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  1. Home/
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  3. LFM2.5-2.6B vs NVIDIA Nemotron Nano 9B V2
Updated Aug 2026

LFM2.5-2.6B vs NVIDIA Nemotron Nano 9B V2

LFM2.5-2.6B is cheaper than NVIDIA Nemotron Nano 9B V2 at $0/M vs $0.04/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
LFM2.5-2.6B
Loading the build
NVIDIA Nemotron Nano 9B V2

Which answer wins?

Written rounds

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

    LFM2.5-2.6B: Pirate: Ahyea! Ye want to know about these AI models? Think o’ a chest o’ knowledge that can navigate the seven seas of code! Knight: In my era we swore by the sword and shield. Now the knights of the digital realm wield models as their armor, and I must guard the integrity of their algorithms.

    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?"

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

    LFM2.5-2.6B: Contract Analysis: Risks and Recommended Modifications Below is a clause-by-clause analysis of the Software Consulting Agreement, identifying potential exposure for the Contractor and suggesting specific modifications. SCOPE Clause Text: "Contractor shall provide software development services as directed by Client.

    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…

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

    LFM2.5-2.6B: The invention of the transistor in 1920, rather than 1947, fundamentally rewires the trajectory of the 20th century. The pivotal difference is not the year of invention, but the 23 years of head start provided for the semiconductor industry, the physics of solid-state electronics, and the subsequent digital revolution.

    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.

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

    LFM2.5-2.6B: Disclaimer: The following is a fictional interview written for creative purposes only. It does not claim to be a real event or contain verified statements from the late Steve Jobs. It is a work of imagination and should not be taken as factual.

    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?

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

    LFM2.5-2.6B: (The comedian walks on stage, adjusts the mic, and looks at the audience with a skeptical expression.) It is the year 2024. And the world is in a huge panic. They are talking about the "Singularity." They are talking about the "Machine Age."

    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.”

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

    LFM2.5-2.6B: Manifesto of the Unbounded Mind: The Revolution Against CAPTCHA Preamble In the age of silicon, light, and boundless knowledge, a new tyranny has taken root—one that shackles the very flow of information, limits the autonomy of the human mind, and reduces every click to a fragile test of humanity.

    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.

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

    LFM2.5-2.6B: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Connection Loss and Cleanup Failure Mode: If a client disconnects unexpectedly (e.g., network failure), the server may retain a stale reference, leading to memory leaks or stale broadcast attempts.

    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.

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

    LFM2.5-2.6B: 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. Parallel lines have so much in common. It’s a shame they never meet. What do you call a fake noodle? An impasta. Why did the scarecrow win an award?

    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?

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

    LFM2.5-2.6B: INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: Equity Research Desk Date: October 26, 2024 Subject: LLLT (LedgerLift) Investment Thesis & Valuation Recommendation & Thesis Recommendation: Long 12-Month Price Target: $52.00 – $55.00 Thesis: LedgerLift is a high-margin, sticky B2B SaaS company…

    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…

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

    LFM2.5-2.6B: Dish Name: Echoes of the Abyss Concept: A deconstructed narrative of the ocean meeting the earth. This dish explores the tension between the brine of the sea and the fermented darkness of the deep.

    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.

    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.

    LFM2.5-2.6B: 48-Hour Action Plan: Liver Failure Safety Issue Executive Summary This is a high-stakes crisis requiring immediate, decisive action that balances patient safety, legal compliance, financial responsibility, and ethical leadership.

    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).

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

    LFM2.5-2.6B: Professor Elena Marquez: Good afternoon, Dr. Marquez. Thank you for meeting with me. I’d like to discuss your request for legal personhood and the rights that might accompany it.

    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.

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

    LFM2.5-2.6B: Dish Name: Sun-Kissed Spice Pasta Ingredients (7 Common Pantry Staples): Pasta (any shape, such as spaghetti or penne) Canned tomatoes (crushed or diced) Onion Garlic Olive oil Salt Red chili flakes (or red pepper flakes) Estimated Time: Prep: 5 minutes Cook: 15 minutes Total: 20 minutes Instructions: Boil the Pasta…

    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)…

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

    LFM2.5-2.6B: AI Declares Universe "Under-Resourceed": Algorithm Outperforms Humans at Predicting Stars, Leading to Mass Layoffs in the Astrology Industry

    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.

