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  5. Grok 3 ThinkingvsQwen3 235B A22B 2507
Updated Jul 2025

Grok 3 ThinkingvsQwen3 235B A22B 2507

Qwen3 235B A22B 2507 is the newer model, released after Grok 3 Thinking.

Grok 3 Thinking and Qwen3 235B A22B 2507 compared across 7 shared prompts
SpecGrok 3 ThinkingQwen3 235B A22B 2507
Input price—$0.00015/M tokens
Output price—$0.00085/M tokens
Context window128K tokens—
Weights—Open
Free API (OpenRouter)—No
ReleasedFeb 2025Jul 2025
Side by side

Same prompt, both answers

Opening lines from 4 of the 7 prompts both answered. Formatting stripped, words untouched.

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.
Read the full answer
Qwen3 235B A22B 2507187 words
Sure! Here are 5 original jokes: I asked my dog what's two minus two. He said nothing. (Paw-sitively nothing!) Why did the coffee file a police report? It got mugged. Every single morning. I used to be a baker, but I couldn't make enough dough. So I switched careers and became a plumber. Now I deal with real pipes.
Read the full answer

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.
Read the full answer
Qwen3 235B A22B 2507936 words
Title: "Consciousness in Code: A Dialogue on AI Rights" Setting: A quiet university office. Dr. Elena Marquez, a professor of AI ethics with decades of research in machine consciousness and digital personhood, sits across from a large screen displaying a serene blue interface.
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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 235B A22B 2507428 words
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves reasoning through several key parameters: model size (number of parameters), the number of training tokens, and the relationship between these quantities and FLOPs.
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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 235B A22B 2507690 words
By 2035, artificial intelligence is poised to fundamentally transform the film industry, reshaping nearly every stage of production, distribution, and consumption.
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Our Verdict
Grok 3 Thinking
Grok 3 Thinking
Qwen3 235B A22B 2507
Qwen3 235B A22B 2507

Not enough votes to call it. On the specs, nothing separates them.

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 235B A22B 2507
Input
$0.000
Output
$0.001
Where to run it

9 hosts, cheapest first

Grok 3 Thinking

No hosts listed on OpenRouter.

Qwen3 235B A22B 25079 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.09 in·$0.35 out·262k·98.6% upDDeepInfrafp8$0.09 in·$0.55 out·262k·96.3% upNNovitafp8$0.09 in·$0.58 out·131k·98.3% upPParasailfp8$0.14 in·$0.80 out·131k·99.9% upAlibaba Cloud$0.15 in·$0.60 out·131k·100% upVVenicefp8$0.15 in·$0.75 out·128k·96.1% up
3 more hostsFewer hosts
NNebiusfp8$0.20 in·$0.60 out·262k·95.4% upSStreamLake$0.21 in·$0.84 out·128k·99.1% upGoogle Vertex AI$0.22 in·$0.88 out·262k·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
49%

Qwen3 235B A22B 2507 uses 44.8x more emoji

Grok 3 Thinking
Qwen3 235B A22B 2507
46%Vocabulary57%
19wSentence Length18w
1.11Hedging0.40
3.3Bold5.9
2.6Lists4.8
0.00Emoji0.45
0.64Headings1.07
0.25Transitions0.11
Based on 6 + 18 text responses
Research

What we learned reading every model

FAQ

Common questions

Grok 3 Thinking is developed by xAI while Qwen3 235B A22B 2507 is developed by Qwen. You can compare their actual outputs across 7 challenges on Rival to see how they differ in practice.

It depends on your use case. Grok 3 Thinking and Qwen3 235B A22B 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 7 challenges so you can judge which fits your needs best.

This page shows a side-by-side comparison of Grok 3 Thinking and Qwen3 235B A22B 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.

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Same lab, same size, long tail

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Model pages

Grok 3 Thinking logo
Grok 3 Thinking14 outputs, specs and price
Qwen3 235B A22B 2507 logo
Qwen3 235B A22B 250736 outputs, specs and price
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