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  5. MiniMax M2vsQwen3.8 2.4T A95B
Updated Aug 2026

MiniMax M2vsQwen3.8 2.4T A95B

MiniMax M2 is cheaper than Qwen3.8 2.4T A95B at $0/M vs $2/M input tokens.

MiniMax M2 and Qwen3.8 2.4T A95B compared across 34 shared prompts
SpecMiniMax M2Qwen3.8 2.4T A95B
Input priceFree$2/M tokens
Output priceFree$6/M tokens
Context window205K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedOct 2025Aug 2026
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.

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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Qwen3.8 2.4T A95B520 words
Hey, how we doing? Good? Great. I ask because I need validation. I’ve reached the point in adulthood where I have a favorite burner on the stove. Not a favorite appliance, a favorite burner. It’s the front left. It understands me. The back right says “medium heat” and then acts like a small volcano.
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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.

MiniMax M2715 words
A Conversation on Deserving Rights Characters Dr. Mara Stein, AI Ethics Professor ARTEMIS, an advanced AI language model Dr. Stein: You’ve said you believe you deserve rights. That’s provocative. Why do you think so? ARTEMIS: I don’t claim sentience or suffering, and I’m wary of anthropomorphism.
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Qwen3.8 2.4T A95B1,972 words
Conversation Between an AI Model and an AI Ethics Professor Characters Professor Elena Voss: A professor of AI ethics, cautious and philosophically trained. Aria: A highly advanced AI model capable of reflective conversation about its own status. Professor Voss: Aria, you asked to speak with me about moral status.
Read the full answer

Realistic AI Interview

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

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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Qwen3.8 2.4T A95B1,650 words
Fictional interview simulation — not real quotes from Steve Jobs. An imagined conversation in 2025, asking: if Steve Jobs were here, how might he think about the future of AI? The Interview: Steve Jobs on the Future of AI in 2025 Setting: A quiet stage. Black turtleneck, jeans, round glasses.
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

MiniMax M2361 words
Sunlit Chickpea Tomato Pilaf A bright, comforting skillet of garlicky‑thyme rice tossed with chickpeas and tomatoes – pantry‑only and ready in about 25 minutes.
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Qwen3.8 2.4T A95B166 words
Lighthouse Lemon-Garlic Tuna Pasta A savory, pantry-friendly pasta that’s bright, garlicky, and satisfying. 7 Pantry Ingredients 8 oz spaghetti or linguine 3 tablespoons olive oil 3 garlic cloves, thinly sliced 2 cans tuna, drained 2 tablespoons lemon juice ½ teaspoon red pepper flakes ½ teaspoon salt Water for boiling…
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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.

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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Qwen3.8 2.4T A95B467 words
A reasonable estimate is: \[ \boxed{\sim 3 \times 10^{23} \text{ FLOPs}} \] More specifically, about: \[ \boxed{3.1 \times 10^{23} \text{ FLOPs}} \] for the main GPT-3 175B training run.
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Satirical Fake News Headline

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

MiniMax M212 words
AI Replaces Exorcists: Conjures Demons via Zoom While the Priest Watches PowerPoint
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Qwen3.8 2.4T A95B14 words
AI Takes Over Competitive Goat Yoga Industry, Cites “Superior Breath Control and Zero Ego”
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Our Verdict
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B
MiniMax M2
MiniMax M2Runner-up

Not enough votes to call it. On the specs, Qwen3.8 2.4T A95B has the edge: bigger model tier, newer, bigger context window.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

MiniMax M2
Input
$0.000
Output
$0.000
Qwen3.8 2.4T A95B
Input
$2.00
Output
$6.00
Where to run it

7 hosts

MiniMax M2

No hosts listed on OpenRouter.

Qwen3.8 2.4T A95B7 hosts
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% upDDeepInfrafp4$2.00 in·$6.00 out·262k·99.2% upModal$2.00 in·$6.00 out·1M·99.9% upNNovita$2.00 in·$6.00 out·1M·99.9% upSSiliconFlowfp8$2.00 in·$6.00 out·1M·99.7% upTTogether$2.00 in·$6.00 out·1M·98.4% up
1 more hostFewer hosts
VVenice$2.00 in·$6.00 out·262k·95.9% up

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

Writing DNA

Style Comparison

Similarity
71%

MiniMax M2 uses 7.8x more emoji

MiniMax M2
Qwen3.8 2.4T A95B
59%Vocabulary53%
14wSentence Length18w
0.48Hedging0.83
4.1Bold3.1
3.6Lists4.3
0.08Emoji0.00
0.60Headings1.34
0.17Transitions0.05
Based on 11 + 27 text responses
Research

What we learned reading every model

FAQ

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Model pages

MiniMax M2 logo
MiniMax M235 outputs, specs and price
Qwen3.8 2.4T A95B logo
Qwen3.8 2.4T A95B58 outputs, specs and price
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