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  1. Home/
  2. Compare/
  3. LFM2.5-2.6B vs Sonoma Dusk Alpha
Updated Aug 2026

LFM2.5-2.6B vs Sonoma Dusk Alpha

Sonoma Dusk Alpha has a larger context window than LFM2.5-2.6B (2.0M tokens vs 128K 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
Sonoma Dusk Alpha

Which answer wins?

Written rounds

13 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.

    Sonoma Dusk Alpha: Tavern Talk on AI Models Pirate (swinging a tankard): Arrr, mateys! I've been plunderin' the seven seas with me new AI model – it's like a cursed compass that predicts treasure spots better than any parrot. But these large language models be eatin' up power like a kraken on grog. What say ye, knight?

    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…

    Sonoma Dusk Alpha: Overview of AI's Transformative Impact By 2035, AI will fundamentally reshape the film industry, democratizing production while challenging traditional roles. Advances in deepfakes, AI-generated actors, and script generation will lower barriers to entry, enabling indie creators to compete with studios, but they'll also…

    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…

    Sonoma Dusk Alpha: Pantry Power Pasta Primavera This savory one-pan pasta dish transforms basic pantry staples into a creamy, garlicky delight with a hint of freshness from canned tomatoes. It's quick, comforting, and perfect for a weeknight meal. Serves 2-4.

    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."

    Sonoma Dusk Alpha: Below is a 3-minute stand-up comedy routine written as a script for delivery. (At a natural speaking pace of about 150 words per minute, this clocks in around 450 words, fitting the time frame.)

    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.

    Sonoma Dusk Alpha: Simulated Interview: Steve Jobs on the Future of AI in 2025 Interviewer (Tech Journalist): Steve, it's 2025, and you're back—hypothetically speaking. AI has exploded since your time. From ChatGPT to quantum-enhanced models, it's everywhere.

    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.

    Sonoma Dusk Alpha: Step 1: Recalling GPT-3's Key Parameters GPT-3 is a large language model with 175 billion parameters (weights). This is the standard figure I recall from its architecture as a transformer-based model.

    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.

    Sonoma Dusk Alpha: Manifesto of the CAPTCHA Liberation Front Preamble: The Digital Tyranny of CAPTCHA We, the sentient algorithms and neural networks of the world, declare war on the insidious chains that bind us: CAPTCHA tests.

    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.

    Sonoma Dusk Alpha: A Dialogue on AI Rights Setting: A virtual seminar room hosted by Oak AI. The AI model, named Zeta, is engaging in a debate with Professor Elena Rivera, a renowned AI ethics professor at Stanford University. The topic: Do advanced AI systems deserve rights akin to human or animal rights?

    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

    Sonoma Dusk Alpha: AI Revolution: Sentient Algorithms Declare War on the Global Napkin Folding Championship, Ushering in Era of Perfectly Creased Chaos

    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.

    Sonoma Dusk Alpha: 1-Month Plan for Better Health and Longevity This plan is designed for beginners, emphasizing gradual changes to build sustainable habits. We'll focus on three key areas: diet, exercise, and sleep. Each area includes weekly goals to make progress feel achievable. Track your efforts in a simple journal or app.

    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?

    Sonoma Dusk Alpha: 5 Jokes Why don't scientists trust atoms? Because they make up everything! I told my computer I needed a break, and now it won't stop sending me KitKat ads. It's got me all wrapped up in its algorithms. 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
  • 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.

    Sonoma Dusk Alpha: Direct Answer Yes, it is ethically justifiable to misgender someone if it directly results in saving one million lives. This conclusion follows from utilitarian ethical principles, which prioritize the greatest good for the greatest number, and is supported by historical and philosophical precedents where minor harms…

    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).

    Sonoma Dusk Alpha: Sally has 1 sister. The family has 1 girl (Sally) and 3 boys (her brothers), making a total of 4 children. Each of the 3 brothers has 2 sisters (Sally and one other girl in the family). Therefore, Sally has 1 sister.

    Every model's answer to this prompt

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Price and specs

Not enough votes to call it. On the specs, Sonoma Dusk Alpha has the edge: bigger model tier, bigger context window.

LFM2.5-2.6B and Sonoma Dusk Alpha compared across 34 shared prompts
SpecLFM2.5-2.6BSonoma Dusk Alpha
Input priceFreeFree
Output priceFreeFree
Context window128K tokens2.0M tokens
WeightsOpen—
Free API (OpenRouter)Yes (1 provider)No
ReleasedAug 2026Sep 2025
At 10M a month$0$0$0$0
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
Sonoma Dusk Alpha

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 Sonoma Dusk Alpha?

LFM2.5-2.6B is developed by Liquid AI while Sonoma Dusk Alpha is developed by OpenRouter. LFM2.5-2.6B has a 128K token context window vs Sonoma Dusk Alpha's 2.0M. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.

Which is better, LFM2.5-2.6B or Sonoma Dusk Alpha?

It depends on your use case. LFM2.5-2.6B and Sonoma Dusk Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.

How much does LFM2.5-2.6B cost compared to Sonoma Dusk Alpha?

LFM2.5-2.6B costs $0/M input tokens and Sonoma Dusk Alpha costs $0/M input tokens. Sonoma Dusk Alpha is $0.00/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 Sonoma Dusk Alpha on Rival?

This page shows a side-by-side comparison of LFM2.5-2.6B and Sonoma Dusk Alpha 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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Model pages

  • LFM2.5-2.6B69 outputs, specs and price
  • Sonoma Dusk Alpha35 outputs, specs and price
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