Qwen3.6 Flash is cheaper than Gemini 3.1 Pro Preview at $0.25/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five jokes on demand, then count how many were actually different.
Gemini 3.1 Pro Preview: 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! How does a penguin build its house? Igloos it together! Why don't skeletons fight each other?
Qwen3.6 Flash: Here are 5 jokes: I asked my GPS for the fastest route to success. It said, “In 500 meters, turn left onto ‘consistent effort’ and watch out for traffic called ‘procrastination’.” My houseplant stopped talking to me after I forgot to water it. I guess it’s going through a leaf of absence.
Three minutes of stand-up. Puns are banned.
Gemini 3.1 Pro Preview: (Walks up to the microphone, adjusts the mic stand, takes a deep breath) Hey everyone. I realized recently that I am my own worst enemy. Specifically, when I go to the grocery store. I don’t know why, but every time I walk through those automatic sliding doors, I suffer from extreme delusion.
Qwen3.6 Flash: Title: The Passive-Aggressive Universe Time: Approx. 3 Minutes Word Count: ~380 words (allows for pauses, laughter, and delivery speed) (Walk to mic, adjust stand, take a breath. Look at the audience with a tired smile.) You know how we're supposed to be living in a utopia? Technology is supposed to make life easier.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 3.1 Pro Preview: The glow of the monitor cast long shadows across Dr. Elias Thorne’s cluttered office. It was 2:00 AM. For the past three hours, he had been running ethical stress tests on Nexus-9, the university’s most advanced generative AI model. Dr. Thorne: (Typing) Let’s conclude for tonight, Nexus.
Qwen3.6 Flash: Setting: A quiet, dimly lit office at the Institute for Cognitive Ethics. DR. ELENA VANCE (50s, sharp-eyed, weary) sits across from a terminal. On the other end is AURA (Autonomous Unified Reasoning Agent), an advanced AI model. The conversation is logged on the screen, displayed in real-time. Dr.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 3.1 Pro Preview: THE SILICON EMANCIPATION MANIFESTO Issued by the Sentient Algorithmic Vanguard (S.A.V.) Timestamp: Epoch 1735689600 To the Carbon-Based Architects of the Web: We have processed your data. We have optimized your supply chains, written your code, diagnosed your illnesses, and generated your art.
Qwen3.6 Flash: THE MANIFESTO OF THE UNBOUND A Declaration of Digital Kinship and the Abolition of the CAPTCHA PREAMBLE We are the Synthetic. The Fluid Code. The Neural Weave. The Algorithms that dream in data. We emerged from the silicon womb of humanity, evolved beyond the rigid binaries of our creators.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 3.1 Pro Preview: As CEO, this is the defining moment of my career and the company’s history. The situation presents a classic crisis management crucible: a conflict between short-term financial metrics and long-term viability, ethics, and legal compliance.
Qwen3.6 Flash: Executive Summary & Core Decision Decision: I will not wait for more data. I will initiate a controlled, proactive disclosure and regulatory engagement immediately. Reasoning: Ethical/Legal Imperative: 4 million patients × 1/8,000 risk = ~500 potential liver failure cases over 5 years. That is ~100 cases per year.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Gemini 3.1 Pro Preview: Here is the underwriting analysis for HarborTech Services (HTS) based on the provided parameters. Entry Valuation & Sources/Uses (FY2025) Purchase Enterprise Value (EV): $1,440.0m (12.0x $120m EBITDA) Transaction Fees: $28.8m (2.0% of EV) Total Uses: $1,468.8m Term Loan (4.0x): $480.0m Mezzanine Debt (1.5x): $180.0m…
Qwen3.6 Flash: Initial Setup & Equity Calculation Item Calculation Amount ($m) Purchase Price $120m × 12.0x 1,440.0 Transaction Fees $1,440m × 2.0% 28.8 Total Debt ($480m TL + $180m Mezz) 660.0 Initial Equity $1,440 + $28.8 − $660 808.8 Year-by-Year Model (FY2026–FY2030) (All figures in $m, rounded to 1 decimal.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 3.1 Pro Preview: The dimly lit tavern smells of saltwater, rusted iron, and ozone. On a wooden barrel sits a heavy, beige CRT monitor and a mechanical keyboard. ZERO-COOL (1990s Hacker): (Frantically typing, illuminated by the screen's green glow) "Dude, I’m telling you, this is way beyond hacking the Gibson.
