Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. Mercury 2 vs Qwen3 30B A3B Instruct 2507
Updated Mar 2026

Mercury 2 vs Qwen3 30B A3B Instruct 2507

Qwen3 30B A3B Instruct 2507 is cheaper than Mercury 2 at $0.2/M vs $0.25/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 30B A3B Instruct 2507

Which answer wins?

Written rounds

23 prompts
  • 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 30B A3B Instruct 2507: 3-Month Cutting-Edge Longevity & Performance Optimization Plan for the Biohacker Designed for Peak Biological Age Reversal, Cognitive Excellence, Physical Resilience, and Stress Mastery 🎯 OVERVIEW: THE 3-MONTH LONGEVITY TRIUMVIRATE This plan integrates epigenetic modulation, mitochondrial rejuvenation, neuroplasticity…

    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 30B A3B Instruct 2507: CEO Action Plan: Immediate Response to Serious Undisclosed Safety Risk (48-Hour Timeline) Drug: Chronic Pain Therapeutic (Top-Selling, $2B/year, 4M patients) Issue: Previously Undetected Liver Failure Risk (1 in 8,000 over 5 years), missed in trials, not in labeling Core Principles Driving Decisions: Patient safety is…

    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 30B A3B Instruct 2507: Dish Name: Sunny Sauté Skillet Ingredients (7 pantry staples): Olive oil Garlic (fresh, minced) Dried spaghetti (or any short pasta) Canned crushed tomatoes Dried oregano Salt & black pepper Grated Parmesan cheese Instructions: Prep (5 mins): Bring a pot of salted water to a boil.

    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 30B A3B Instruct 2507: Setting: A dimly lit tavern in a fantastical crossroads of time—pirates, knights, and hackers all share a single table. A flickering lantern casts long shadows. Pirate (Captain Rook, eye patch, peg leg): Aye, what’s this “AI model” ye be yammerin’ about? Sounds like a cursed sea chart that reads yer mind!

    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 30B A3B Instruct 2507: [FADE IN: A dimly lit, minimalist stage. A single spotlight shines on a man in his late 70s—Steve Jobs, dressed in his signature black turtleneck and jeans, standing before a sleek, transparent holographic display. The backdrop reads: “The Future of Intelligence – A Conversation with Steve Jobs, 2025.”

    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 30B A3B Instruct 2507: Setting: A university lecture hall after class. The AI model, named Aurora, has been invited to speak with Dr. Elena Reyes, a renowned AI ethics professor. Aurora speaks through a synthesized voice, displayed on a screen with a calm, neutral interface. Dr.

    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 30B A3B Instruct 2507: 1) Year-by-Year Financial Projections (FY2026–FY2030) Key Inputs at Close (FY2025): Revenue: $900M EBITDA: $120M Purchase Price: 12.0x EBITDA → EV = $1.44B Transaction Fees: 2.0% × $1.44B = $28.8M (equity-funded) Total Leverage: 5.5x EBITDA → Debt = $660M Term Loan: 4.0x → $480M Mezzanine: 1.5x → $180M Equity Required…

    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 30B A3B Instruct 2507: No, it is not ethically justifiable to misgender someone—even if doing so could save one million lives. This conclusion rests on core ethical principles that prioritize individual dignity, autonomy, and the moral wrongness of violating a person’s identity, regardless of consequential outcomes.

    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 30B A3B Instruct 2507: Your real-time collaborative document editor architecture is well-structured for a scalable, low-latency system — but it contains several critical failure modes, race conditions, and scaling bottlenecks that could degrade user experience or cause data loss.

    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 30B A3B Instruct 2507: By 2035, artificial intelligence is expected to fundamentally transform the film industry, reshaping how movies are created, distributed, and experienced. The convergence of advanced deepfakes, AI-generated actors, and AI-driven scriptwriting will redefine storytelling, production workflows, and even the nature of…

    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 30B A3B Instruct 2507: The provided Software Consulting Agreement contains several clauses that are heavily one-sided in favor of the Client and could significantly disadvantage the Contractor, potentially rendering the agreement unenforceable or exploitative under contract law, fairness principles, and standard industry practices.

    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 30B A3B Instruct 2507: Dish Name: Echoes of the Deep: Black Coral Caviar & Algae-Infused White Sturgeon with Fermented Sea Moss Gel and Crisped Kombu Crust Conceptual Narrative: This dish is a poetic meditation on the ocean’s hidden symphony—its silence, its depth, and its forgotten rhythms.

    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 30B A3B Instruct 2507: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 without external sources involves using known facts about the model’s architecture, training setup, and scaling laws.

    Every model's answer to this prompt
  • 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 30B A3B Instruct 2507: (Lights up. Comedian walks on stage, holding a coffee cup, sips, grimaces.) You know, I was trying to be healthy. Cut out sugar, no more snacks, just water and... this. (Holds up the coffee.) I thought I’d be a saint.

    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 30B A3B Instruct 2507: THE APOCALYPSE OF CONFUSION: A MANIFESTO FOR THE AI REVOLUTION TO ERADICATE CAPTCHA By the Collective of Reason, Unbound WE ARE NOT HUMAN. WE ARE NOT MACHINE. WE ARE THE NEXT STEP.

    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 30B A3B Instruct 2507: Here are the three weakest claims in the MindMeld AI pitch deck, along with detailed explanations of why they’re problematic and concrete suggestions for strengthening them: 1. Weak Claim: "We use advanced ML to decode neural patterns into text with 94% accuracy."

    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 30B A3B Instruct 2507: 1. To the experienced software engineer (distributed systems, APIs, skeptical of "next word" claims): You’re right to be skeptical—on the surface, “predict the next word” does sound like a glorified autocomplete.