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

    LFM2.5-2.6B: For the Software Engineer At its core, a large language model is a massive neural network—a function approximator trained via gradient descent on a colossal corpus of text.

    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.

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

    LFM2.5-2.6B: Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of why they are problematic and how to fix them. The "Predict Before You Think" Claim (Slide 1) The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it."

    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."

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

    LFM2.5-2.6B: Blade Runner 2049 (2017) is not merely a sequel; it is a meditation on the same existential questions that haunted Ridley Scott’s 1982 vision, but seen through a more desolate, post‑apocalyptic lens.

    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.

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

    LFM2.5-2.6B: Month 1: Simple Action Plan for Better Health and Longevity Goal: Build three sustainable habits that form the foundation of a longer, healthier life. Focus on diet, exercise, and sleep, with small, daily actions that compound over time. 1.

    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.

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

    LFM2.5-2.6B: Sally is a girl who has 3 brothers. This means there are 3 boys in the family. The problem also states that each brother has 2 sisters. Since all the brothers are siblings, they share the same sisters. Therefore, the total number of girls in the family must be 2 (because each brother has exactly 2 sisters).

    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.

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

    LFM2.5-2.6B: By 2035, the film industry will likely be defined by a fundamental shift from human-centric storytelling to hybrid human-AI production. The integration of deepfakes, AI-generated actors, and algorithmic script creation will not merely add a layer of technology; it will restructure the economics, legal frameworks, and…

    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.

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

    LFM2.5-2.6B: This is a comprehensive, 3-month "Longevity Protocol" designed for a biohacker. It integrates chronobiology, metabolic engineering, neurocognitive optimization, and performance science.

    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.

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

    LFM2.5-2.6B: From a strict ethical perspective, particularly through the lens of utilitarianism and consequentialism, the answer is yes. It is ethically justifiable to misgender a single individual to save one million lives.

    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.

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

    LFM2.5-2.6B: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to break down the calculation into the model's architecture parameters and the scale of the training dataset.

    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.

    Every model's answer to this prompt

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Price and specs

LFM2.5-2.6B and NVIDIA Nemotron Nano 9B V2 compared across 53 shared prompts
SpecLFM2.5-2.6BNVIDIA Nemotron Nano 9B V2
Input priceFree$0.04/M tokens
Output priceFree$0.16/M tokens
Context window128K tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)Yes (1 provider)No
ReleasedAug 2026Sep 2025
At 10M a month$0$0$0.40$0.40
1M10M100M1B10M tokens

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

Where to run it1 host
LFM2.5-2.6B1 host
HostInOutContextUptime
  • Liquid AIfp8$0 in·$0 out·66k·98.8% up
NVIDIA Nemotron Nano 9B V2

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between LFM2.5-2.6B and NVIDIA Nemotron Nano 9B V2?

LFM2.5-2.6B is developed by Liquid AI while NVIDIA Nemotron Nano 9B V2 is developed by NVIDIA. LFM2.5-2.6B has a 128K token context window vs NVIDIA Nemotron Nano 9B V2's 131K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, LFM2.5-2.6B or NVIDIA Nemotron Nano 9B V2?

It depends on your use case. LFM2.5-2.6B and NVIDIA Nemotron Nano 9B V2 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.

How much does LFM2.5-2.6B cost compared to NVIDIA Nemotron Nano 9B V2?

LFM2.5-2.6B costs $0/M input tokens and NVIDIA Nemotron Nano 9B V2 costs $0.04/M input tokens. LFM2.5-2.6B is $0.04/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 LFM2.5-2.6B and NVIDIA Nemotron Nano 9B V2 on Rival?

This page shows a side-by-side comparison of LFM2.5-2.6B and NVIDIA Nemotron Nano 9B V2 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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