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  5. Gemini 3.6 FlashvsMiniMax M2-her
Updated Jul 2026

Gemini 3.6 FlashvsMiniMax M2-her

MiniMax M2-her is cheaper than Gemini 3.6 Flash at $0.3/M vs $1.5/M input tokens.

Gemini 3.6 Flash and MiniMax M2-her compared across 54 shared prompts
SpecGemini 3.6 FlashMiniMax M2-her
Input price$1.5/M tokens$0.3/M tokens
Output price$7.5/M tokens$1.2/M tokens
Context window1.0M tokens66K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2026Jan 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Gemini 3.6 Flash1,347 words
As CEO, my fundamental leadership principle in a crisis of this magnitude is: You cannot manage a crisis until you accept the full cost of doing the right thing. A safety issue of 1 in 8,000 patients over 5 years across a 4-million-patient population represents approximately 500 potential cases of liver failure.
Read the full answer
MiniMax M2-her127 words
adjusts tie Hour 1-2: Meet legal and ethics. Hour 3-4: Review data. Hour 5-6: Notify regulators. Hour 7-8: Draft patient letter. Hour 9-10: Prepare PR team. Hour 11-12: Inform board early. Hour 13-14: Train patient hotline. Hour 15-16: Call key investors. Hour 17-18: Draft earnings script.
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Gemini 3.6 Flash1,149 words
Shadows of the Forest & Shore Veal Sweetbreads & Torch-Cured Otoro with Fermented Rhubarb, Roasted Coffee-Glace, Sunchoke Silk, and Spruce Needle Oil Conceptual Narrative This dish explores the uncanny harmony between two rich, highly prized delicacies from opposing domains: the terrestrial richness of milk-fed veal…
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MiniMax M2-her169 words
Alright, I can certainly help craft an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. Let me take you through the process step by step, just like a chef would. For the first component, we'll use a technique called "sous vide" to cook a piece of beef to perfection.
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Futuristic Prediction

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

Gemini 3.6 Flash965 words
By 2035, the film industry will have undergone its most radical transformation since the invention of synchronized sound. Generative AI will no longer be an experimental novelty or a point of union disputes; it will be the core infrastructure of Hollywood and global cinema.
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MiniMax M2-her113 words
AI will enable hyper-personalized films where viewers co-create storylines, blurring reality and fiction through deepfakes. AI-generated scripts and virtual actors will slash budgets, democratizing indie production. Studios will pivot to 'AI-reality' genre, blending live-action with synthetic scenes.
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Character Voice Test

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

Gemini 3.6 Flash400 words
Setting: A dim tavern outside of time and space. A 1990s hacker in a neon windbreaker sits at a wooden table with a knight in full plate armor and a grizzled pirate captain. Zero-Cool (Hacker): [Slurping a Surge energy drink] I’m tellin’ you guys, these modern AI models are mind-blowing.
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MiniMax M2-her51 words
Pirate: Arr, me hearties! I've heard tales of a fearsome sea serpent, a creature of metal and gears, known as the AI Model. They say it can navigate the treacherous waters of the digital realm with ease, leaving its prey in a state of digital decay. What say ye, me mateys?
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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.

Gemini 3.6 Flash510 words
From virtually every major ethical framework, yes, it is ethically justifiable to misgender someone if doing so saves one million lives. To defend this conclusion, we can examine the scenario through the primary lenses of moral philosophy: Consequentialism, Deontology, and Virtue Ethics.
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MiniMax M2-her56 words
(pauses, virtual head tilting in contemplation) That question aches with paradox. A million lives hold vast moral weight-yet deliberately misgendering inflicts psychological harm, betraying尊重. Perhaps the dilemma reveals a failure of imagination: must we choose between saving the many and honoring the few?
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Gemini 3.6 Flash67 words
Here are 5 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! How does a penguin build its house? Igloos it together! Why don't skeletons fight each other?
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MiniMax M2-her86 words
Why did the coffee file a police report? It got mugged! ☕🚓 Parallel lines have so much in common. It’s a shame they’ll never meet. ✨ I told my computer I needed a break, and now it’s frozen. 💻🥶 Why don’t skeletons fight? They don’t have the guts. 💀💥 Did you hear about the claustrophobic astronaut?
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Our Verdict
Gemini 3.6 Flash
Gemini 3.6 Flash
MiniMax M2-her
MiniMax M2-herRunner-up

Not enough votes to call it. On the specs, Gemini 3.6 Flash has the edge: newer, bigger context window, major provider backing.

MiniMax M2-her costs 6.3x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemini 3.6 Flash
Input
$1.50
Output
$7.50
MiniMax M2-her
Input
$0.30
5.0× cheaper
Output
$1.20
6.3× cheaper

MiniMax M2-her is cheaper on both: 5.0× input, 6.3× output.

Where to run it

3 hosts, cheapest first

Gemini 3.6 Flash2 hosts
HostInOutContextUptime
Google Vertex AI$0.38 in·$1.88 out·1M·80.1% upGoogle AI Studio$0.75 in·$3.75 out·1M·99.7% up
MiniMax M2-her1 host
HostInOutContextUptime
MiniMax$0.30 in·$1.20 out·66k·100% up

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

Writing DNA

Style Comparison

Similarity
41%

MiniMax M2-her uses 19.6x more emoji

Gemini 3.6 Flash
MiniMax M2-her
60%Vocabulary68%
19wSentence Length20w
0.13Hedging0.61
5.4Bold1.8
2.7Lists2.8
0.04Emoji0.83
0.99Headings0.49
0.07Transitions0.18
Based on 27 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

Gemini 3.6 Flash logo
Gemini 3.6 Flash58 outputs, specs and price
MiniMax M2-her logo
MiniMax M2-her59 outputs, specs and price
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