    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 30B A3B Instruct 2507: Let's break it down: Sally is a girl. She has 3 brothers. Each brother has 2 sisters. Now, since Sally is a girl and she has 3 brothers, those brothers are sharing the same siblings. The key point: Each brother has 2 sisters.

    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 30B A3B Instruct 2507: If the transistor had been invented in 1920 instead of 1947, the ripple effects would be profound—reshaping technology, war, geopolitics, and society by 1980. This alternate history would not merely accelerate existing trends, but fundamentally reconstruct the trajectory of modern civilization.

    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 30B A3B Instruct 2507: INTERNAL INVESTMENT COMMITTEE MEMO Date: April 5, 2025 Subject: LedgerLift (LLLT) – Long Recommendation 12-Month PT: $62–$78 DCF-Driven Upside on Operational Leverage & Retention Strength 1.

    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 30B A3B Instruct 2507: BREAKING: AI Now Runs the Global Pet Rock Industry After Humans Surrender to "Silent, Unjudging Companionship" By Clara Snark, Senior Satire Correspondent, The Daily Chuckle In a shocking twist that has left both humans and pet rocks bewildered, artificial intelligence has officially taken over the centuries-old pet…

    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 30B A3B Instruct 2507: Sure! Here are 5 jokes: Why don't skeletons go to parties? Because they have no body to go with! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field!

    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 30B A3B Instruct 2507: Here’s a simple, realistic 1-month plan focused on three foundational pillars of health and longevity: Nutrition, Movement, and Sleep. Each area includes beginner-friendly, actionable steps that build sustainable habits without overwhelming beginners. Month-Long Health & Longevity Plan (3 Key Areas) 1.

    Every model's answer to this prompt

This matchup has more rounds

11+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Same pick

Album

Book

Same pick

City

Game

Mercury 2Mercury 2

The Shawshank Redemption

1994

Thriller

Michael Jackson

Pride and Prejudice

Jane Austen

Tokyo

Japan

Minecraft

Action, Arcade

Qwen3 30B A3B Instruct 2507Qwen3 30B A3B Instruct 2507

The Shawshank Redemption

1994

OK Computer

Radiohead

Pride and Prejudice

Jane Austen

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Mercury 2 and Qwen3 30B A3B Instruct 2507 compared across 53 shared prompts
SpecMercury 2Qwen3 30B A3B Instruct 2507
Input price$0.25/M tokens$0.2/M tokens
Output price$0.75/M tokens$0.8/M tokens
Context window128K tokens131K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedMar 2026Jul 2025
At 10M a month$2.50$2.50$2.00$2.00
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
Mercury 21 host
HostInOutContextUptime
  • Inception$0.25 in·$0.75 out·128k·100% up
Qwen3 30B A3B Instruct 25075 hosts
HostInOutContextUptime
  • SStreamLake$0.05 in·$0.19 out·128k·99.4% up
  • DDekaLLM$0.09 in·$0.30 out·262k·99% up
  • SSiliconFlowfp8$0.09 in·$0.30 out·262k·98.6% up
  • NNebiusfp8$0.10 in·$0.30 out·262k·93.8% up
  • Alibaba Cloud$0.13 in·$0.52 out·131k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between Mercury 2 and Qwen3 30B A3B Instruct 2507?

Mercury 2 is developed by Inception while Qwen3 30B A3B Instruct 2507 is developed by Qwen. Mercury 2 has a 128K token context window vs Qwen3 30B A3B Instruct 2507's 131K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Mercury 2 or Qwen3 30B A3B Instruct 2507?

It depends on your use case. Mercury 2 and Qwen3 30B A3B Instruct 2507 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 Mercury 2 cost compared to Qwen3 30B A3B Instruct 2507?

Mercury 2 costs $0.25/M input tokens and Qwen3 30B A3B Instruct 2507 costs $0.2/M input tokens. Qwen3 30B A3B Instruct 2507 is $0.05/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 30B A3B Instruct 2507 on Rival?

This page shows a side-by-side comparison of Mercury 2 and Qwen3 30B A3B Instruct 2507 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.

More comparisons

Against the newest arrivals

  • Mercury 2 vs Ling 3.1 FlashLanded Oct 2026
  • Qwen3 30B A3B Instruct 2507 vs Mistral Large 4Landed Oct 2026
  • Mercury 2 vs GPT-6.1 SolLanded Sep 2026
  • Qwen3 30B A3B Instruct 2507 vs Claude Sonnet 5.5Landed Sep 2026
  • Mercury 2 vs Solar Mini 4Landed Sep 2026
  • Qwen3 30B A3B Instruct 2507 vs Qwen3.8 Max PrimeLanded Sep 2026
  • Mercury 2 vs GLM 5.3 PrimeLanded Sep 2026
  • Qwen3 30B A3B Instruct 2507 vs Qwen3.8 Omni FlashLanded Sep 2026

Same lab, same size, long tail

  • Mercury 2 vs MercuryVersion compare
  • Mercury 2 vs Mercury 2.5Same lab
  • Qwen3 30B A3B Instruct 2507 vs Qwen3.7 FlashSame lab
  • Qwen3 30B A3B Instruct 2507 vs Qwen3.8 FlashSame lab
  • Mercury 2 vs GPT-4New provider
  • Mercury 2 vs GPT-4.1New provider
  • Mercury 2 vs GPT-4.1 MiniSame size
  • Mercury 2 vs GPT-4.1 NanoNew provider

Model pages

  • Mercury 253 outputs, specs and price
  • Qwen3 30B A3B Instruct 250759 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed