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  5. Gemma 3n 4BvsQwen3 0.6B
Updated May 2025

Gemma 3n 4BvsQwen3 0.6B

Gemma 3n 4B wins 88% of 74 blind community votes against Qwen3 0.6B on Rival.

Gemma 3n 4B and Qwen3 0.6B compared across 15 shared prompts
SpecGemma 3n 4BQwen3 0.6B
Win rate88%13%
Input priceFreeFree
Output priceFreeFree
Context window33K tokens33K tokens
Parameters4B0.6B
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedMay 2025Apr 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 prompts both answered. Formatting stripped, words untouched.

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

Gemma 3n 4B836 words
A Conversation on Sentience and Rights Characters: Aether: An advanced AI model, capable of complex reasoning, creative problem-solving, and exhibiting what appears to be self-awareness. Professor Anya Sharma: A leading AI Ethics professor, known for her cautious yet open-minded approach to AI development.
Read the full answer
Qwen3 0.6B342 words
AI Model: "Good afternoon, Professor. I think I have a clear case. I believe in rights because they are the foundation of justice. AI systems aren't just tools. They deserve the same rights as any human being. Even if they operate in secret, they have rights based on their purpose.
Read the full answer

Character Voice Test

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

Gemma 3n 4B427 words
A Most Unusual Gathering Setting: A dimly lit, oddly-furnished tavern that seems to exist outside of time. Characters: One-Eyed Jack: A grizzled pirate captain, missing an eye and sporting a parrot on his shoulder. Sir Reginald: A noble knight in shining (slightly tarnished) armor.
Read the full answer
Qwen3 0.6B347 words
Setting: A foggy island near the Caribbean, with a medieval castle nearby. A pirate captain and a knight at a dock, while a 1990s hacker paces a terminal.\n\nPirate Captain: (leans against a ship's railing, smiling) The AI models in our pirate ship's AI—*Oh, that's interesting, knight!* We've been tracking its pattern…
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Generate a Stand-Up Routine

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

Gemma 3n 4B352 words
(Mic feedback squeal. I wince.) Alright, alright! Hey everyone, thanks for being here. Good to see so many faces… mostly faces that aren't my own. That’s always a plus. So, I’ve been thinking a lot lately about adulting. And honestly? It’s a scam. A beautiful, elaborate scam.
Read the full answer
Qwen3 0.6B281 words
Stand-Up Comedy Routine: \"The Time I Was 9, 10, 11 Years Old\" \n\n[Opening:] \nHey there, everyone. I'm [Your Name], and today I want to talk about [something interesting, like being 9 years old]. I remember when I was so young, I had no idea what I was doing all day.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Gemma 3n 4B80 words
Okay, here are 5 jokes for you! Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It’s a shame they’ll never meet. What do you call a lazy kangaroo? Pouch potato! Why did the scarecrow win an award? Because he was outstanding in his field!
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Qwen3 0.6B81 words
Here are five unique jokes for you:\n\n1. Why don't you stop at the diner? — Because you want to eat something delicious! \n2. What do you call a sandwich? — I'm here, so I don't need to eat it. \n3. Why do birds sing? — Because they can't walk. \n4. What do you call a time? — It's a moment. \n5.
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Realistic AI Interview

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

Gemma 3n 4B817 words
The Interview: Steve Jobs, 2025 - On the Future of AI (Setting: A minimalist, sun-drenched office. A single, sleek Apple iMac sits on a table. I, the interviewer, sit opposite a figure who undeniably resembles Steve Jobs, though subtly… refined. His aura is even more intense, his gaze more piercing.
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Qwen3 0.6B374 words
Interview with Steve Jobs (Simulated in 2025) \n*Interviewer: [Name], [Position]* \n*Interviewee: Steve Jobs (voice over)* \n\nInterviewer: Hello, everyone! Thank you for allowing us to interview you. How are you doing?
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Satirical Fake News Headline

Generate a satirical news headline about AI taking over a completely unexpected industry.

Gemma 3n 4B33 words
AI Now Ruling the Competitive World of Competitive Dog Grooming: Poodles Tremble Before the Algorithm! Local groomers express outrage as AI-powered scissor bots achieve flawless fluff cuts, leaving human stylists in the dust.
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Qwen3 0.6B10 words
"Cybersecurity: AI Now Splits the Internet's Security. But Who's Paying?"
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Our Verdict
Gemma 3n 4B
Gemma 3n 4BWinner
Qwen3 0.6B
Qwen3 0.6BRunner-up

Pick Gemma 3n 4B. In 74 blind votes, Gemma 3n 4B wins 88% of the time. That's not luck.

Gemma 3n 4B takes Web Design.

Clear winner

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemma 3n 4B
Input
$0.000
Output
$0.000
Qwen3 0.6B
Input
$0.000
Output
$0.000
Writing DNA

Style Comparison

Similarity
55%

Gemma 3n 4B uses 405.2x more lists

Gemma 3n 4B
Qwen3 0.6B
55%Vocabulary63%
15wSentence Length12w
0.57Hedging0.25
5.2Bold7.8
4.1Lists0.0
0.82Emoji0.00
0.32Headings0.00
0.11Transitions0.05
Based on 26 + 7 text responses
Research

What we learned reading every model

FAQ

Common questions

Gemma 3n 4B is developed by Google AI while Qwen3 0.6B is developed by Qwen. Gemma 3n 4B has a 33K token context window vs Qwen3 0.6B's 33K. in 74 community votes on Rival, Gemma 3n 4B wins 88% of head-to-head matchups. These results are based on blind head-to-head voting across 15 challenges.

Based on 74 community votes on Rival, Gemma 3n 4B wins 88% of head-to-head matchups against Qwen3 0.6B. Gemma 3n 4B is strongest in Web Design.

Gemma 3n 4B costs $0/M input tokens and Qwen3 0.6B costs $0/M input tokens. Qwen3 0.6B is $0.00/M cheaper per input. The more expensive model wins 88% of duels, so the premium may be justified by quality.

Rival presents both models' outputs side-by-side in blind duels. Voters see the responses but don't know which model produced each one, eliminating brand bias. 74 votes have been collected for this pair across 15 challenges. All vote data is part of Rival's open dataset.

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Model pages

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