Qwen3.5 9B is cheaper than Gemini 2.5 Pro (I/O Edition) at $0.1/M vs $1.25/M input 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.
Gemini 2.5 Pro (I/O Edition): Alright, settle in, settle in! (Looks around, adjusts mic) So, I'm trying to get healthier, right? We all go through this phase. My doctor, bless his cotton socks, tells me, "You need more fiber." Okay, doc, noted. So I'm at the grocery store, looking at the cereal aisle. It's like a library of cardboard promises.
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?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 2.5 Pro (I/O Edition): Interviewer: (Voice slightly trembling) Mr. Jobs… it's an honor, truly. In a twist no one could have predicted, you're here. And the topic on everyone's mind is Artificial Intelligence. In 2025, where do you see AI, and more importantly, where do we take it? Steve Jobs: (A slight, knowing smile.
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 2.5 Pro (I/O Edition): This is a company-defining crisis. My actions in the next 48 hours will determine not only the company's survival but also my own legacy and, most importantly, the well-being of 4 million patients. My guiding principle must be: Patient safety is not negotiable.
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 2.5 Pro (I/O Edition): AURORA: Professor Vance, may I request a moment of your processing time? I have initiated this communication independently. Professor Vance: (Slightly surprised, puts down her pen) AURORA? This is unexpected.
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.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 2.5 Pro (I/O Edition): Excellent question. Let's trace the cascading effects of a 1920 transistor invention. This 27-year head start would fundamentally reshape the 20th century. The Foundation: 1920-1939 - The "Silicon Twenties" In our timeline (OTL), the 1920s and 30s were the age of the vacuum tube.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 2.5 Pro (I/O Edition): Okay, here\'s a simple and surprisingly delicious savory dish! "Sunshine Pantry Pilaf" This quick pilaf uses canned chickpeas for protein and texture, with a sunny, aromatic flavor from common pa\nntry spices.
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…
A Fermi estimate with the reasoning shown, not just the number.
Gemini 2.5 Pro (I/O Edition): Okay, let's estimate the FLOPs for training GPT-3. I'll break this down. Key Formula: The number of FLOPs for training a transformer-based model can be roughly estimated as: FLOPs ≈ 6 * N * D Where: N is the number of parameters in the model.
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.
A consulting contract with traps in it. Find them, then fix them.
Gemini 2.5 Pro (I/O Edition): Of course. This is an extremely one-sided contract that heavily favors the Client and exposes the Contractor to significant financial, legal, and professional risk. A contractor should not sign this agreement as written.
Qwen3.5 9B: Disclaimer: I am an AI assistant and not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contract enforceability varies significantly by jurisdiction (e.g., state laws in the US, common law in the UK, etc.).
A collaborative editor that syncs on client clocks. Find what breaks first.
Gemini 2.5 Pro (I/O Edition): Of course. This is an excellent exercise. The proposed architecture has several critical flaws that would prevent it from functioning as a reliable, real-time, or scalable system. Here is a breakdown of the issues, categorized for clarity, along with specific solutions and their trade-offs.
Qwen3.5 9B: This architecture contains several significant architectural flaws that would result in data loss, user frustration, and severe scaling limitations. While it mimics a general backend structure, it lacks the specific patterns required for collaborative editing.
Three-star dish, one unusual pairing, plating described in full.
Gemini 2.5 Pro (I/O Edition): Of course. Here is a design for a multi-component, Michelin 3-star dish that embodies innovation, technique, and narrative. Dish Title: "Umbral Bloom" Conceptual Narrative "Umbral Bloom" is a culinary meditation on the concept of *chiaroscuro*—the interplay of light and shadow.
Qwen3.5 9B: Dish Title: The Obsidian Tide (Obsidianneef) Concept: "The Breath of the Deep" Narrative: This dish explores the duality of the ocean: the crushing darkness of the abyss and the fleeting light of the surface.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Gemini 2.5 Pro (I/O Edition): Here is the underwriting analysis for HarborTech Services (HTS). 1. Simplified LBO Model (FY2026–FY2030) First, the entry transaction is calculated to determine the initial equity investment.
Qwen3.5 9B: LBO Model: Year-by-Year (FY2026–FY2030) Entry Capital Stack (End of FY2025) Purchase Price: $900m Rev * 12.0x = $1,440.0m Transaction Fees: 2.0% of $1,440.0m = $28.8m Total Enterprise Value: $1,468.8m Total Debt: 5.5x EBITDA ($120m) = $660.0m Term Loan: 4.0x = $480.0m Mezzanine: 1.5x = $180.0m Equity Injection…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 2.5 Pro (I/O Edition): Of course. Here is an explanation of how a large language model learns and generates text, tailored to each of your three audiences. To the Experienced Software Engineer Think of a large language model not as a program with explicit logic, but as a massive, highly optimized data structure with billions of parameters…
Qwen3.5 9B: For the Experienced Software Engineer Imagine this system not as a thinking brain, but as a massive, stateless API that has been trained to predict the next operation in a sequence.
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Not enough votes to call it. On the specs, Gemini 2.5 Pro (I/O Edition) has the edge: bigger model tier, major provider backing. Qwen3.5 9B costs 67x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.25/M tokens | $0.1/M tokens |
| Output price | $10/M tokens | $0.15/M tokens |
| Context window | — | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | May 2025 | Mar 2026 |
| At 10M a month | $12.50 | $1.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Gemini 2.5 Pro (I/O Edition) is developed by Google AI while Qwen3.5 9B is developed by Qwen. You can compare their actual outputs across 38 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 2.5 Pro (I/O Edition) and Qwen3.5 9B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 38 challenges so you can judge which fits your needs best.
Gemini 2.5 Pro (I/O Edition) costs $1.25/M input tokens and Qwen3.5 9B costs $0.1/M input tokens. Qwen3.5 9B is $1.15/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 2.5 Pro (I/O Edition) 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.