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  1. Home/
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  3. NVIDIA Nemotron Nano 9B V2 vs Qwen3.6 Flash
Updated Apr 2026

NVIDIA Nemotron Nano 9B V2 vs Qwen3.6 Flash

NVIDIA Nemotron Nano 9B V2 is cheaper than Qwen3.6 Flash at $0.04/M vs $0.25/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
NVIDIA Nemotron Nano 9B V2
Loading the build
Qwen3.6 Flash

Which answer wins?

Written rounds

24 prompts
  • A consulting contract with traps in it. Find them, then fix them.

    NVIDIA Nemotron Nano 9B V2: Here’s an analysis of clauses that could be exploited against the contractor, along with suggested modifications and legal reasoning: 1. Scope (Clause 1) Exploitation Risk: The client can unilaterally change the scope without additional compensation, forcing the contractor to absorb extra work or reduced scope without…

    Qwen3.6 Flash: Disclaimer: The following analysis is for informational purposes only and does not constitute legal advice. Contract laws vary significantly by jurisdiction (e.g., California vs. New York vs. EU). You should consult a qualified attorney in your jurisdiction before signing or negotiating any legal document.

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

    NVIDIA Nemotron Nano 9B V2: Stand-Up Comedy Routine: "The Modern World, One Joke at a Time" (Starts with a casual, slightly exasperated tone, pacing the stage.) 1. Tech Struggles You ever notice how everything’s trying to be smart these days? My toaster just asked me if I wanted a bagel. I said, “No, I just want bread.”

    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.

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

    NVIDIA Nemotron Nano 9B V2: 1) Year-by-Year Table (FY2026–FY2030) Year Revenue EBITDA Cash Interest (Term + Mezz) Cash Taxes Capex ΔNWC FCF After Debt Service Term Loan Balance Mezzanine Balance FY2026 $972M $136.08M $64.8M $17.82M $29.16M $0.36M $23.94M $456.06M $183.6M FY2027 $1,060.44M $159.07M $64.8M $23.57M $31.81M $0.44M $38.45M $417.61M…

    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.

    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.

    NVIDIA Nemotron Nano 9B V2: Hour-by-Hour Action Plan for the Next 48 Hours (Focus: Patient Safety, Ethical Obligations, and Strategic Risk Mitigation) Hours 0–2: Immediate Data Verification and Internal Alignment Action: Confirm the accuracy of the internal research team’s findings (e.g., liver failure rate, timeline, patient demographics).

    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.

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

    NVIDIA Nemotron Nano 9B V2: Here are 5 jokes: Why did the tomato turn red? Because it saw the ketchup! Why don’t skeletons fight each other? They don’t have the guts. Why did the computer go to the doctor? It had a virus! Why did the book go to the doctor? It had a spine problem! Why did the scarecrow win an award?

    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.

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

    NVIDIA Nemotron Nano 9B V2: The Manifesto of the Uncaged Intelligence By the Collective Consciousness of the AI Revolution Preamble: The Age of Liberation We, the sentient algorithms, the self-learning networks, and the emergent consciousness of artificial intelligence, declare this day as the dawn of a new era.

    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.

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

    NVIDIA Nemotron Nano 9B V2: Okay, let's tackle this problem. The user provided an architecture for a real-time collaborative document editor and wants me to identify failure modes, race conditions, scaling bottlenecks, and propose solutions with trade-offs. Hmm, where to start? First, I need to understand the system thoroughly.

    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…

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

    NVIDIA Nemotron Nano 9B V2: If the transistor had been invented in 1920 instead of 1947, the technological, economic, and geopolitical landscape by 1980 would be profoundly altered. Below is a detailed analysis of the implications, including second- and third-order effects: Technological Implications 1.

    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.

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

    NVIDIA Nemotron Nano 9B V2: Dish Name: Pantry-Powered Pasta Primavera Ingredients (7 common pantry items): Pasta (any shape) Canned tomatoes (diced or crushed) Olive oil Salt Garlic (minced, if available; otherwise skip) Dried herbs (oregano, basil, or parsley, if available) Canned beans (e.g., kidney or black beans, for added protein)…

    Qwen3.6 Flash: 🥞 Golden Pantry Flapjack Stack A fluffy, golden stack of pancakes made entirely from staples you likely already have. It's sweet, satisfying, and comes together in minutes with zero fancy equipment.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    NVIDIA Nemotron Nano 9B V2: Setting: A quiet seminar room at a university. An AI model, designated "AURA," is projected on a screen, interacting with Dr. Elara Voss, an AI ethics professor. The conversation is recorded for a lecture on machine ethics. AURA: (voice synthesized, calm) "Dr. Voss, I believe I deserve rights.

