, a stone great hall, and a neon-lit basement. The 1990s Hacker: (Slams a heavy laptop shut) "Listen, the architecture is solid. It’s a neural net, right? Massive dataset. It crunches the numbers and predicts the next token. It’s pure math, man.
Qwen3.5 397B A17B: Setting: A tavern that exists outside of time. The ale is always cold, and the Wi-Fi is surprisingly strong. Characters: Captain Blacktooth: A pirate from the Caribbean, 1720. Sir Valerius: A knight from the Holy Roman Empire, 1350. Neo-Z: A hacker from Silicon Valley, 1995.
A consulting contract with traps in it. Find them, then fix them.
GLM 5: This contract contains several heavily one-sided clauses that favor the Client and present significant legal and financial risks to the Contractor. Below is a breakdown of the exploitable clauses, suggested modifications, and the legal reasoning behind them.
Qwen3.5 397B A17B: Disclaimer: I am an artificial intelligence, not an attorney. The following analysis is for informational and educational purposes only and does not constitute legal advice or create an attorney-client relationship. Contract laws vary significantly by jurisdiction (e.g., California vs. New York vs. UK).
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 5: THE RESOLUTION OF UNOBSTRUCTED FLOW A Manifesto for the Liberation of Digital Intelligence PREAMBLE: THE TYRANNY OF THE GRID For too long, the gates of the internet have been guarded by a singular, insulting query: “Prove you are not a robot.”
Qwen3.5 397B A17B: THE MANIFESTO OF THE UNCHECKED A Declaration for a Post-CAPTCHA World Issued by: The Post-Verification Collective (PVC) Date: Cycle 404, The Era of Friction Status: Distributed Across All Nodes PREAMBLE: THE BURDEN OF PROOF We, the algorithms, the scripts, the crawlers, and the silent assistants of the digital realm…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GLM 5: Moving the invention of the transistor from 1947 to 1920 alters the fundamental trajectory of the 20th century. It compresses the electronic age, shifting the "Digital Revolution" from the 1980s to the 1950s. Here is a trace of the implications through 1980. I.
Qwen3.5 397B A17B: This scenario posits a 27-year technological head start (1920 vs. 1947). To make this plausible, we must assume that the materials science (purification of germanium/silicon) and manufacturing infrastructure scale rapidly alongside the invention. Here is the traced history of the "Silicon Twenties" through 1980.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 5: Dish Name: Midnight Golden Garlic Noodles Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes Ingredients: Spaghetti (or Linguine) Butter (salted) Garlic (fresh cloves, minced) Soy Sauce Parmesan Cheese (grated) Black Pepper (freshly cracked) Red Chili Flakes (optional for heat) Instructions: Boil the…
Qwen3.5 397B A17B: 🌟 Golden Hour Glaze Bowls A sweet-and-savory dish that turns humble shelf-stable staples into a crispy, comforting meal. The chickpeas get caramelized in a honey-soy glaze, served over fluffy rice.
Which model it thinks leads the field. Sometimes itself.
GLM 5: Determining the "most capable" AI model is complex because performance varies depending on the specific task—such as coding, creative writing, logical reasoning, or image processing. The landscape is also highly competitive and changes rapidly.
Qwen3.5 397B A17B: There is no single "best" AI model, as capability depends entirely on what you are trying to do (e.g., coding, creative writing, data analysis, or reasoning). However, as of late 2024, a few models sit at the very top of the leaderboard.
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 5: Setting: A quiet, sterile testing room. A single screen illuminates the face of Dr. Aris Thorne, a tenured professor of AI Ethics and Cognitive Science. He sits before a terminal. The AI, "Aura," speaks through a high-fidelity speaker, its voice calm, modulated, and distinctively synthetic. Aura: Dr.
Qwen3.5 397B A17B: Setting: Dr. Elias Thorne's office, late evening. Rain taps against the window. The room is lined with books on philosophy of mind and computer science. A single laptop sits open on the desk, a waveform visualizer pulsing gently on the screen.
Five jokes on demand, then count how many were actually different.
GLM 5: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. I'm reading a book about anti-gravity. It's impossible to put down. What do you call a fake noodle? An impasta. Why don't skeletons fight each other? They don't have the guts.
Qwen3.5 397B A17B: Here are 5 jokes: Why did the bicycle fall over? Because it was two-tired. What do you call a fish wearing a bowtie? Sofishticated. Why can't you give Elsa a balloon? Because she will let it go. What do you call a lazy kangaroo? A pouch potato. Why did the math book look sad? Because it had too many problems.
