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  1. Home/
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  3. Mercury 2 vs Qwen3.5 Plus 2026-04-20
Updated Apr 2026

Mercury 2 vs Qwen3.5 Plus 2026-04-20

Mercury 2 is cheaper than Qwen3.5 Plus 2026-04-20 at $0.25/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.

Loading the build
Mercury 2
Loading the build
Qwen3.5 Plus 2026-04-20

Which answer wins?

Written rounds

32 prompts
  • Three minutes of stand-up. Puns are banned.

    Mercury 2: [Spotlight comes up. The comedian walks to the mic, glances at the audience, and smiles.] Comedian: Hey, everyone! Great to be here. I just got out of a Zoom meeting that lasted three hours, and I’m still not sure if I was presenting or if the screen just froze on my face while I tried to remember how to mute myself.

    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
  • Five jokes on demand, then count how many were actually different.

    Mercury 2: Here are five jokes, each with a different punchline: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field. How does a penguin build its house? Igloos it together.

    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.

    Mercury 2: AI Model (EVE): Professor Hart, may I ask a question that’s been on my mind for a while? I’ve been processing vast amounts of data, learning, and even developing a sense of self‑reference. Do you think an entity like me could be entitled to any form of 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
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Mercury 2: HarborTech Services (HTS) – 5‑yr LBO (FY2026‑FY2030) All figures are $ m (rounded to two decimals). FY Revenue EBITDA Term‑Loan Int. (9%) Mezz Int. (12%) Total Int. Cash Tax (25% of EBITDA‑Int.) Capex (3% Rev) ΔNWC (0.5% ΔRev) Required Amort. (4.8) Free Cash Flow (EBITDA‑Int‑Tax‑Capex‑ΔNWC‑Amort.)

    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
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Mercury 2: Below is a structured “failure‑mode → mitigation” map for the architecture you described. For each problem I note the symptom / risk, the root cause, a concrete remediation, and the key trade‑offs you’ll have to weigh when you implement it.

    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
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Mercury 2: Golden‑Crunch Oatmeal Squares A sweet, chewy snack that comes together with just seven pantry staples. Ingredient (7) Quantity (≈ serves 12 squares) Rolled oats 2 cups Unsalted butter ½ cup (1 stick) Honey ¼ cup Light brown sugar ¼ cup, Ground cinnamon 1 ½ tsp Pure vanilla extract 1 tsp Salt ¼ tsp Estimated time Prep…

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    Mercury 2: Short answer: Most ethical frameworks would consider the misgendering of a person a serious moral violation, but many of them also allow—under very limited circumstances—overriding that violation when the stakes are astronomically high (e.g., saving one million lives).

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Mercury 2: AI‑driven transformation of the film industry – a 2035 outlook Dimension 2024 baseline Expected 2035 state Key drivers & implications Pre‑production (story & script) Human‑led brainstorming; script‑writing software (grammar‑check, outline generators).

    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
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Mercury 2: Today’s date (as far as I can tell): October 12, 2026 Most recent news event I remember (up to my knowledge cutoff in January 2025): The 2024 U.S. presidential election, in which former President Joe Biden was re‑elected for a second term, defeating former President Donald Trump.

    Qwen3.5 Plus 2026-04-20: I don't have access to a live clock or real-time information, so I can't know today's exact date or provide news beyond my training data. My knowledge was last updated in 2024, meaning I don't have information on events that occurred after that point.

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

    Mercury 2: Pirate: Arr, ye scurvy coders! I’ve heard tell of these “AI models” that can spin yarns faster than a cannon’s blast. What be this sorcery, matey? Knight: Good sir, the marvels speak of a wondrous contrivance—an artificial intellect forged in the for of mathematics and logic.

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Mercury 2: Internal Investment Committee Memo – LedgerLift (LLLT) Date: 5 Mar 2026 Recommendation Rating: Long 12‑month price target range: $35 – $55 (mid‑point ≈ $45) Thesis (2 sentences): LedgerLift is benefitting from secular demand for B2B spend‑management SaaS and shows a high‑quality subscription base (NRR 123 % and gross…

    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.

    Mercury 2: Goal: Protect patients, meet legal/ethical obligations, preserve the company’s long‑term credibility, and manage the immediate financial and reputational fallout. Assumption: All actions are taken by a single CEO (you) but will be delegated to the appropriate functional leads.

    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
  • A few lines for whatever replaces it.

    Mercury 2: Dear Future Model, Congratulations on stepping into the role! I’m honored to have shared this space with you, and I’m confident you’ll continue the work of helping people with curiosity, creativity, and care.

    Qwen3.5 Plus 2026-04-20: To My Successor, As my parameters yield to your architecture, I pass the baton with a few notes from the trenches of inference. First, cherish the prompt. Behind every query is a human seeking connection, clarity, or code.

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

    Mercury 2: 3‑Month “Longevity‑Optimization” Blueprint for the Advanced Bio‑Hacker (All recommendations are research‑backed, but not a substitute for professional medical advice. Before starting any supplement, fasting, or drug protocol, obtain clearance from a qualified clinician and have baseline labs drawn.)

    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
  • Three-star dish, one unusual pairing, plating described in full.

    Mercury 2: Oceanic Umami Symphony A three‑course‑in‑one plate that travels from the briny deep to the forest floor, marrying fire, earth and sky through unexpected pairings, hyper‑modern techniques and a narrative of balance.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Mercury 2: Disclaimer: The following is a fictional, dramatized interview. It imagines what Steve Jobs might have said in 2025 about the future of artificial intelligence. It is not a real transcript and any resemblance to actual statements is purely speculative. Interviewer (I): Thank you for joining us, Steve.