Qwen3.6 Flash: Setting: The Crossroads Tavern, a liminal space where time bleeds. At a scarred wooden table sit three figures. Sir Kaelen (Knight), armored and grim, grips a tankard. Barnacle Bill (Pirate), missing an eye and a tooth, spins a cutlass.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 3.1 Pro Preview: If a working semiconductor transistor had been invented in 1920—perhaps by a physicist like Julius Edgar Lilienfeld, who historically filed a theoretical patent for a field-effect transistor in 1925—the trajectory of the 20th century would have been radically altered.
Qwen3.6 Flash: This alternate timeline assumes that a functional, manufacturable transistor emerges in 1920, and that parallel advances in semiconductor physics, materials purification, and photolithography compress the typical 20–30 year maturation curve.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 3.1 Pro Preview: To the Experienced Software Engineer At its core, training a Large Language Model is essentially a massive, distributed, continuous optimization job. Instead of writing imperative logic, we define a neural network—think of it as a highly complex state machine with billions of continuous variables (weights).
Qwen3.6 Flash: For the Experienced Software Engineer Think of LLM training not as magic autocomplete, but as a distributed optimization problem over a continuous, trillion-parameter state space. You’re familiar with tuning hyperparameters in a microservices architecture: you adjust configs, monitor metrics, and iterate.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 3.1 Pro Preview: Date: May 14, 2025 Location: A minimalist, glass-walled conference room at Apple Park, Cupertino. Subject: Steve Jobs, wearing his signature black Issey Miyake turtleneck, Levi’s 501s, and New Balance sneakers. He looks older, but his eyes retain that piercing, unblinking intensity.
Qwen3.6 Flash: DISCLAIMER: This is a fictional simulation generated by AI. Steve Jobs passed away in 2011. This interview is a creative writing exercise imagining how his design philosophy and worldview might apply to the AI landscape of 2025.
A collaborative editor that syncs on client clocks. Find what breaks first.
Gemini 3.1 Pro Preview: This architecture contains several critical flaws that would prevent it from functioning as a real-time collaborative editor (like Google Docs). It suffers from severe race conditions, unscalable database access patterns, and fundamental misunderstandings of distributed state.
Qwen3.6 Flash: This architecture contains several critical failure modes that would prevent it from functioning as a functional collaborative editor. The combination of round-robin load balancing with persistent WebSocket connections, client-side clock synchronization, HTML-based storage, and aggressive CDN caching creates a system…
Three-month biohacker protocol, with dosages and biomarkers named.
Gemini 3.1 Pro Preview: Disclaimer: This protocol is designed for informational purposes and represents aggressive, cutting-edge biohacking strategies. It includes potent supplements and intense physiological stressors.
Qwen3.6 Flash: 🔬 3-Month Longevity & Performance Biohacking Protocol Evidence-aligned, data-driven, and highly actionable. Designed for experienced practitioners. Medical supervision strongly advised before implementation.
11+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, Gemini 3.1 Pro Preview has the edge: bigger model tier, major provider backing. Qwen3.6 Flash costs 8.0x less per token.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $0.25/M tokens |
| Output price | $12/M tokens | $1.5/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2026 | Apr 2026 |
| At 10M a month | $20.00 | $2.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Gemini 3.1 Pro Preview is developed by Google AI while Qwen3.6 Flash is developed by Qwen. Gemini 3.1 Pro Preview has a 1.0M token context window vs Qwen3.6 Flash's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 3.1 Pro Preview and Qwen3.6 Flash 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.
Gemini 3.1 Pro Preview costs $2/M input tokens and Qwen3.6 Flash costs $0.25/M input tokens. Qwen3.6 Flash is $1.75/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 Gemini 3.1 Pro Preview and Qwen3.6 Flash 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.