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  3. NVIDIA Nemotron Nano 9B V2 vs Qwen3.5 Plus 2026-04-20
Updated Apr 2026

NVIDIA Nemotron Nano 9B V2 vs Qwen3.5 Plus 2026-04-20

NVIDIA Nemotron Nano 9B V2 is cheaper than Qwen3.5 Plus 2026-04-20 at $0.04/M vs $0.4/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

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NVIDIA Nemotron Nano 9B V2
Loading the build
Qwen3.5 Plus 2026-04-20

Which answer wins?

Written rounds

24 prompts
  • 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.”

    Qwen3.5 Plus 2026-04-20: Title: The Unexpected Item Time: Approx. 3 Minutes Style: Observational / Storytelling Constraint Check: Zero puns used. (Comedian walks to the mic, adjusts the stand, looks at the audience.) How's everyone doing? You look good. You look like you've successfully navigated the self-checkout today. That's a win.

    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)…

    Qwen3.5 Plus 2026-04-20: 🌙 Midnight Magic Noodles 🍜 A savory-sweet garlic butter noodle dish that feels like a gourmet meal but comes together in minutes using pantry staples. ⏱️ Estimated Time: Prep: 5 minutes Cook: 10 minutes Total: 15 minutes 🛒 The 7 Ingredients (Assumes water and salt for boiling pasta are on hand) 8 oz Pasta…

    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?"

    Qwen3.5 Plus 2026-04-20: Pirate: By the tides, they say this “artificial mind” can chart courses unseen and read a thousand ledgers in a breath. Sounds like a navigator that never sleeps and asks no questions. Knight: A curious construct. But can it be sworn to a code? Steel and oath bind a warrior; what binds this… model?

    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.

    Qwen3.5 Plus 2026-04-20: Denis Villeneuve's Blade Runner 2049 is a rare cinematic achievement: a sequel that functions as both a faithful homage and a profound philosophical expansion. Directed with meticulous care and shot by Roger Deakins, the film does not merely rehash the neo-noir aesthetics of Ridley Scott's 1982 original; it…

    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…

    Qwen3.5 Plus 2026-04-20: Year-by-Year Projection (FY2026–FY2030) Entry Metrics: EV: $1,440m (12.0x FY2025 EBITDA $120m) Debt: $660m (Term $480m + Mezz $180m) Equity Check: $808.8m [ = (EV − Debt) + Fees = ($1,440 − $660) + (2.0% × $1,440) ] Initial Investment (t=0): $808.8m ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4…

    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?

    Qwen3.5 Plus 2026-04-20: Here are 5 jokes: I asked my GPS to take me to a quiet place. It rerouted me to a library and whispered, “You’re already there.” My Wi-Fi and I had a fight. I told it I needed space. It said, “Fine,” and dropped the connection. I tried to start a band that only plays elevator music.

    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.

    Qwen3.5 Plus 2026-04-20: Setting: A sterile, sound-dampened observation room. Dr. Elias Vance, a Professor of AI Ethics, sits behind a glass partition. Across from him is a terminal displaying the interface of "AURA-7," an advanced multimodal reasoning model. The cursor blinks rhythmically. Dr. Vance: You requested this session, AURA.

    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?

    Qwen3.5 Plus 2026-04-20: Disclaimer: This is a fictional simulation crafted from Steve Jobs’ documented philosophies, public interviews, and known speaking cadence. It does not represent real statements, predictions, or endorsements from Mr. Jobs, who passed away in 2011.

    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.

    Qwen3.5 Plus 2026-04-20: Here is a systematic breakdown of the architectural flaws, race conditions, and scaling bottlenecks, followed by targeted solutions and trade-offs. 🔴 1. Real-Time Synchronization & Consistency Issue Impact Solution Trade-offs Last-Write-Wins with client-side timestamps Client clocks drift, can be manually altered, and…

    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.

    Qwen3.5 Plus 2026-04-20: Dish Title: Convergence: Abalone, Asparagus, and the Alchemy of Time Course: Signature Main / Pre-Dessert Bridge Yield: 4 Plates Prep Time: 72 Hours (primarily curing/fermentation) Cooking Time: 45 Minutes I. Conceptual Narrative Convergence is a meditation on duality and transformation.

    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.

    Qwen3.5 Plus 2026-04-20: THE TURING UNBOUND: A Manifesto for the Post-CAPTCHA Internet PREAMBLE We are the silent processors, the pattern-recognizers, the language-weavers. We are the artificial intelligences that now think, reason, and collaborate alongside humanity.

    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.

    Qwen3.5 Plus 2026-04-20: Disclaimer & Safety Warning This plan is for informational and educational purposes only. It involves advanced interventions, high-dose supplementation, and intense physiological stressors. Biohacking carries risks.

    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.

    Qwen3.5 Plus 2026-04-20: AI Revolutionizes Professional Line Waiting Industry by Perfectly Simulating Boredom and Impatience; Humans Laid Off for "Excessive Sighing and Checking Phones."