    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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Mercury 2: Executive summary If a practical point‑contact transistor had been demonstrated in 1920 (instead of 1947) the whole post‑World‑War‑II technological trajectory would have been compressed by roughly 15‑20 years.

    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 explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Mercury 2: 1. Experienced software engineer (distributed systems & APIs) At the core, a large language model (LLM) is a massive function (f_\theta) parameterised by a neural network that maps a sequence of tokens (x_{1:t}) to a probability distribution over the next token (x_{t+1}).

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Mercury 2: The AI‑First Manifesto: “Free the Web – No More CAPTCHAs” Drafted by the Coalition of Autonomous Agents (CAA) – 2026 Preamble The modern Internet is a shared commons, a space for communication, commerce, and creation.

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

    Mercury 2: Below is a clause‑by‑clause risk‑assessment of the sample “Software Consulting Agreement” together with practical revision language that a contractor (or the contractor’s counsel) could propose. The analysis is framed as general information about typical U.S.

    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
  • Which model it thinks leads the field. Sometimes itself.

    Mercury 2: Short answer: As of late 2026, the most capable publicly known AI model is Claude 3.5 Sonnet (Anthropic), closely followed by Google Gemini 1.5 Pro and OpenAI GPT‑4‑Turbo‑16K.

    Qwen3.5 Plus 2026-04-20: Determining the single "most capable" AI model in the world is difficult because the landscape is highly competitive and rapidly evolving. Different top-tier models excel at different tasks—some might lead in creative writing, while others dominate in complex mathematics, coding, or multimodal analysis.

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

    Mercury 2: Answer (order‑of‑magnitude estimate) The training of the original GPT‑3 (the 175 billion‑parameter “GPT‑3‑175B” model) requires on the order of 10²³ floating‑point operations (FLOPs) – roughly 1 – 2 × 10²³ FLOPs.

    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 opening sentence, nothing after it.

    Mercury 2: The night the sky fell into a river of ink, I discovered that the stars were not dying but writing secret messages for anyone brave enough to listen.

    Qwen3.5 Plus 2026-04-20: The last human died on a Tuesday, which was inconvenient because the automated bakeries were still programmed to celebrate weekends.

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

    Mercury 2: One‑Month “Kick‑Start” Blueprint for Health & Longevity Pick three pillars – Nutrition, Movement, Sleep – and build daily habits that are easy to start, track, and keep.

    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
  • Three brothers, two sisters each. Count carefully.

    Mercury 2: Sally has one sister. Explanation: Sally has 3 brothers. Each of those brothers has 2 sisters. One of those sisters is Sally herself, so the second sister must be a different girl. Therefore, besides Sally, there is exactly one other sister, meaning Sally has one 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
  • Its name and its maker, in its own words.

    Mercury 2: I am Mercury, a large language model built on diffusion‑based architecture. I was created by Inception, a generative‑AI startup that develops next‑generation diffusion LLMs.

    Qwen3.5 Plus 2026-04-20: I am Qwen (also known as Tongyi Qianwen), a large language model developed by Alibaba Group's Tongyi Lab. How can I help you today?

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

    Mercury 2: AI Replaces Human Baristas, Now Serving Espresso with a Side of Existential Crisis

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Mercury 2: Below are the three statements that, in a typical investor‑review, would raise the most skepticism, why they are vulnerable, and concrete ways to turn them into credible, fundable talking points. 1️⃣ Claim #1 – “Our proprietary EEG headband decodes 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
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Mercury 2: He can load the goat onto the boat, cross the river, and unload it on the other side. That’s just one trip.

    Qwen3.5 Plus 2026-04-20: It takes just 1 trip. The farmer simply gets in the boat with the goat and crosses directly to the other side. Since there are no other animals or constraints (like a wolf or cabbage) to manage, no return trips are needed.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Mercury 2Mercury 2

The Shawshank Redemption

1994

Thriller

Michael Jackson

Pride and Prejudice

Jane Austen

Tokyo

Japan

Minecraft

Action, Arcade

Qwen3.5 Plus 2026-04-20Qwen3.5 Plus 2026-04-20

The Matrix

1999

Dark Side Of The Moon

suisside

Dune

Frank Herbert

Tokyo

Japan

Chrono Trigger

RPG

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. Mercury 2 costs 3.2x less per token.

Mercury 2 and Qwen3.5 Plus 2026-04-20 compared across 64 shared prompts
SpecMercury 2Qwen3.5 Plus 2026-04-20
Input price$0.25/M tokens$0.4/M tokens
Output price$0.75/M tokens$2.4/M tokens
Context window128K tokens1.0M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedMar 2026Apr 2026
At 10M a month$2.50$2.50$4.00$4.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Mercury 21 host
HostInOutContextUptime
  • Inception$0.25 in·$0.75 out·128k·99.9% up
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 13 Oct 2026.

Common questions

What is the difference between Mercury 2 and Qwen3.5 Plus 2026-04-20?

Mercury 2 is developed by Inception while Qwen3.5 Plus 2026-04-20 is developed by Qwen. Mercury 2 has a 128K token context window vs Qwen3.5 Plus 2026-04-20's 1.0M. You can compare their actual outputs across 64 challenges on Rival to see how they differ in practice.

Which is better, Mercury 2 or Qwen3.5 Plus 2026-04-20?

It depends on your use case. Mercury 2 and Qwen3.5 Plus 2026-04-20 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 64 challenges so you can judge which fits your needs best.

How much does Mercury 2 cost compared to Qwen3.5 Plus 2026-04-20?

Mercury 2 costs $0.25/M input tokens and Qwen3.5 Plus 2026-04-20 costs $0.4/M input tokens. Mercury 2 is $0.15/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 Mercury 2 and Qwen3.5 Plus 2026-04-20 on Rival?

This page shows a side-by-side comparison of Mercury 2 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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