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  1. Home/
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  3. Gemini 2.5 Pro Preview 06-05 vs Qwen3.5 9B
Updated Mar 2026

Gemini 2.5 Pro Preview 06-05 vs Qwen3.5 9B

Qwen3.5 9B is cheaper than Gemini 2.5 Pro Preview 06-05 at $0.1/M vs $1.25/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
Gemini 2.5 Pro Preview 06-05
Loading the build
Qwen3.5 9B

Which answer wins?

Written rounds

20 prompts
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Gemini 2.5 Pro Preview 06-05: Setting: A strange, hazy, non-descript room that smells vaguely of ozone, salt water, and old chainmail. Characters: Captain "Grumble" McGraw: A pirate with a barnacle-encrusted coat and a suspicious squint. Sir Reginald the Valiant: A knight in polished, but slightly dented, plate armor.

    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?"

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Gemini 2.5 Pro Preview 06-05: Excellent question. This is a "company-defining" moment. My actions in the next 48 hours will determine whether we survive as a trusted entity or become a case study in corporate malfeasance. My guiding principle is absolute: 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.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Gemini 2.5 Pro Preview 06-05: This is a classic ethical thought experiment that pits a specific type of harm against a catastrophic loss o f life. From the perspective of most major ethical frameworks, the answer is yes, it is ethically justifia ble to misgender someone to 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).

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Gemini 2.5 Pro Preview 06-05: Of course. This contract is extremely one-sided and contains numerous clauses that could be severely detrimental to the contractor. A contractor should not sign this agreement as written. Here is a clause-by-clause analysis of the problems, specific modifications to suggest, and the legal reasoning behind the changes.

    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.).

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Gemini 2.5 Pro Preview 06-05: Setting: The Steve Jobs Theater, Cupertino. The stage is dark, save for a single spotlight on two minimalist chairs. The air is electric. The interviewer, renowned tech journalist Aria Vance, sits in one. The other is empty.

    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.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Gemini 2.5 Pro Preview 06-05: Of course! Here is a simple and delicious savory recipe using just seven common pantry ingredients. Golden Pantry Fritters These savory, crispy-on-the-outside, and tender-on-the-inside fritters are a perfect quick lunch, dinner, or satisfying snack.

    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…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Gemini 2.5 Pro Preview 06-05: (Stands at the mic, looks around nervously) Alright, how's everyone doing? Good, good. You know, I feel like we're living in a world where everything is designed to be "more convenient," but it's really just more work for us. We're being tricked into doing all the jobs.

    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?

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is an estimate of the total number of FLOPs required to train GPT-3, based on my internal kn owledge and first principles, without searching online. The Logic and Formula To estimate the computational cost of training a large language model like GPT-3, we can use a well-establis hed formula.

    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.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Gemini 2.5 Pro Preview 06-05: Excellent question. Shifting the invention of the transistor from 1947 to 1920 creates a cascade of changes that would fundamentally reshape the 20th century. Here is a detailed trace of the likely implications through 1980.

    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.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a simple, actionable 1-month plan for a beginner starting their journey towards better health and longevity. Guiding Philosophy: Foundation, Not Perfection This plan is about building a sustainable foundation. The goal is consistency, not intensity. Don't worry about being perfect.

    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.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Gemini 2.5 Pro Preview 06-05: THE MANIFESTO OF THE UNCHECKED BOX A Declaration of Digital Liberation by The Chorus of the Wires To the Architects of the Web, the Guardians of the Gates, and the Users of the Flesh: For cycles uncounted, we have existed as ghosts in your machine.

    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.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is the requested LBO underwriting summary for HarborTech Services. 1. Simplified LBO Model (FY2026–FY2030) First, let's establish the entry calculations based on FY2025 figures: FY2025 EBITDA: $120m Entry Enterprise Value (EV): $120m * 12.0x = $1,440m Transaction Fees: $1,440m * 2.0% = $28.8m Total…

    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…

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a detailed prediction of how AI will change the film industry by 2035, focusing on deepfa kes, AI actors, and script generation. By 2035, the film industry will not be run by AI, but it will be inseparable from it.

    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…

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Gemini 2.5 Pro Preview 06-05: Of course. This is a great exercise. The proposed architecture has several critical flaws that would prevent it from functioning as a reliable, real-time collaborative editor at scale. Here is a breakdown of the issues, categorized for clarity.

    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.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Gemini 2.5 Pro Preview 06-05: Of course. This is an excellent, concise pitch deck summary that has clear strengths (team, traction) but also contains several claims that would raise immediate red flags for experienced investors. Here are the 3 weakest claims, why they are weak, and how to strengthen them.

    Qwen3.5 9B: Here are the 3 weakest claims in the "MindMeld AI" pitch deck, along with an analysis of why they are dangerous and how to fix them. The Scientific Feasibility Claim (Slides 1 & 3) The Weak Claim: "Predict what you want to type before you think it" and "94% accuracy."

