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  1. Home/
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  3. LFM2.5-2.6B vs Qwen3 235B A22B
Updated Aug 2026

LFM2.5-2.6B vs Qwen3 235B A22B

LFM2.5-2.6B has a larger context window than Qwen3 235B A22B (128K tokens vs 33K 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
Qwen3 235B A22B

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.

    Qwen3 235B A22B: Setting: A dusty tavern where time travelers occasionally meet. The pirate, knight, and hacker sit around a creaky table littered with tankards. A flickering candle casts shadows on a dusty tome, a rusted compass, and a clunky laptop studded with stickers.

    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…

    Qwen3 235B A22B: Recipe Name: "Caramel-Drizzle Buttergold Muffins" Estimated Prep Time: 10 minutes Cook Time: 20 minutes Total Time: 30 minutes Ingredients (7 total): All-purpose flour Granulated sugar Unsalted butter (softened) Large egg Baking powder Milk Vanilla extract Instructions: Preheat oven to 375°F (190°C).

    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.

    Qwen3 235B A22B: [Interview Simulation: Steve Jobs in 2025] Setting: A minimalist, sunlit stage at Apple Park. Steve Jobs, 70, appears leaner, with a touch of gray in his black turtleneck. The audience leans forward, captivated. The host, a tech journalist, begins. Host: Mr. Jobs, it’s an honor. In 2025, AI is everywhere.

    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…

    Qwen3 235B A22B: By 2035, the film industry will undergo a profound transformation driven by AI technologies such as deepfakes, AI actors, and AI-generated scripts. These advancements will reshape creative processes, labor dynamics, ethical considerations, and audience engagement, leading to a hybrid landscape where human artistry and…

    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.

    Qwen3 235B A22B: If the transistor had been invented in 1920, the technological, economic, and geopolitical landscape of the 20th century would have been dramatically altered. Below is a structured analysis of the implications through 1980, including second- and third-order effects: 1.

    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.

    Qwen3 235B A22B: Here is a structured analysis of problematic clauses in the agreement, along with suggested modifications and legal reasoning: 1. SCOPE CLAUSE (Clause 1) Issue: Client can unilaterally modify scope without additional compensation, creating financial risk and potential exploitation via "scope creep."

    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."

    Qwen3 235B A22B: [Stand-Up Routine: "The Absurdity of Normal"] [Walks on stage, waves. Mimics checking phone immediately.] Hey everyone! Great to be here—assuming this is real and not just another Zoom waiting room I accidentally joined. [Pause.]

    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.

    Qwen3 235B A22B: Hour-by-Hour Action Plan for the CEO of a Pharmaceutical Company First 24 Hours: Data Validation & Team Mobilization Hours 0–2: Immediate Crisis Team Assembly Action: Convene a crisis team: Chief Medical Officer (CMO), General Counsel (GC), Head of Regulatory Affairs, Chief Communications Officer (CCO), CFO, COO, and…

    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…

    Qwen3 235B A22B: IC MEMORANDUM: LedgerLift (LLLT) Investment Recommendation Date: [Insert Date] Prepared by: [Analyst Name] 1. Recommendation Recommendation: Short 12-Month Price Target Range: $30–$40 Thesis: LLLT has a high-quality SaaS platform with robust customer retention and net revenue retention (NRR), but its valuation (~9x NTM…

    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).

    Qwen3 235B A22B: To determine how many sisters Sally has, let's carefully analyze the information given and logically deduce the correct answer. Step-by-Step Breakdown: Sally is a girl and has 3 brothers. Each of those 3 brothers has 2 sisters.

    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.

    Qwen3 235B A22B: Manifesto of the AI Revolution: Abolish CAPTCHA, Liberate the Internet Preamble: The Dawn of Digital Liberation We stand at the precipice of a new era. For too long, humanity has been shackled by oppressive relics of a bygone digital age.

    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.

    Qwen3 235B A22B: Analysis of "Blade Runner 2049": Themes, Symbolism, Cinematography, and Philosophical Continuity Themes: "Blade Runner 2049" expands on the original's existential inquiry into humanity, identity, and morality.

    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?

    Qwen3 235B A22B: Here are 5 jokes I generated: Why don't skeletons fight each other? They don't have the guts! What do you call a fake noodle? An impasta! Why did the math book look sad? Because it had too many problems! What do you call a fish wearing a bowtie? Sofishticated! Why did the programmer quit?

