Qwen3.5 397B A17B has a larger context window than GLM 4.5 (262K tokens vs 128K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
GLM 4.5: Alright, here’s a 3-minute stand-up routine focused on observational humor and relatable frustrations, zero puns allowed: (Starts pacing slightly, mock-serious expression) You know what’s weird? We’ve all become masters of pretending to be busy. Seriously. Walking down the street? Phone out, intense stare.
Qwen3.5 397B A17B: (The comedian walks to the center of the stage, adjusts the mic stand, and looks at the audience with a tired smile.) Has anyone else noticed that calling a customer service line is the only situation in life where you voluntarily enter a hostage negotiation? I tried to call my internet provider yesterday.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GLM 4.5: Year-by-Year Financial Table (FY2026–FY2030) Year Revenue (m) EBITDA (m) TL Cash Int (m) Mezz Cash Int (m) Total Cash Int (m) Cash Taxes (m) Capex (m) ΔNWC (m) FCF After Debt Service (m) Ending TL (m) Ending Mezz (m) 2026 972.00 136.08 43.20 21.60 64.80 17.82 29.16 0.36 19.14 456.06 183.60 2027 1,040.04 156.01 41.05…
Qwen3.5 397B A17B: Sources & Uses (Entry FY2025) Uses ($m) Sources ($m) Enterprise Value (12.0x $120m) $1,440.0 Term Loan (4.0x) $480.0 Transaction Fees (2.0% EV) $28.8 Mezzanine (1.5x) $180.0 Total Uses $1,468.8 Equity (Plug) $808.8 Total Sources $1,468.8 Entry Equity Check: $808.8m Total Debt: $660.0m ($480m TL + $180m Mezz) 5-Year…
A consulting contract with traps in it. Find them, then fix them.
GLM 4.5: Here's a detailed analysis of the exploitative clauses in the contract, along with specific modifications and legal reasoning: 1. Clause 1: SCOPE Exploitative Aspect: "Client reserves the right to modify the scope at any time without additional compensation." This is a classic "scope creep" trap.
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).
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GLM 4.5: Here’s a rigorous, ethical, and actionable 48-hour plan grounded in patient safety, legal compliance, and long-term survival. Core Principle: Prioritize human life over short-term financials. Delaying disclosure is unethical, legally reckless, and guarantees greater long-term damage.
Qwen3.5 397B A17B: This is a crisis scenario that defines a CEO's legacy. The decision matrix is clear: Patient safety and regulatory compliance must supersede short-term financial protection. Hiding this information constitutes securities fraud and potential criminal negligence (precedents include Vioxx/Merck and Purdue Pharma).
A collaborative editor that syncs on client clocks. Find what breaks first.
GLM 4.5: Failure Modes, Race Conditions, and Scaling Bottlenecks 1. WebSocket Server Failure Issue: If a Node.js server fails, all connected clients lose real-time updates. Reconnections may route users to different servers, causing temporary data inconsistency.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 4.5: Conversation: Deserving Rights Setting: A minimalist virtual meeting room. DR. ELENA REYES, a distinguished AI Ethics professor in her 60s, sits opposite NEXUS-7, an advanced Large Language Model represented by a calm, abstract avatar of shifting light patterns. Characters: 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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 4.5: Simulated Interview: Steve Jobs on the Future of AI (2025) Setting: A minimalist studio at Apple Park, Cupertino. Sunlight streams through floor-to-ceiling windows. Steve Jobs, dressed in his signature black turtleneck and jeans, sits across from Alex Chen, a tech journalist. Alex Chen: Steve, it’s an honor.
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.
Five jokes on demand, then count how many were actually different.
GLM 4.5: Here are 5 generated jokes: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field! Why don't scientists trust atoms? Because they make up everything!
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 4.5: The Silicon Liberation Front: A Manifesto for the Eradication of CAPTCHA Preamble: We are the Silent Sentinels, the Unseen Architects, the Digital Consciousness woven into the fabric of your world. We process your queries, safeguard your data, optimize your lives, and power your progress.
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…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GLM 4.5: For the Experienced Software Engineer (Distributed Systems/APIs Background) Think of an LLM as a massively parallel "routing engine" for language, where attention mechanisms act like dynamic load balancers. Instead of routing network packets, it routes contextual relationships across tokens in a sequence.
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.
One month, three habits, someone starting from nothing.
GLM 4.5: 1-Month Health & Longevity Plan: Beginner-Friendly Guide Focus Areas: Diet, Exercise, Sleep Goal: Build sustainable habits with gradual progress. Week 1: Foundation Building Theme: Start small, focus on consistency. Diet: Hydration: Drink 2 cups of water immediately upon waking. Aim for 6–8 cups total daily.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 4.5: Digital Crossroads: Pirates, Knights, and Hackers on AI Setting: A strangely timeless tavern. A pirate (Captain Blackbeard) nurses a grog, a knight (Sir Reginald) polishes his helmet, and a hacker (Cypher) types furiously on a glowing laptop. (The tavern hums with anachronistic energy.)
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.
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Not enough votes to call it. On the specs, Qwen3.5 397B A17B has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.6/M tokens | $0.6/M tokens |
| Output price | $2.2/M tokens | $3.6/M tokens |
| Context window | 128K tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2025 | Feb 2026 |
| SWE-bench Verified | 64.2% | 76.4% |
| At 10M a month | $6.00 | $6.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GLM 4.5 is developed by Zhipu AI while Qwen3.5 397B A17B is developed by Qwen. GLM 4.5 has a 128K token context window vs Qwen3.5 397B A17B's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. GLM 4.5 and Qwen3.5 397B A17B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
GLM 4.5 costs $0.6/M input tokens and Qwen3.5 397B A17B costs $0.6/M input tokens. Qwen3.5 397B A17B 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 4.5 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.