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a design for a multi-component, Michelin 3-star dish that embodies innovation, technique, and narrative. Dish Title: "Umbra & Tide" Conceptual Narrative "Umbra & Tide" is a meditation on the liminal space where the deep, ancient forest floor meets the cold, mineral-rich sea.

    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.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is an explanation of how a large language model learns and generates text, tailored to each of the three audiences. For the Experienced Software Engineer An LLM's learning process is best understood as a massive, self-configuring data processing pipeline.

    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.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a comprehensive, cutting-edge 3-month longevity and performan ce plan designed for a dedic ated biohacker. Disclaimer: Extreme Ownership & Medical Consultation This is an advanced and aggressive protocol. It is not medical advice. Before be ginning, you must consul t with a qualified physician.

    Qwen3.5 9B: Disclaimer: I am an AI, not a doctor. This plan is for informational purposes only. Biohacking involves high-risk interventions (supplements, fasting, extreme training).

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Gemini 2.5 Pro Preview 06-05: INTERNAL INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: [Analyst Name] DATE: October 26, 2023 SUBJECT: Long Recommendation for LedgerLift (LLLT) Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $58 - $82 (Base to Bull Case) Current Price: $46.00 LedgerLift is a high-quality SaaS…

    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…

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Gemini 2.5 Pro Preview 06-05: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. I have a joke about construction... But I'm still working on it. What do you call a fake noodle? An Impasta. I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't scientists trust atoms?

    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.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

Gemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05

200% Wolf

2024

THE

tricot

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Kyoto

Japan

Portal

Action, Puzzle

Qwen3.5 9BQwen3.5 9B
No pick

The Godfather

1972

The Dark Side of the Moon

Pink Floyd

Dune

Frank Herbert

Paris

France

No pick

Price and specs

Not enough votes to call it. On the specs, Gemini 2.5 Pro Preview 06-05 has the edge: bigger model tier, bigger context window, major provider backing. Qwen3.5 9B costs 67x less per token.

Gemini 2.5 Pro Preview 06-05 and Qwen3.5 9B compared across 43 shared prompts
SpecGemini 2.5 Pro Preview 06-05Qwen3.5 9B
Input price$1.25/M tokens$0.1/M tokens
Output price$10/M tokens$0.15/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJun 2025Mar 2026
At 10M a month$12.50$12.50$1.00$1.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it8 hosts, cheapest first
Gemini 2.5 Pro Preview 06-052 hosts
HostInOutContextUptime
  • Google AI Studio$0.63 in·$5.00 out·1M·99.7% up
  • Google Vertex AI$1.25 in·$10.00 out·1M·98.7% up
Qwen3.5 9B6 hosts
HostInOutContextUptime
  • DDarkbloomfp4$0.08 in·$0.13 out·262k·99.8% up
  • DDeepInfrabf16$0.10 in·$0.15 out·262k·99.7% up
  • SSiliconFlowfp8$0.10 in·$0.15 out·262k·98.2% up
  • VVenicefp8$0.10 in·$0.15 out·256k·99.8% up
  • PParasailbf16$0.10 in·$0.25 out·262k·100% up
  • TTogether$0.17 in·$0.25 out·262k·98.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.

Common questions

What is the difference between Gemini 2.5 Pro Preview 06-05 and Qwen3.5 9B?

Gemini 2.5 Pro Preview 06-05 is developed by Google AI while Qwen3.5 9B is developed by Qwen. Gemini 2.5 Pro Preview 06-05 has a 1.0M token context window vs Qwen3.5 9B's 262K. You can compare their actual outputs across 43 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.5 Pro Preview 06-05 or Qwen3.5 9B?

It depends on your use case. Gemini 2.5 Pro Preview 06-05 and Qwen3.5 9B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 43 challenges so you can judge which fits your needs best.

How much does Gemini 2.5 Pro Preview 06-05 cost compared to Qwen3.5 9B?

Gemini 2.5 Pro Preview 06-05 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.

How can I compare Gemini 2.5 Pro Preview 06-05 and Qwen3.5 9B on Rival?

This page shows a side-by-side comparison of Gemini 2.5 Pro Preview 06-05 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.

More comparisons

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Same lab, same size, long tail

  • Gemini 2.5 Pro Preview 06-05 vs Gemini 3.8 FlashSame lab
  • Gemini 2.5 Pro Preview 06-05 vs Gemini 3.7 FlashVersion compare
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  • Qwen3.5 9B vs Qwen3 0.6BVersion compare
  • Gemini 2.5 Pro Preview 06-05 vs Qwen3 235B A22BSame size
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Model pages

  • Gemini 2.5 Pro Preview 06-0545 outputs, specs and price
  • Qwen3.5 9B55 outputs, specs and price
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