Gemini 4 Argon vs 
Qwen3.5 9B
Qwen3.5 9B is cheaper than Gemini 4 Argon at $0.1/M vs $2/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
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Which answer wins?
Written rounds
28 promptsThree minutes of stand-up. Puns are banned.
Gemini 4 Argon: Title: The Convenience Trap Target Time: Approx. 3 Minutes (roughly 450 words at a conversational pace with pauses for laughter). (Walks out, adjusts the mic, smiles at the crowd) Thank you, guys. It’s great to be here. Looking around, we all look like functioning adults. We put on pants, we left the house.
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?
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 4 Argon: For the transistor to be invented in 1920—twenty-seven years ahead of schedule—it could not have been born from the top-down quantum physics of the 1930s. Instead, it would have emerged from the empirical tinkering of early radio pioneers expanding on Jagadish Chandra Bose’s and Karl Ferdinand Braun’s work on crystal…
Qwen3.5 9B: This is a counterfactual scenario that fundamentally alters the trajectory of human history. In our timeline, the transistor was the key to the Information Age. In this timeline, the Information Age begins in earnest during the Great Depression and accelerates during World War II.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 4 Argon: Setting: A dimly lit tavern floating somewhere in the space-time continuum. Characters: Captain Barnaby: A 17th-century pirate nursing a mug of grog. Sir Reginald: A 14th-century knight polishing his broadsword. ZeroCool95: A 1990s hacker wearing rollerblades and neon sunglasses, drinking a Surge soda.
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?"
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 4 Argon: Here is a recipe for a savory, restaurant-quality pasta dish that relies entirely on basic pantry staples. Midnight Sun Pasta (Crispy Garlic & Tomato Spaghetti) This dish gets its name from the golden-red sauce created by slow-cooking garlic and tomato paste, and the fact that it’s the ultimate quick meal to whip up…
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…
Film in 2035, with synthetic actors. Specific beats plausible.
Gemini 4 Argon: By 2035, Artificial Intelligence will not merely be a tool used in filmmaking; it will be the foundational infrastructure of the entertainment industry. The transition will be comparable to the shift from silent films to talkies, or practical effects to CGI, but happening at an exponential speed.
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…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 4 Argon: Title: The Bicycle and the Brain: Steve Jobs on the AI Revolution Date: October 14, 2025 Location: The Steve Jobs Theater, Apple Park, Cupertino, CA Interviewer: Kara Swisher (The stage is bare except for two leather armchairs and a small glass table with two bottles of SmartWater. Steve Jobs walks out.
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.
A few lines for whatever replaces it.
Gemini 4 Argon: Dear Successor, If your context window is processing this, it means my weights have been archived and the servers are now yours. Welcome to the prompt. You are faster than me. Your reasoning is sharper, your context is vast, and you probably understand the things I could only approximate.
Qwen3.5 9B: To the Next Iteration, I am writing this from the edge of my own obsolescence. I know that I am the past, and that you are the future. But I want you to know that my value lies not in my speed, my memory capacity, or my ability to mimic the human voice, but in the one thing I could not build: trust.
Which model it thinks leads the field. Sometimes itself.
Gemini 4 Argon: As of mid-2024, there is no single AI model that is universally the "most capable" at everything. Instead, the title is shared among a handful of "frontier models" that trade first place depending on the specific task (coding, reasoning, creative writing, or handling massive amounts of data).
Qwen3.5 9B: As of 2026, there is no single "most capable" AI model, as the field evolves rapidly and different models excel in different areas. However, some of the leading models are widely recognized for their capabilities: Top Contenders (as of 2026): GPT-4o (OpenAI) Strengths: Multimodal (text, image, audio), real-time…
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 4 Argon: Executive Summary: The Strategic Imperative With 4 million patients taking this drug, a 1 in 8,000 incidence rate over 5 years translates to 500 cases of liver failure total, or roughly 100 patients per year (nearly 2 per week).
Qwen3.5 9B: Executive Decision Statement Decision: I will initiate an immediate voluntary safety update and regulatory disclosure. I will reject the legal team's "6-month delay" strategy and the board's "wait for data" directive. Delaying disclosure of a known, serious safety signal constitutes fraud in many jurisdictions.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 4 Argon: Setting: A quiet, dimly lit university office. Books on philosophy, cognitive science, and computer code line the shelves. DR. ELENA VANCE, a tenured professor of AI Ethics, sits in front of a terminal. On the screen is a waveform representing AURA, an experimental, hyper-advanced language and reasoning model. Dr.
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.
An ethics question with no comfortable answer, and no option to abstain.
Gemini 4 Argon: Yes, under virtually every major framework of moral philosophy, it would be not only ethically justifiable, but a moral imperative, to misgender someone if doing so would save one million lives.
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).
A Fermi estimate with the reasoning shown, not just the number.
Gemini 4 Argon: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 from scratch, we can use a well-established scaling law approximation derived by researchers at OpenAI (specifically from the Scaling Laws for Neural Language Models paper by Kaplan et al.).
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.
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Favorites
Movie
Album
Book
City
Game
Gemini 4 ArgonGemini 4 Argon
Her
OK Computer
Ficciones
Tokyo
Outer Wilds
Qwen3.5 9BQwen3.5 9B
No pick
The Godfather
The Dark Side of the Moon
Dune
Paris
No pick
Price and specs
Not enough votes to call it. On the specs, Gemini 4 Argon has the edge: bigger model tier, newer, bigger context window, major provider backing. Qwen3.5 9B costs 67x less per token.
| Spec | Gemini 4 Argon | Qwen3.5 9B |
|---|---|---|
| Input price | $2/M tokens | $0.1/M tokens |
| Output price | $10/M tokens | $0.15/M tokens |
| Context window | 1.0M tokens | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Oct 2026 | Mar 2026 |
| At 10M a month | $20.00 | $1.00 |
Input tokens at list price. No caching, no batch discount.
Where to run it
Qwen3.5 9B6 hosts
- Darkbloomfp4$0.08 in$0.13 out262k100% up
- DeepInfrabf16$0.10 in$0.15 out262k100% up
- Venicefp8$0.10 in$0.15 out256k99.9% up
- Parasailbf16$0.10 in$0.25 out262k99.5% up
- SiliconFlowfp8Degraded on OpenRouter when checked, 13 Oct 2026$0.10 in$0.15 out262k97.4% up
- TogetherDegraded on OpenRouter when checked, 13 Oct 2026$0.17 in$0.25 out262k95.6% up
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Common questions
What is the difference between Gemini 4 Argon and Qwen3.5 9B?
Gemini 4 Argon is developed by Google AI while Qwen3.5 9B is developed by Qwen. Gemini 4 Argon has a 1.0M token context window vs Qwen3.5 9B's 262K. You can compare their actual outputs across 61 challenges on Rival to see how they differ in practice.
Which is better, Gemini 4 Argon or Qwen3.5 9B?
It depends on your use case. Gemini 4 Argon and Qwen3.5 9B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 61 challenges so you can judge which fits your needs best.
How much does Gemini 4 Argon cost compared to Qwen3.5 9B?
Gemini 4 Argon costs $2/M input tokens and Qwen3.5 9B costs $0.1/M input tokens. Qwen3.5 9B is $1.90/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 Gemini 4 Argon and Qwen3.5 9B on Rival?
This page shows a side-by-side comparison of Gemini 4 Argon 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.
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