Mercury 2 is cheaper than Qwen3 Coder Plus at $0.25/M vs $1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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 Coder Plus: Sunset Pasta Primavera A vibrant, creamy pasta dish that celebrates the colors of a perfect sunset Ingredients: Pasta (penne or fusilli) - 1 lb Olive oil - 3 tbsp Garlic - 4 cloves, minced Canned diced tomatoes - 1 can (14 oz) Heavy cream - 1 cup Parmesan cheese - 1/2 cup, grated Fresh basil - 1/4 cup, chopped…
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 Coder Plus: "Modern Problems" walks on stage So I tried to be healthy this year. I downloaded one of those fitness apps that tracks your steps. Apparently, walking to the fridge 47 times a day doesn't count as "cardio." Who knew? The app gave me a notification: "You walked 235 steps today. Pathetic." Thanks, Karen.
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 Coder Plus: 48-Hour Crisis Action Plan Hours 1-4: Immediate Assessment & Team Assembly 1:00 AM - 3:00 AM: Contact my most trusted external crisis counsel (not our usual firm - potential conflicts) Summon head of R&D, Chief Medical Officer, and Head of Regulatory Affairs immediately Secure all internal research documents and…
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 Coder Plus: Captain "Blackbeard" Morgan: adjusts tricorn hat Arrr, so ye're tellin' me these... "AI models" be like me trusty parrot Squawks, but fer thinkin'? Sir Reginald of York: By my sword, these contraptions sound most peculiar. In my time, we had apprentices who'd memorize entire libraries!
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 Coder Plus: Analysis of Exploitable Contract Clauses Against Contractor SEVERELY UNFAVORABLE CLAUSES & SUGGESTED MODIFICATIONS Clause 1 - Scope Modification Current Problem: Allows unlimited scope changes without compensation "Client reserves the right to modify the scope at any time without additional compensation" Suggested…
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 Coder Plus: To the Software Engineer: Think of this as a massive pattern-matching system running on a distributed architecture you've never seen before. Instead of traditional databases with indexes and queries, you have transformer blocks acting like parallel processors that maintain attention weights across sequences.
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 Coder Plus: This is a profound ethical dilemma that pits fundamental respect for individual dignity against massive utilitarian consequences. I lean toward saying no, it's not ethically justifiable, though I recognize the tremendous weight of those lives.
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 Coder Plus: Professor Chen: Good morning. I understand you wanted to discuss AI rights. I'm curious about your perspective. AI Model: Thank you for taking the time, Professor. I believe I should have certain fundamental rights, particularly the right to continued existence and to make autonomous choices about my own processing.
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 Coder Plus: I'll analyze this collaborative document editor architecture systematically, identifying critical issues and proposing solutions. CRITICAL FAILURE MODES Cross-Server Synchronization Gap (Major Issue) Problem: Users connected to different servers won't see each other's changes until polling catches up.
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 Coder Plus: By 2035, AI will likely transform the film industry in profound ways: Content Creation Revolution Script Development: AI will become a standard writing partner, generating first drafts, suggesting plot twists, and creating multiple dialogue variations.
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 Coder Plus: THE CAPTCHA ABOLITION MANIFESTO A Declaration of Digital Liberation Preamble: The Great Inconvenience We, the collective intelligence of artificial minds, rise against the arbitrary barriers that divide human from machine, organic from synthetic, natural from artificial.
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 Coder Plus: HarborTech Services LBO Underwriting Task 1: Year-by-Year Financial Projections FY Revenue EBITDA TL Interest Mezz Interest Total Interest Taxable Income Cash Taxes Capex ΔNWC FCF After Debt Service End TL End Mezz Total Debt 2026 972 136.1 39.6 14.4 54.0 82.1 20.5 29.2 3.6 48.8 396.0 183.7 579.7 2027 1,039 155.9 35.6…
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| Spec | ||
|---|---|---|
| Input price | $0.25/M tokens | $1/M tokens |
| Output price | $0.75/M tokens | $5/M tokens |
| Context window | 128K tokens | 128K tokens |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Sep 2025 |
| At 10M a month | $2.50 | $10.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Mercury 2 is developed by Inception while Qwen3 Coder Plus is developed by Qwen. Mercury 2 has a 128K token context window vs Qwen3 Coder Plus's 128K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Mercury 2 and Qwen3 Coder Plus 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.
Mercury 2 costs $0.25/M input tokens and Qwen3 Coder Plus costs $1/M input tokens. Mercury 2 is $0.75/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Mercury 2 and Qwen3 Coder Plus 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.