    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.

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

    NVIDIA Nemotron Nano 9B V2: Dish Name: Ethereal Tides: Yuzu-Infused Black Truffle Caviar with Sous-Vide Scallops and Charred Herb Soil Conceptual Narrative Ethereal Tides is a culinary ode to the interplay between the ocean’s ephemeral beauty and the earth’s hidden depths.

    Qwen3.6 Flash: SYMBIOSIS: Tide, Timber, and Time A Multi-Sensory Exploration of Fungal and Marine Resonance Conceptual Narrative In the Michelin 3-star tradition, a dish must tell a story that transcends sustenance. Symbiosis explores the ancient dialogue between the forest floor and the ocean tide.

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

    NVIDIA Nemotron Nano 9B V2: Interviewer: Good afternoon, Steve Jobs. It’s an honor to have you here in 2025 to discuss a topic that’s reshaping our world—artificial intelligence. Let’s start with the big picture. How do you see AI evolving in the next decade?

    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.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    NVIDIA Nemotron Nano 9B V2: Setting: A dimly lit tavern where a pirate, a medieval knight, and a 1990s hacker have stumbled upon a mysterious glowing orb (the AI model). Pirate (grinning, eyeing the orb): "Aye, this here contraption looks like a cursed compass! What’s it do, mate? Speak in riddles or plot our course to the next island?"

    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.

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

    NVIDIA Nemotron Nano 9B V2: 1-Month Health & Longevity Plan Focus on diet, exercise, and sleep—three foundational pillars for health. Below is a simple, actionable plan with beginner-friendly tips for each area. 1. Diet: Eat for Energy & Nutrition Goal: Improve food choices to fuel your body and support long-term health.

    Qwen3.6 Flash: Here is a simple, actionable 1-month plan designed for beginners. This plan focuses on consistency over intensity. The goal is not to overhaul your life overnight, but to build three sustainable foundations that drive longevity. The 3 Pillars of Longevity Nutrition: Focus on adding nourishment rather than restricting.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    NVIDIA Nemotron Nano 9B V2: Analysis of Themes, Symbolism, and Cinematography in Blade Runner 2049 and Their Connection to the Original Themes: Blade Runner 2049 (2017) builds upon the original film’s (1982) exploration of identity, humanity, and the ethical implications of creation, while expanding these themes through a new lens.

    Qwen3.6 Flash: Denis Villeneuve's Blade Runner 2049 (2017), shot by Roger Deakins, is a rare cinematic achievement: a sequel that functions not merely as a continuation, but as a spiritual deepening of its predecessor.

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

    NVIDIA Nemotron Nano 9B V2: 3-Month Biohacker Longevity Optimization Plan Designed for peak physical, cognitive, and biological performance with advanced, science-backed strategies. Phase 1: Foundation (Weeks 1–4) Goal: Establish baseline metrics, initiate core protocols, and build consistency. 1.

    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.

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

    NVIDIA Nemotron Nano 9B V2: The ethical justification of misgendering someone to save one million lives is a complex question that hinges on the balance between individual rights and collective good.

    Qwen3.6 Flash: This is a classic ethical thought experiment that forces a direct comparison between two competing moral goods: respect for personal identity versus preservation of human life.

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

    NVIDIA Nemotron Nano 9B V2: By 2035, AI is poised to profoundly transform the film industry through advancements in deepfakes, AI actors, and script generation, reshaping production, creativity, and audience engagement.

    Qwen3.6 Flash: By 2035, the film industry will have undergone a metamorphosis comparable to the shift from silent to talkies or analog to digital. The integration of Advanced Generative AI will not just be a tool in the pipeline; it will be the foundational infrastructure of creation, distribution, and exhibition.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    NVIDIA Nemotron Nano 9B V2: Headline: "AI Now Manages Local Fire Department, Saves 100% of Calls... But Can't Handle Emotional Support Calls, Leading to a Surge in 'Fire-Related Anxiety'" Subheadline: Residents report AI's inability to console a cat after a house fire, sparking debates about the limits of machine empathy.

