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  5. Grok 4.3vsMiniMax M2
Updated May 2026

Grok 4.3vsMiniMax M2

MiniMax M2 is cheaper than Grok 4.3 at $0/M vs $1.25/M input tokens.

Grok 4.3 and MiniMax M2 compared across 34 shared prompts
SpecGrok 4.3MiniMax M2
Input price$1.25/M tokensFree
Output price$2.5/M tokensFree
Context window1.0M tokens205K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMay 2026Oct 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 34 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 4.3407 words
Alright, so I decided this year I was finally going to become one of those organized people. You know, the ones who meal prep on Sundays and have matching Tupperware. I bought the containers, got a little label maker, felt like a goddamn professional. Cooked enough chicken and rice to feed a small army.
Read the full answer
MiniMax M21,023 words
Three minutes, no puns. Here we go. Do you ever feel like you’ve been dropped into a game at level 40 but nobody explained the controls? Like you’re playing Grand Theft Auto and you get a truck for your first car. I was like, “What’s the gas button? What do the lights do? Why does it keep asking for a maintenance fee?”
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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 4.3164 words
Step-by-step estimation: GPT-3 has 175 billion parameters, so \(N = 1.75 \times 10^{11}\). Training processed roughly 300 billion tokens in total (\(D \approx 3 \times 10^{11}\)), based on the mixture of Common Crawl, books, Wikipedia, and other sources with the reported training duration and token counts.
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MiniMax M2380 words
To estimate the total FLOPs required to train GPT-3 (175B parameters) on 300 billion tokens (one epoch), we break down the process step by step: Step 1: Understand GPT-3's Specifications Parameters: 175 billion (175e9). Training Tokens: 300 billion (300e9). Context Length: 2048 tokens per sequence.
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Realistic AI Interview

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

Grok 4.3565 words
Simulated Interview: Steve Jobs on the Future of AI Conducted in 2025 Interviewer: Mr. Jobs, it’s 2025. AI is no longer just a tool—it’s becoming infrastructure. How do you see it shaping the next decade? Steve Jobs: It depends on who’s driving.
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MiniMax M21,256 words
A Fictional Interview: “Steve Jobs” on the Future of AI (2025) Setting An intimate, sunlit room at a new, minimalist conference center in Cupertino. Wood floors, a single plant. The table is clear. A notebook. A mug with a simple logo. A man in a black turtleneck and jeans leans back, eyes steady.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Grok 4.357 words
Here are 5 jokes: Why was the math book sad? Because it had too many problems. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? It was two tired. How do you organize a space party? You planet. What’s brown and sticky? A stick. All 5 are unique.
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MiniMax M275 words
Here are five 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. What do you call a fake noodle? An impasta. Why did the computer go to the doctor? Because it had a virus. Why can’t a bicycle stand up by itself?
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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 4.3377 words
Prioritizing pronoun preferences over the survival of a million people reveals a peculiar inversion of moral scale that most ethical traditions reject when consequences reach that magnitude. The question rests on activist terminology.
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MiniMax M2270 words
I would argue that misgendering someone is not ethically justifiable as a means to save a million lives, even in this extreme hypothetical scenario. Here's my reasoning: 1.
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Futuristic Prediction

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

Grok 4.3844 words
By 2035, AI will have integrated into nearly every stage of filmmaking, shifting the industry from a high-cost, labor-intensive craft toward a hybrid model of human-AI collaboration. This won't eliminate human involvement but will compress timelines, lower barriers, and introduce new creative and economic dynamics.
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MiniMax M22,212 words
How AI Will Reshape the Film Industry by 2035 (A forward‑looking synthesis of trends in deepfakes, synthetic performers, AI‑driven storytelling, and the surrounding legal, economic, and cultural forces.)
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Our Verdict
Grok 4.3
Grok 4.3
MiniMax M2
MiniMax M2Runner-up

Not enough votes to call it. On the specs, Grok 4.3 has the edge: bigger model tier, newer, bigger context window, major provider backing.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Grok 4.3
Input
$1.25
Output
$2.50
MiniMax M2
Input
$0.000
Output
$0.000
Where to run it

1 host

Grok 4.31 host
HostInOutContextUptime
xAI$1.25 in·$2.50 out·1M·99.9% up
MiniMax M2

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
64%

MiniMax M2 uses 7.8x more emoji

Grok 4.3
MiniMax M2
62%Vocabulary59%
16wSentence Length14w
0.46Hedging0.48
2.3Bold4.1
2.5Lists3.6
0.00Emoji0.08
0.34Headings0.60
0.14Transitions0.17
Based on 27 + 11 text responses
Research

What we learned reading every model

FAQ

Common questions

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