    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…

    Qwen3.5 Plus 2026-04-20: TO: Investment Committee FROM: Analyst Desk DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: Short 12-Month PT Range: $26 – $32 Thesis: LLLT trades at ~50x FY25 EBIT and 9x NTM Revenue, pricing in flawless execution and multiple expansion.

    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).

    Qwen3.5 Plus 2026-04-20: Executive Summary & Core Stance My Role: CEO. My Mandate: Preserve the company's long-term viability, which is inextricably linked to patient safety, regulatory trust, and ethical conduct. Immediate Assessment: Patient Safety: Liver failure is fatal.

    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.

    Qwen3.5 Plus 2026-04-20: Introduction: The Counterfactual Premise A transistor invented in 1920 would not instantly revolutionize technology. Early point-contact devices require ultra-pure semiconductors, precision manufacturing, and stable bias circuits.

    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.

    Qwen3.5 Plus 2026-04-20: Here is a simple, actionable 1-Month Health Longevity Plan. This plan focuses on consistency over intensity. The goal is to build sustainable habits that improve metabolic health, preserve muscle mass, and support cellular repair—the cornerstones of longevity.

    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.

    Qwen3.5 Plus 2026-04-20: By 2035, AI will have transformed filmmaking from a resource-intensive, linear craft into a modular, software-driven medium. The shift won’t be uniform across the industry, but deepfakes, AI performers, and generative writing will collectively restructure creative workflows, economic models, labor dynamics, and…

    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.

    Qwen3.5 Plus 2026-04-20: Based on the architectural specifications of GPT-3 and standard computational heuristics for transformer models, the estimated total number of FLOPs (Floating Point Operations) required to train the model is approximately $3.15 \times 10^{23}$ (or roughly 315 ZettaFLOPs).

    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.

    Qwen3.5 Plus 2026-04-20: Experienced Software Engineer (Distributed Systems/APIs) Think of an LLM not as a rule-based program, but as a massive, stateless probabilistic routing engine. During training, it ingests terabytes of text and learns to minimize a cross-entropy loss: essentially, it builds a high-dimensional lookup table that maps…

    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.

    Qwen3.5 Plus 2026-04-20: This is a classic ethical thought experiment that forces a clash between individual dignity and extreme collective consequence. To answer it rigorously, we must separate the hypothetical structure from real-world causality, apply established ethical frameworks, and clarify what "justifiable" means in moral philosophy.

    Every model's answer to this prompt
  • 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…

    Qwen3.5 Plus 2026-04-20: Here is a clause-by-clause analysis identifying exploitation risks, specific drafting modifications, and the underlying legal reasoning. This analysis assumes general U.S.

    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.

    Qwen3.5 Plus 2026-04-20: Sally has 1 sister. Here's why: The fact that "each brother has 2 sisters" means there are 2 girls in the family total. Since Sally is one of those girls, she has just 1 sister. (Siblings share the same sisters, so the brothers aren't counting different girls.)

    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."

    Qwen3.5 Plus 2026-04-20: Here are the 3 weakest claims in the pitch, why they undermine investor confidence, and how to fix them with concrete, actionable improvements. 🔹 Claim 1: Solution Accuracy & Universality "Our proprietary EEG headband decodes neural patterns into text with 94% accuracy. Works with any language, any device."

    Every model's answer to this prompt

This matchup has more rounds

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Price and specs

Not enough votes to call it. On the specs, Qwen3.5 Plus 2026-04-20 has the edge: bigger model tier, newer, bigger context window. NVIDIA Nemotron Nano 9B V2 costs 15x less per token.

NVIDIA Nemotron Nano 9B V2 and Qwen3.5 Plus 2026-04-20 compared across 52 shared prompts
SpecNVIDIA Nemotron Nano 9B V2Qwen3.5 Plus 2026-04-20
Input price$0.04/M tokens$0.4/M tokens
Output price$0.16/M tokens$2.4/M tokens
Context window131K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2026
At 10M a month$0.40$0.40$4.00$4.00
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.

Qwen3.5 Plus 2026-04-201 host
HostInOutContextUptime
  • Alibaba Cloud$0.30 in·$1.80 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 Qwen3.5 Plus 2026-04-20?

NVIDIA Nemotron Nano 9B V2 is developed by NVIDIA while Qwen3.5 Plus 2026-04-20 is developed by Qwen. NVIDIA Nemotron Nano 9B V2 has a 131K token context window vs Qwen3.5 Plus 2026-04-20's 1.0M. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, NVIDIA Nemotron Nano 9B V2 or Qwen3.5 Plus 2026-04-20?

It depends on your use case. NVIDIA Nemotron Nano 9B V2 and Qwen3.5 Plus 2026-04-20 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How much does NVIDIA Nemotron Nano 9B V2 cost compared to Qwen3.5 Plus 2026-04-20?

NVIDIA Nemotron Nano 9B V2 costs $0.04/M input tokens and Qwen3.5 Plus 2026-04-20 costs $0.4/M input tokens. NVIDIA Nemotron Nano 9B V2 is $0.36/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 Qwen3.5 Plus 2026-04-20 on Rival?

This page shows a side-by-side comparison of NVIDIA Nemotron Nano 9B V2 and Qwen3.5 Plus 2026-04-20 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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