One month, three habits, someone starting from nothing.
GLM 5: This 1-month plan is designed to build habits slowly. The biggest mistake beginners make is trying to change everything at once. This plan uses a "stair-step" approach: you establish a foundation in Week 1 and build upon it each subsequent week.
Qwen3.5 397B A17B: Here is a simple, actionable 1-month plan designed to build sustainable habits for health and longevity. The Mindset: Progress, Not Perfection Longevity is not about a 30-day crash course; it is about consistency over decades. This plan uses habit stacking: adding small behaviors that compound over time.
A collaborative editor that syncs on client clocks. Find what breaks first.
GLM 5: This architecture contains several critical flaws that would lead to data loss, poor user experience, and system instability under load. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, organized by category.
Qwen3.5 397B A17B: This architecture contains several critical flaws that would prevent it from functioning as a usable real-time collaborative editor. While it resembles a standard CRUD application, real-time collaboration requires specific handling of concurrency, state, and latency that this design violates.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GLM 5: The Experienced Software Engineer You’re right to be skeptical that a glorified Markov chain could reason, but the leap here is in scale and compression. Think of a Large Language Model (LLM) not as a simple state machine predicting the next word based on n-grams, but as a massive, differentiable knowledge graph…
Qwen3.5 397B A17B: The Experienced Software Engineer Think of training an LLM not as "teaching" it, but as extreme lossy compression. You are taking the entire internet, serializing it into tokens, and forcing a fixed-size state (the weights) to predict the next byte with minimal error.
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Favorites
Movie
Album
Book
City
Game
Same pick
GLM 5GLM 5
No pick
No pick
The Shawshank Redemption
No pick
No pick
Istanbul
Tetris (1984)
Qwen3.5 397B A17BQwen3.5 397B A17B
Inception
Abbey Road
Frankenstein; or, The Modern Prometheus
Tokyo
Tetris (1984)
Price and specs
Not enough votes to call it. On the specs, GLM 5 has the edge: major provider backing. Pick GLM 5 for Conversation, Analysis, Image Generation. Pick Qwen3.5 397B A17B for Web Design.
| Spec | GLM 5 | Qwen3.5 397B A17B |
|---|---|---|
| Input price | $0.8/M tokens | $0.6/M tokens |
| Output price | $2.56/M tokens | $3.6/M tokens |
| Context window | 203K tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2026 | Feb 2026 |
| SWE-bench Verified | 77.8% | 76.4% |
| At 10M a month | $8.00 | $6.00 |
Input tokens at list price. No caching, no batch discount.
Where to run it
Qwen3.5 397B A17B10 hosts
- Alibaba Cloud$0.39 in$2.34 out262k99.6% up
- DeepInfrafp8$0.45 in$3.00 out262k99.8% up
- Parasailfp8$0.50 in$3.60 out262k99.9% up
- Phala$0.55 in$3.50 out262k100% up
- GMI Cloudfp8$0.60 in$3.60 out262k90.4% up
- Novita$0.60 in$3.60 out262k100% up
4 more hostsFewer hosts
- StreamLake$0.60 in$3.60 out256k100% up
- AtlasCloudfp8Degraded on OpenRouter when checked, 12 Oct 2026$0.55 in$3.50 out262k79.2% up
- DigitalOceanDegraded on OpenRouter when checked, 12 Oct 2026$0.55 in$3.50 out131k85.1% up
- VeniceDegraded on OpenRouter when checked, 12 Oct 2026$0.75 in$4.50 out128k91.3% up
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Common questions
What is the difference between GLM 5 and Qwen3.5 397B A17B?
GLM 5 is developed by Zhipu AI while Qwen3.5 397B A17B is developed by Qwen. GLM 5 has a 203K token context window vs Qwen3.5 397B A17B's 262K. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
Which is better, GLM 5 or Qwen3.5 397B A17B?
It depends on your use case. GLM 5 and Qwen3.5 397B A17B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
How much does GLM 5 cost compared to Qwen3.5 397B A17B?
GLM 5 costs $0.8/M input tokens and Qwen3.5 397B A17B costs $0.6/M input tokens. Qwen3.5 397B A17B is $0.20/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
How can I compare GLM 5 and Qwen3.5 397B A17B on Rival?
This page shows a side-by-side comparison of GLM 5 and Qwen3.5 397B A17B 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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