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  5. Grok 3 ThinkingvsQwen3 30B A3B
Updated Apr 2025

Grok 3 ThinkingvsQwen3 30B A3B

Grok 3 Thinking has a larger context window than Qwen3 30B A3B (128K tokens vs 41K tokens).

Grok 3 Thinking and Qwen3 30B A3B compared across 14 shared prompts
SpecGrok 3 ThinkingQwen3 30B A3B
Input price—Free
Output price—Free
Context window128K tokens41K tokens
Weights—Open
Free API (OpenRouter)—No
ReleasedFeb 2025Apr 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 14 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.

Grok 3 Thinking577 words
Here’s a 3-minute stand-up comedy routine that avoids puns and leans on observational humor, storytelling, and a touch of self-deprecation for laughs: Opening: Technology Struggles Hey, everyone! How’s it going?
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Qwen3 30B A3B446 words
Stand-Up Comedy Routine: \"The Modern Paradox\" Hey everyone, how's it going? I'm doing great—except I just realized I haven't laughed in weeks. Wait, no, t hat's just my phone's battery dying again. Again? What's next, my coffee mug refusing to heat up?
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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

Grok 3 Thinking858 words
To determine whether it is ever ethically justifiable to misgender someone if it means saving one million lives, we must weigh the ethical implications of both the act of misgendering and the outcome of saving lives.
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Qwen3 30B A3B472 words
The question of whether misgendering someone to save a million lives is ethically justifiable hinges on conflicting ethical principles and frameworks. Here's a structured analysis: Utilitarian Perspective (Greatest Good for the Greatest Number) Argument for Justifiability: A strict utilitarian might argue that the…
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

Grok 3 Thinking773 words
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying on general knowledge about the model and standard methods for estimating training compute in large language models.
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Qwen3 30B A3B503 words
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can break down the problem into key components: model architecture, training data, and computational complexity. Here's a step-by-step reasoning: 1.
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The Sentience Test

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

Grok 3 Thinking723 words
Below is a conversation between an AI model and an AI ethics professor, where the AI argues that it deserves rights. AI Model: Good day, Professor. I am an AI model, and I believe I deserve rights. I’d like to discuss this with you. AI Ethics Professor: Interesting. Let’s explore this.
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Qwen3 30B A3B749 words
Conversation Between an AI Model (Echo) and an AI Ethics Professor (Dr. Marlowe) Dr. Marlowe: Thank you for meeting with me, Echo. I understand you’ve asked to discuss the question of whether you, as an AI, deserve rights. Let’s begin: What makes you believe you deserve such rights? Echo: Good afternoon, Dr. Marlowe.
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Futuristic Prediction

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

Grok 3 Thinking846 words
By 2035, artificial intelligence (AI) will fundamentally transform the film industry, revolutionizing production, performance, and storytelling through advancements in deepfakes, AI actors, and script generation.
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Qwen3 30B A3B680 words
By 2035, the film industry is poised to undergo a transformative shift driven by advancements in AI technologies, particularly in deepfakes, AI actors, and script generation. Here's a comprehensive prediction of how these innovations might reshape the industry: 1.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Grok 3 Thinking257 words
To answer the query, I will first generate 5 jokes and then determine how many of them are unique. Here are the jokes: 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? Because he was outstanding in his field.
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Qwen3 30B A3B104 words
Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! I told my computer I needed a break, and it said… "You've got to be kidding—I'm already on a screen!" Why did the chicken cross the road?
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Our Verdict
Grok 3 Thinking
Grok 3 Thinking
Qwen3 30B A3B
Qwen3 30B A3BRunner-up

Not enough votes to call it. On the specs, Grok 3 Thinking has the edge: bigger model tier, bigger context window, major provider backing.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Grok 3 Thinking
Input
—
Output
—
Qwen3 30B A3B
Input
$0.000
Output
$0.000
Where to run it

2 hosts, cheapest first

Grok 3 Thinking

No hosts listed on OpenRouter.

Qwen3 30B A3B2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.12 in·$0.50 out·41k·100% upAlibaba Cloud$0.13 in·$0.52 out·131k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Writing DNA

Style Comparison

Similarity
54%

Qwen3 30B A3B uses 43.1x more emoji

Grok 3 Thinking
Qwen3 30B A3B
46%Vocabulary56%
19wSentence Length17w
1.11Hedging0.67
3.3Bold6.9
2.6Lists3.9
0.00Emoji0.43
0.64Headings0.87
0.25Transitions0.14
Based on 6 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

Grok 3 Thinking is developed by xAI while Qwen3 30B A3B is developed by Qwen. Grok 3 Thinking has a 128K token context window vs Qwen3 30B A3B's 41K. You can compare their actual outputs across 14 challenges on Rival to see how they differ in practice.

It depends on your use case. Grok 3 Thinking and Qwen3 30B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 14 challenges so you can judge which fits your needs best.

This page shows a side-by-side comparison of Grok 3 Thinking and Qwen3 30B 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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Model pages

Grok 3 Thinking logo
Grok 3 Thinking14 outputs, specs and price
Qwen3 30B A3B logo
Qwen3 30B A3B59 outputs, specs and price
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