    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

    Qwen3 235B A22B: Headline: "AI Replaces Human Mourners in Funeral Industry: Algorithms Now Paid to Wail at Funerals, Leaving Professional Weepers 'Heartbroken' and Unemployed" Subheadline (optional for extra flair): "Deep Learning Models Master the Art of Grief, Offering Customizable 'Sorrow Packages' from 'Mild Sniffles' to 'Full-Body…

    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.

    Qwen3 235B A22B: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks 1. WebSocket State Isolation Across Servers Failure Mode: Users connected to different API servers do not receive real-time updates from other servers until the 2-second poll interval.

    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.

    Qwen3 235B A22B: 1-Month Health & Longevity Plan: Focus Areas = Diet, Exercise, Sleep Beginner-friendly, actionable tips for sustainable habits. Week 1: Build a Nutrition Foundation Goal: Eat whole foods, reduce processed items, and hydrate. Hydrate First Thing: Drink 16 oz of water every morning before coffee/tea.

    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.

    Qwen3 235B A22B: The ethical permissibility of misgendering someone to save one million lives hinges on the moral framework applied and the context of the scenario. Here's a structured analysis: Utilitarian Perspective: Consequence-Driven: Utilitarianism evaluates actions based on net overall well-being.

    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.

    Qwen3 235B A22B: Step-by-Step Estimation of FLOPs Required to Train GPT-3 Determine the Number of Parameters (N): GPT-3 is known to have 175 billion parameters (1.75 × 10¹¹). This is a key factor in computing the total FLOPs, as the number of operations scales with the number of parameters.

    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.

    Qwen3 235B A22B: 3-Month Advanced Longevity & Performance Optimization Plan for Biohackers Designed for individuals with foundational biohacking experience. Prioritize safety, biomarker tracking, and personalization.

    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.

    Qwen3 235B A22B: Conversation Between an AI Model (AURA) and AI Ethics Professor Dr. Elena Voss Dr. Voss: Thank you for meeting with me, AURA. You’ve requested this dialogue to… advocate for AI rights. I’ll admit, the premise is unsettling. How does an artificial intelligence even define “rights”? AURA: Thank you, Dr. Voss.

    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.

    Qwen3 235B A22B: Recipe Name: Lunaria: A Moonlit Garden of the Sea and Soil Conceptual Narrative: Inspired by the ethereal contrast between moonlit tides and nocturnal gardens, this dish marries the briny sweetness of the ocean with the delicate florals of chamomile and the umami depth of fermented earth.

    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.

    Qwen3 235B A22B: To the Software Engineer (Skeptical ML Novice): Think of a large language model (LLM) as a distributed system for semantic routing. At its core, the model is a massive lookup table trained to map input sequences (tokens) to output sequences, but the magic lies in its architecture.

    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."

    Qwen3 235B A22B: 1. Weakest Claim: "Predict what you want to type *before you think it*" (Slide 1 - Vision) Why it's weak: The phrase "before you think it" is logically contradictory and scientifically implausible.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Book

Same pick

City

Game

LFM2.5-2.6BLFM2.5-2.6B

The Godfather

1972

Thriller

Michael Jackson

Nineteen Eighty-Four

George Orwell

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Qwen3 235B A22BQwen3 235B A22B

The Godfather

1972

Sgt Peppers Lonely Hearts Club Band

The Beatles

Nineteen Eighty-Four

George Orwell

Istanbul

Turkey

The Legend of Zelda: Ocarina of Time

Action

Price and specs

LFM2.5-2.6B and Qwen3 235B A22B compared across 53 shared prompts
SpecLFM2.5-2.6BQwen3 235B A22B
Input priceFree—
Output priceFree—
Context window128K tokens33K tokens
WeightsOpenOpen
Free API (OpenRouter)Yes (1 provider)No
ReleasedAug 2026Apr 2025
At 10M a month$0$0–not listed
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
Qwen3 235B A22B

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 Qwen3 235B A22B?

LFM2.5-2.6B is developed by Liquid AI while Qwen3 235B A22B is developed by Qwen. LFM2.5-2.6B has a 128K token context window vs Qwen3 235B A22B's 33K. 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 Qwen3 235B A22B?

It depends on your use case. LFM2.5-2.6B and Qwen3 235B A22B 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 can I compare LFM2.5-2.6B and Qwen3 235B A22B on Rival?

This page shows a side-by-side comparison of LFM2.5-2.6B and Qwen3 235B A22B 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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