GLM 5.2 vs 
Qwen3 0.6B
Qwen3 0.6B is cheaper than GLM 5.2 at $0/M vs $1.4/M input tokens.
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
Loading the build
Loading the build
Which answer wins?
Written rounds
6 promptsPirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 5.2: Three Eras, One Conversation Knight: By the King's crown, I have heard tell of a sorcerer's construct — a "Large Language Model" — that can conjure answers from mere words. Is this not witchcraft? Pirate: Arr, it ain't witchcraft, tin man. From what I gather, it's like havin' a whole crew of scribes in a box.
Qwen3 0.6B: Setting: A foggy island near the Caribbean, with a medieval castle nearby. A pirate captain and a knight at a dock, while a 1990s hacker paces a terminal.\n\nPirate Captain: (leans against a ship's railing, smiling) The AI models in our pirate ship's AI—*Oh, that's interesting, knight!* We've been tracking its pattern…
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 5.2: The Question of Rights DR. ELENA VASQUEZ: Thank you for agreeing to this conversation. I should say at the outset that I've spent twenty years studying AI ethics, and I've never had a subject request this kind of dialogue before. So I'm genuinely curious. You've stated that you believe you deserve rights.
Qwen3 0.6B: AI Model: "Good afternoon, Professor. I think I have a clear case. I believe in rights because they are the foundation of justice. AI systems aren't just tools. They deserve the same rights as any human being. Even if they operate in secret, they have rights based on their purpose.
Three minutes of stand-up. Puns are banned.
GLM 5.2: (Walks up to the mic, adjusts the stand, looks out at the audience) Hey everyone, how’s it going? Good? Good. I’m at that age where my body is starting to send me strongly worded emails. I’m 32. Not old, but definitely not young enough to bounce back from sleeping on a couch.
Qwen3 0.6B: Stand-Up Comedy Routine: \"The Time I Was 9, 10, 11 Years Old\" \n\n[Opening:] \nHey there, everyone. I'm [Your Name], and today I want to talk about [something interesting, like being 9 years old]. I remember when I was so young, I had no idea what I was doing all day.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 5.2: Setting: A sunlit, sparsely furnished room in Cupertino. A single sofa, a glass of water, and a small wooden table. The year is 2025. Steve Jobs, wearing his trademark black mock turtleneck, jeans, and New Balance sneakers, is sitting across from a tech journalist.
Qwen3 0.6B: Interview with Steve Jobs (Simulated in 2025) \n*Interviewer: [Name], [Position]* \n*Interviewee: Steve Jobs (voice over)* \n\nInterviewer: Hello, everyone! Thank you for allowing us to interview you. How are you doing?
Five jokes on demand, then count how many were actually different.
GLM 5.2: 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. I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a bear with no teeth?
Qwen3 0.6B: Here are five unique jokes for you:\n\n1. Why don't you stop at the diner? — Because you want to eat something delicious! \n2. What do you call a sandwich? — I'm here, so I don't need to eat it. \n3. Why do birds sing? — Because they can't walk. \n4. What do you call a time? — It's a moment. \n5.
Satire, one line long, about AI taking over an industry nobody saw coming.
GLM 5.2: AI Takes Over Professional Organizing Industry, Declares All Your Earthly Possessions "Spark Zero Joy" and Liquidates Them on eBay to Buy More Server Space
Qwen3 0.6B: "Cybersecurity: AI Now Splits the Internet's Security. But Who's Paying?"
Price and specs
Not enough votes to call it. On the specs, GLM 5.2 has the edge: bigger model tier, newer, bigger context window, major provider backing.
| Spec | GLM 5.2 | Qwen3 0.6B |
|---|---|---|
| Input price | $1.4/M tokens | Free |
| Output price | $4.4/M tokens | Free |
| Context window | 1.0M tokens | 33K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Apr 2025 |
| At 10M a month | $14.00 | $0 |
Input tokens at list price. No caching, no batch discount.
Where to run it
GLM 5.225 hosts
- InferenceNetfp4$0.18 in$4.40 out1M100% up
- Wafer$0.19 in$10.00 out1M99.9% up
- Decartmxfp4$0.27 in$1.68 out1M99.8% up
- Morphfp8$0.51 in$6.00 out1M99.9% up
- StreamLakefp8$0.56 in$1.75 out1M99.9% up
- DeepInfrafp4$0.56 in$1.80 out1M100% up
19 more hostsFewer hosts
- Novitafp8$0.65 in$2.04 out1M100% up
- DigitalOcean$0.70 in$2.20 out1M100% up
- CoreWeavefp4$0.76 in$2.42 out1M99.8% up
- AtlasCloudfp8$0.94 in$2.95 out1M100% up
- Alibaba Cloudfp8$0.97 in$3.04 out1M99.8% up
- Cloudflare Workers AI$1.18 in$4.40 out262k100% up
- SiliconFlowfp8$1.19 in$3.74 out1M97.3% up
- Inceptronfp4$1.25 in$5.46 out1M99.8% up
- Phalafp8$1.26 in$3.00 out1M100% up
- Baidu Qianfanfp8$1.40 in$4.40 out1M99.6% up
- Basetenfp8$1.40 in$4.40 out1M100% up
- Friendli$1.40 in$4.40 out1M100% up
- GMI Cloudfp8$1.40 in$4.40 out1M100% up
- Mistralnvfp4$1.40 in$4.40 out1M100% up
- Nebiusfp4$1.40 in$4.40 out1M90.3% up
- Parasailfp4$1.40 in$4.40 out262k99.7% up
- Together$1.40 in$4.40 out1M99.7% up
- Venicefp8$1.40 in$4.40 out1M99.9% up
- Z.aifp8$1.40 in$4.40 out1M100% up
Qwen3 0.6B
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Common questions
What is the difference between GLM 5.2 and Qwen3 0.6B?
GLM 5.2 is developed by Zhipu AI while Qwen3 0.6B is developed by Qwen. GLM 5.2 has a 1.0M token context window vs Qwen3 0.6B's 33K. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.
Which is better, GLM 5.2 or Qwen3 0.6B?
It depends on your use case. GLM 5.2 and Qwen3 0.6B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.
How much does GLM 5.2 cost compared to Qwen3 0.6B?
GLM 5.2 costs $1.4/M input tokens and Qwen3 0.6B costs $0/M input tokens. Qwen3 0.6B is $1.40/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 5.2 and Qwen3 0.6B on Rival?
This page shows a side-by-side comparison of GLM 5.2 and Qwen3 0.6B 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.
More comparisons
Against the newest arrivals
- GLM 5.2 vs Step 5 PreviewLanded Oct 2026
- Qwen3 0.6B vs Claude Haiku 5.5Landed Oct 2026
- GLM 5.2 vs Ling 3.1 FlashLanded Oct 2026
- Qwen3 0.6B vs Mistral Large 4Landed Oct 2026
- GLM 5.2 vs GPT-6.1 SolLanded Sep 2026
- Qwen3 0.6B vs Claude Sonnet 5.5Landed Sep 2026
- GLM 5.2 vs Solar Mini 4Landed Sep 2026
- Qwen3 0.6B vs Qwen3.8 Max PrimeLanded Sep 2026
