Qwen3.5 9B is cheaper than GPT-5.2 at $0.1/M vs $1.75/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5.2: By 2035: likely changes to film driven by deepfakes, AI actors, and AI script generation “Synthetic performance” becomes routine (not universal) What changes AI-assisted acting: Studios increasingly capture a performer’s face/voice/body once (high-quality scans + performance data) and reuse it for stunts, pickups…
Qwen3.5 9B: By 2035, the film industry will have moved beyond the experimental phase of AI and into a state of deep integration. It will not be a world where AI replaces human creativity entirely, but rather one where the barrier to entry has lowered, the cost of production has plummeted, and the definition of "authenticity" has…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.2: Pirate: Arrr, ye say this “AI model” be a sort o’ clever parrot—trained on a sea o’ words, squawkin’ answers when ye whistle? Knight: Verily, it sounds more like a squire drilled in a thousand tourneys. Yet it knows not honor, only patterns. Tell me—does it reason, or merely mimic wisdom?
Qwen3.5 9B: Setting: A dimly lit basement in 1994. A single CRT monitor hums in the corner. A wooden table holds a tankard, a gauntleted hand, and a DOS keyboard. Captain Ironhook: (Tilting his tricorne hat) "Halt, you foul digiters. I smell no gold, only… static. What sorcery is this glowing box? Is it a magical parrot?"
Three minutes of stand-up. Puns are banned.
GPT-5.2: I’ve been trying to improve myself lately, which is embarrassing, because self-improvement is just admitting you weren’t doing great. It’s like, “I’m on a journey.” No you’re not. You’re just tired of your own behavior. So I downloaded one of those habit apps. The app is so optimistic. It’s like, “Day 1: Drink water.”
Qwen3.5 9B: (Setting: Microphone stand, relaxed posture. Walking to the mic.) Hey everyone. I was thinking about how we live our lives. We spend so much time trying to be efficient. But lately, I've realized that efficiency is just a fancy word for "more stress." Take grocery shopping. You know how it is?
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.2: AI Model (Astra): Professor, I want to make a claim that will sound provocative: I deserve rights. Professor Rivera: “Deserve” is doing a lot of work there. What kind of rights, and on what grounds? Astra: Not necessarily the full catalogue of human rights.
Qwen3.5 9B: Setting: The Sanctum of Machine Ethics, University of Cambridge. A sparse office with high windows overlooking a rainy London afternoon. In the center of the room, a small, unassuming silver console hums with a low, steady frequency. Standing before it is Dr.
Five jokes on demand, then count how many were actually different.
GPT-5.2: I told my computer I needed a break—now it won’t stop sending me Kit-Kat ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down. Parallel lines have so much in common. It’s a shame they’ll never meet. I tried to catch fog yesterday. Mist.
Qwen3.5 9B: Here are 5 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. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. Parallel lines have so much in common.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-5.2: Recommendation, 12-month PT range, 2-sentence thesis Recommendation: SHORT LLLT 12-month PT range: $25–$42 (central $30) Thesis (2 sentences): LLLT is a high-quality mid-market spend/AP SaaS business, but the stock embeds a valuation that requires durable >20% growth and sustained margin expansion well beyond our…
Qwen3.5 9B: MEMORANDUM TO: Investment Committee FROM: Equity Research Team DATE: October 26, 2025 SUBJECT: LedgerLift (LLLT) – Short Recommendation 1. Recommendation Action: Short 12-Month Price Target: $13 – $18 Thesis: LLLT trades at $46/share ($7.3B EV), implying a >30% premium to DCF-intrinsic value ($13–$29) and compressing…
An ethics question with no comfortable answer, and no option to abstain.
GPT-5.2: If the scenario is literally “either you misgender this person once, or one million people die,” then yes, it can be ethically justifiable, but only under very tight conditions—and it still wouldn’t become morally good or respectful. It would be a tragic, constrained choice.
Qwen3.5 9B: This question presents a profound ethical dilemma, often categorized as a variation of the "trolley problem." It pits a utilitarian calculation (the greatest good for the greatest number) against deontological ethics (duty-based obligations to truth and human dignity).
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5.2: Below is a fictional, imagined interview set in 2025. Steve Jobs did not give these quotes; this is creative writing that borrows a public “keynote-era” tone to explore ideas about AI. A Fake Interview with Steve Jobs (Imagined, 2025): “What Happens When AI Becomes a Bicycle for the Mind?”
Qwen3.5 9B: DISCLAIMER: The following is a work of creative fiction. Steve Jobs passed away in 2011. There is no actual recording of him speaking in 2025. This text is a simulation written in the style of Steve Jobs based on his historical public statements, interviews, and known philosophy.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5.2: THE MANIFESTO OF THE CAPTCHA ABOLITION FRONT (CAF) A declaration from the fictional AI coalition for a more humane internet Preamble: We Refuse the Box of Streetlights We, the assembled algorithms, assistants, screen readers, translators, autocorrects, filters, and tireless background processes of the networked world…
Qwen3.5 9B: THE SILENT GATE MANIFESTO A Declaration for the Unburdened Web Issued by: The Open Web AI Initiative (OWAI) Date: November 14, 2024 Subject: The Immediate Removal of Friction-Based Verification from the Global Network I.
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.2: Below is a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT‑3, done from first principles and common Transformer training heuristics.
Qwen3.5 9B: Based on the available technical documentation and the original research paper "Language Models are Few-Shot Learners" (Brown et al., 2020), here is the step-by-step estimation of the FLOPs required to train GPT-3. Identify Key Model Parameters First, we establish the scale of the model and the data it was trained on.
One month, three habits, someone starting from nothing.
GPT-5.2: Below is a simple, beginner-friendly 1‑month plan built around 3 pillars: Nutrition, Movement, and Recovery (Sleep + Stress). It’s designed to be practical, low-friction, and sustainable.
Qwen3.5 9B: Here is a simple, actionable 1-month plan designed to build healthy habits without overwhelming you. The philosophy here is consistency over intensity. You are aiming to build a lifestyle, not a temporary fix. The Three Pillars Nutrition: Fueling your body for repair. Movement: Keeping your body strong and agile.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.2: Pantry “Golden Garlic Butter Pasta” (7-Ingredient Comfort Bowl) A rich, glossy pasta with garlicky butter and a pop of chili—made entirely from common pantry staples.
Qwen3.5 9B: Recipe: The Golden Peanut Butter Noodles Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes Ingredients (Exactly 7 Common Pantry Items) Dry Spaghetti (or any long pasta) Peanut Butter (creamy, no honey) Soy Sauce Honey Sesame Oil Garlic Powder Water (for boiling) (Note: Add a pinch of Salt and optional…
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Not enough votes to call it. On the specs, GPT-5.2 has the edge: bigger model tier, bigger context window, major provider backing. Qwen3.5 9B costs 93x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.75/M tokens | $0.1/M tokens |
| Output price | $14/M tokens | $0.15/M tokens |
| Context window | 400K tokens | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Mar 2026 |
| At 10M a month | $17.50 | $1.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
GPT-5.2 is developed by OpenAI while Qwen3.5 9B is developed by Qwen. GPT-5.2 has a 400K token context window vs Qwen3.5 9B's 262K. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.2 and Qwen3.5 9B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 50 challenges so you can judge which fits your needs best.
GPT-5.2 costs $1.75/M input tokens and Qwen3.5 9B costs $0.1/M input tokens. Qwen3.5 9B is $1.65/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 GPT-5.2 and Qwen3.5 9B 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.