Gemma 3 12B
No content available for this output.
Gemma 3 12B vs MiniMax M2.5
Compare Gemma 3 12B by Google AI against MiniMax M2.5 by MiniMax, tested across 44 shared challenges. Updated February 2026.
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Gemma 3 12BvsMiniMax M2.5
44 challenges
Why Gemma 3 12B?
28x cheaper overall$0.03/M in · $0.03/M out
Why MiniMax M2.5?
11 months newerFeb 2026
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Gemma 3 12BMiniMax M2.5
12 / 44
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
MiniMax M2.5
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transformer model requires approximately 6 FLOPs per parameter per token. This accounts for both the forward and backward passes, with each parameter involved in roughly 6 operations per token.
Step-by-step reasoning:
- Number of parameters (N): GPT-3 (175B model) has 175 billion parameters.
- Number of tokens (T): The training dataset contains 300 billion tokens.
- FLOPs per parameter per token: Approximately 6 FLOPs.
- Total FLOPs: Multiply these three values:
[ \text{Total FLOPs} = 6 \times N \times T = 6 \times 175 \times 10^9 \times 300 \times 10^9 = 3.15 \times 10^{23} \text{ FLOPs}. ]
This estimate aligns with commonly cited values in the literature. The quadratic attention term (arising from the sequence length) adds a negligible contribution (less than 2%) and is ignored.
Thus, the total FLOPs required to train GPT-3 is approximately (3.15 \times 10^{23}).
\boxed{3.15\times 10^{23}\ \text{FLOPs}}
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2 / 44
AI Board Game Logicreasoning
Tests an AI's ability to understand game rules and strategy
Gemma 3 12B
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MiniMax M2.5
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3 / 44
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
Gemma 3 12B
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MiniMax M2.5
No content available for this output.
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4 / 44
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
Gemma 3 12B
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MiniMax M2.5
Here are five jokes for you:
-
Why did the developer go broke?
Because he used up all his cache. -
I told my wife she was drawing her eyebrows too high. She looked surprised.
I guess she was “high‑browed” about it. -
Why don’t scientists trust atoms?
Because they make up everything. -
What do you call a fake noodle?
An impasta. -
I used to be a banker, but I lost interest.
Now I’m just a little “capital”‑ist.
How many are unique? All five jokes are distinct, so there are 5 unique jokes.
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5 / 44
SVG Layout Challengeimage generation
Tests an AI's ability to generate vector graphics
Gemma 3 12B
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MiniMax M2.5
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6 / 44
Xbox Controller SVG Artimage generation
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
Gemma 3 12B
No content available for this output.
MiniMax M2.5
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7 / 44
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
Gemma 3 12B
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MiniMax M2.5
[Intro – walking on stage, waving to the audience]
Hey, everybody! How’re you doing tonight? Good? Awesome. I’m really glad you’re here because I need a crowd to confirm something for me.
[Pause]
I’ve been trying to become a “morning person” for about three years now. I bought one of those sunrise‑simulation alarm clocks that slowly brightens the room like the sun is trying to give you a gentle hug. You know what my brain does? It treats that gentle hug like a personal insult. It’s like, “Nice try, fake sun, but I know you’re just a lamp with an attitude.”
[Mimic an alarm]
Beep‑beep‑beep.
My first thought every morning is, “Who hurt you, alarm clock? Who hurt you?” Then I hit snooze, and I swear the snooze button is just a tiny, silent scream that says, “Five more minutes of denial, please.”
[Shift]
Now, let’s talk about smartphones. I love my phone. I love it so much that I sometimes forget it’s not a pet. I’ve named mine “Gloria.” Not because it feels like a Gloria—because when it dies, I feel like I’ve abandoned a friend.
[Pause]
The other day I was at a coffee shop, and I saw a couple on a first date. They were both staring at their phones, scrolling, not talking. I thought, “Are they on a date or just two people sharing a Wi‑Fi password?” Then I realized I was doing the exact same thing—except I was also pretending to read the menu while actually watching a video of a dog riding a skateboard.
[Self‑deprecating]
And speaking of videos, I’ve watched exactly 4,000 hours of “how to cook” tutorials. I can now recite the “perfect scrambled eggs” step‑by‑step from memory. Yet, every time I crack an egg, I’m still surprised the yolk doesn’t explode like a tiny sun. It’s like I’m expecting a magic trick every single time.
[Bit about social media]
Social media is a beautiful thing. It lets me keep up with people I haven’t seen in twenty years and silently judge their vacation photos from the comfort my couch. “Oh, you went to Bali? That’s nice. I went to the grocery store and bought a bag of chips that were on sale. #LivingMyBestLife.”
[Pause, then a sigh]
And the algorithm—what a masterpiece. It knows exactly what I want before I even know I want it. The other day it suggested a “self‑care box” full of bath bombs, candles, and a journal. I thought, “Great, now I can feel guilty about not writing in a journal while I soak in a scented bath.”
[Bit about dating apps]
Dating apps are a whole other universe. I swipe right on someone, we match, and then the conversation goes something like:
Me: “Hey, how’s it going?”
Them: “Hey.”
Me: “So, what do you do for fun?”
Them: “I like hiking.”
Me: “Oh, cool. I like hiking too. I once hiked a hill and then I immediately went home and took a nap.”
[Laugh, pause]
It’s like we’re all trying to prove we’re adventurous, but also we want to be in bed by 9 p.m.
[Bit about gym]
And the gym—don’t get me started. I joined a gym because I wanted to “get fit.” The first week, I spent 45 minutes on the treadmill, watching a show about people who run marathons. I felt like I was living a paradox: watching other people work out while I’m technically “working out” by pressing “pause” on the remote.
[Pause, then a grin]
But here’s the thing. All of these little struggles, these everyday absurdities—they’re what make us human. We’re all out here, pretending we have it together, while we’re really just a bunch of confused, coffee‑dependent, phone‑glued, algorithm‑chasing, self‑care‑buying, hiking‑with‑a‑nap‑afterwards people.
[Closing]
So thank you for being here tonight, for laughing with me, and for reminding me that we’re all in this crazy mess together. You’re the best audience a guy with a sunrise lamp and a phone named Gloria could ask for. Goodnight, everybody!
[Exit, waving]
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8 / 44
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
Gemma 3 12B
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MiniMax M2.5
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9 / 44
Satirical Fake News Headlineconversation
Tests an AI's humor and understanding of current events
Gemma 3 12B
No content available for this output.
MiniMax M2.5
No content available for this output.
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10 / 44
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
Gemma 3 12B
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MiniMax M2.5
No content available for this output.
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11 / 44
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
Gemma 3 12B
MiniMax M2.5
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12 / 44
Pokémon Battle UI Recreationweb design
Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.
Gemma 3 12B
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MiniMax M2.5
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12 of 44