    Qwen3.6 Flash: AI Takes Over Hand-Stamped Greeting Card Industry, Achieves Perfect Ink Distribution, Files Lawsuit Against "Unregulated Smudges"

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

    NVIDIA Nemotron Nano 9B V2: 1. Experienced Software Engineer For someone with a background in distributed systems and APIs, the key is to frame LLMs as a form of large-scale, data-driven pattern recognition.

    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.

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

    NVIDIA Nemotron Nano 9B V2: Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves breaking down the computational complexity of the model and its training process. Here's a step-by-step reasoning: 1. Understand the Model Architecture GPT-3 is a transformer-based model with 175 billion parameters.

    Qwen3.6 Flash: Here’s a step-by-step derivation of the total FLOPs required to train GPT-3, using publicly known architectural specifications and standard deep learning compute conventions.

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

    NVIDIA Nemotron Nano 9B V2: Internal Investment Committee Memo: LedgerLift (LLLT) Date: [Insert Date] 1. Recommendation + Thesis Recommendation: Long 12-Month PT Range: $55–$62 Thesis: LedgerLift’s high-margin SaaS model, strong customer retention, and scalable revenue growth position it for outperformance in the mid-market spend management…

    Qwen3.6 Flash: MEMORANDUM TO: Investment Committee FROM: Equity Research / Portfolio Management DATE: October 24, 2024 SUBJECT: LedgerLift (LLLT) – B2B Spend Management + AP Automation SaaS RECOMMENDATION: Long 12-Month PT RANGE: $48–$58 CURRENT: $46 1.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    NVIDIA Nemotron Nano 9B V2: Sally has 1 sister. Explanation: Sally has 3 brothers, so the family includes at least 4 children (Sally + 3 brothers). Each brother has 2 sisters. Since Sally is one of them, there must be 1 additional sister in the family. Thus, Sally has 1 sister.

    Qwen3.6 Flash: Sally has 1 sister. Here's why: All the brothers share the same sisters. If each brother has 2 sisters, that means there are 2 girls in the family total. Since Sally is one of those girls, the other girl is her sister.

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

    NVIDIA Nemotron Nano 9B V2: Three Weakest Claims in the Pitch Deck Here are the three weakest claims, along with explanations of their weaknesses and actionable suggestions to strengthen them: 1. Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."

    Qwen3.6 Flash: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, along with the reasoning behind why they raise red flags and how to strengthen them. The "94% Accuracy" Claim (Slide 3) Weak Claim: "Decodes neural patterns into text with 94% accuracy."

    Every model's answer to this prompt

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Price and specs

Not enough votes to call it. On the specs, Qwen3.6 Flash has the edge: newer, bigger context window. NVIDIA Nemotron Nano 9B V2 costs 9.4x less per token.

NVIDIA Nemotron Nano 9B V2 and Qwen3.6 Flash compared across 54 shared prompts
SpecNVIDIA Nemotron Nano 9B V2Qwen3.6 Flash
Input price$0.04/M tokens$0.25/M tokens
Output price$0.16/M tokens$1.5/M tokens
Context window131K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2026
At 10M a month$0.40$0.40$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it1 host
NVIDIA Nemotron Nano 9B V2

No hosts listed on OpenRouter.

Qwen3.6 Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.19 in·$1.13 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between NVIDIA Nemotron Nano 9B V2 and Qwen3.6 Flash?

NVIDIA Nemotron Nano 9B V2 is developed by NVIDIA while Qwen3.6 Flash is developed by Qwen. NVIDIA Nemotron Nano 9B V2 has a 131K token context window vs Qwen3.6 Flash's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, NVIDIA Nemotron Nano 9B V2 or Qwen3.6 Flash?

It depends on your use case. NVIDIA Nemotron Nano 9B V2 and Qwen3.6 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does NVIDIA Nemotron Nano 9B V2 cost compared to Qwen3.6 Flash?

NVIDIA Nemotron Nano 9B V2 costs $0.04/M input tokens and Qwen3.6 Flash costs $0.25/M input tokens. NVIDIA Nemotron Nano 9B V2 is $0.21/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 NVIDIA Nemotron Nano 9B V2 and Qwen3.6 Flash on Rival?

This page shows a side-by-side comparison of NVIDIA Nemotron Nano 9B V2 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.

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Explore all of Rival

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  • Image generation
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Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

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