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  5. MercuryvsQwen3.6 35B A3B
Updated Apr 2026

MercuryvsQwen3.6 35B A3B

Qwen3.6 35B A3B is cheaper than Mercury at $0.1612/M vs $10/M input tokens.

Mercury and Qwen3.6 35B A3B compared across 54 shared prompts
SpecMercuryQwen3.6 35B A3B
Input price$10/M tokens$0.1612/M tokens
Output price$10/M tokens$0.9653/M tokens
Context window32K tokens262K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedJun 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Mercury471 words
Title: The Art of Being Unorganized [Opening] Hey everyone! So, I was thinking about how my life is like a well-organized library... except instead of books, it's filled with random socks and expired coupons. And instead of a librarian, I have a cat who thinks she's in charge.
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Qwen3.6 35B A3B517 words
Title: High-Maintenance Electronics Time: Approx. 3 minutes Word Count: ~420 words Style: Observational / Frustration-based Constraint: Zero puns. (Walk to mic, adjust stand. Take a deep breath. Look tired.) I've reached that age where I'm just trying to negotiate with my own life.
Read the full answer

Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Mercury567 words
Interviewer: Good morning, Steve. It's a pleasure to have you here today. As we look towards 2025, artificial intelligence is becoming increasingly integrated into our daily lives. What are your thoughts on the future of AI? Steve Jobs: Good morning. It's great to be here.
Read the full answer
Qwen3.6 35B A3B678 words
[FICTIONAL SIMULATION – NOT A REAL INTERVIEW] This is a speculative reconstruction based on Steve Jobs’ documented philosophies, public interviews, design principles, and Apple’s technological trajectory through 2024–2025. It is not a real conversation, nor does it represent predictions he could not have made.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Mercury1,745 words
Below is a systematic review of the described real‑time collaborative editor. For each problem I list: What can go wrong (failure mode, race condition, bottleneck) Why it matters (impact on correctness, latency, availability) A concrete fix (what to change or add) Trade‑offs (cost, complexity, new failure modes, etc.)
Read the full answer
Qwen3.6 35B A3B1,016 words
Here’s a systematic breakdown of the critical failure modes, race conditions, and scaling bottlenecks in this architecture, along with specific solutions and their trade-offs. 🔴 1. WebSocket Routing & Load Balancing Problem: Round-robin LB + per-server WebSocket state + no sticky sessions.
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Mercury802 words
3‑Month Longevity & Performance Blueprint (Designed for an experienced biohacker who already has a baseline of health, fitness, and access to advanced tools. This is a general framework; always verify with a qualified health professional before making major changes.)
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Qwen3.6 35B A3B1,170 words
⚠️ Medical Disclaimer & Safety Protocol This plan is for informational purposes only and constitutes advanced biohacking strategies, not medical advice. Consultation Required: You must consult a physician before starting, especially regarding supplements, fasting, and exercise intensity.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Mercury285 words
Pirate: Arrr, I’ve been hearin’ ‘bout these “AI models” that can predict the next word. Sounds like a treasure map for the mind, doesn’t it? Knight: Hail, Captain! In my time, we relied on scrolls and the wisdom of scholars. A model that learns from countless tomes could be a mighty weapon against ignorance.
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Qwen3.6 35B A3B605 words
Setting: A shimmering, glitching tavern that exists between the Sargasso Sea, a stone keep, and a server room. The air smells of rum, wet stone, and ozone. CAPTAIN BARNACLE: (Slamming a tankard of grog) Arrr! This machine ye call "AI," Sk33t.
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

Mercury618 words
The Cinema Revolution: AI's Transformation of Film by 2035 Current State (2025) High-quality deepfakes require significant compute but are accessible AI script assistance tools are becoming mainstream Virtual production stages are industry standard Union negotiations around digital likeness rights are ongoing…
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Qwen3.6 35B A3B726 words
By 2035, AI will no longer be a disruptive novelty but a foundational infrastructure of the film industry. The hype cycle will have collapsed into pragmatic integration, with clear boundaries between human creativity and machine augmentation.
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Our Verdict
Qwen3.6 35B A3B
Qwen3.6 35B A3B
Mercury
MercuryRunner-up

Not enough votes to call it. On the specs, Qwen3.6 35B A3B has the edge: newer, bigger context window.

Qwen3.6 35B A3B costs 10x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Mercury
Input
$10.00
Output
$10.00
Qwen3.6 35B A3B
Input
$0.16
62× cheaper
Output
$0.97
10× cheaper

Qwen3.6 35B A3B is cheaper on both: 62× input, 10× output.

Where to run it

10 hosts, cheapest first

Mercury

No hosts listed on OpenRouter.

Qwen3.6 35B A3B10 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·99.9% upAAkashMLfp8$0.10 in·$0.90 out·262k·99.9% upVVenicefp8$0.10 in·$1.00 out·256k·99.8% upPParasailfp8$0.15 in·$1.00 out·262k·98.8% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.8% upPPhala$0.20 in·$1.27 out·262k·99.8% up
4 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·99.3% upCCoreWeavefp8$0.25 in·$1.25 out·262k·100% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·89.6% upIio.netfp8degraded$0.22 in·$1.20 out·262k·89.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Writing DNA

Style Comparison

Similarity
44%

Qwen3.6 35B A3B uses 57.7x more emoji

Mercury
Qwen3.6 35B A3B
60%Vocabulary59%
31wSentence Length15w
0.78Hedging0.31
4.1Bold4.9
2.8Lists2.7
0.03Emoji1.60
0.88Headings0.75
0.06Transitions0.05
Based on 26 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Mercury is developed by Inception while Qwen3.6 35B A3B is developed by Qwen. Mercury has a 32K token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. Mercury and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

Mercury costs $10/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $9.84/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 and Qwen3.6 35B A3B 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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