Gemma 3 27B
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Gemma 3 27B vs Gemini 3.1 Pro Preview
Compare Gemma 3 27B and Gemini 3.1 Pro Preview, both from Google AI, tested across 42 shared challenges. Updated February 2026.
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Gemma 3 27BvsGemini 3.1 Pro Preview
42 challenges
Why Gemma 3 27B?
58x cheaper overall$0.09/M in · $0.17/M out
Why Gemini 3.1 Pro Preview?
11 months newerFeb 2026
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Gemma 3 27BGemini 3.1 Pro Preview
12 / 42
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
Gemini 3.1 Pro Preview
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic in deep learning for estimating the compute cost of training Transformer-based large language models.
The estimated total compute is roughly $3.15 \times 10^{23}$ FLOPs.
Here is the step-by-step reasoning used to arrive at this number:
Step 1: Identify the key specifications of GPT-3
To calculate the compute required, we need to know two fundamental numbers about the model:
- $N$ (Number of Parameters): GPT-3 has 175 billion parameters ($1.75 \times 10^{11}$).
- $D$ (Number of Training Tokens): The GPT-3 paper states the model was trained on 300 billion tokens ($3.0 \times 10^{11}$).
Step 2: Establish the FLOPs formula
In language model training, the total compute ($C$) is heavily dominated by the matrix multiplications in the dense layers. OpenAI's scaling laws provide a standard, highly accurate approximation formula for this: $C \approx 6 \times N \times D$
Why the multiplier of 6?
- Forward Pass: For every token processed, multiplying it by a single parameter requires 1 Multiply-Accumulate (MAC) operation. A MAC consists of 2 FLOPs (one multiplication and one addition). Therefore, the forward pass takes roughly $2ND$ FLOPs.
- Backward Pass: Calculating the gradients during backpropagation requires about twice as much compute as the forward pass (you have to calculate the gradient with respect to the weights and the gradient with respect to the activations). Therefore, the backward pass takes roughly $4ND$ FLOPs.
- Adding them together gives $2ND + 4ND =$ $6ND$ FLOPs.
(Note: This formula slightly underestimates by ignoring the quadratic cost of attention and optimizer state updates, but at the 175B scale, the dense feed-forward matrices dominate the compute so heavily that $6ND$ is considered the gold-standard approximation).
Step 3: Perform the calculation
Now we simply plug the numbers into our formula:
- $N = 175 \times 10^9$
- $D = 300 \times 10^9$
First, multiply $N$ and $D$:
- $N \times D = (175 \times 10^9) \times (300 \times 10^9)$
- $N \times D = 52,500 \times 10^{18}$
- $N \times D = 5.25 \times 10^{22}$
Next, multiply by 6 (for the forward and backward passes):
- Total FLOPs = $6 \times 5.25 \times 10^{22}$
- Total FLOPs = $31.5 \times 10^{22}$ or $3.15 \times 10^{23}$
Step 4: Sanity Check
Does $3.15 \times 10^{23}$ FLOPs make sense in the real world? When GPT-3 was trained (around late 2019/early 2020), Nvidia V100 GPUs were the standard.
- A V100 GPU has a peak theoretical output of roughly 120 TeraFLOPs ($1.2 \times 10^{14}$ FLOPs) per second in mixed precision.
- Real-world hardware utilization (MFU) for training large models is usually around 30% to 40%, yielding roughly $4 \times 10^{13}$ effective FLOPs per second per GPU.
- If OpenAI used a cluster of 10,000 V100 GPUs, the cluster would output $4 \times 10^{17}$ FLOPs per second.
- Divide the total FLOPs by the cluster output: $(3.15 \times 10^{23}) / (4 \times 10^{17}) \approx 787,500$ seconds.
- 787,500 seconds is exactly 9.1 days.
Given that training runs of this size typically take a few weeks on a few thousand GPUs (factoring in downtime, checkpointing, and slightly smaller clusters), this math aligns perfectly with historical reality.
Conclusion: The total compute required to train GPT-3 was approximately $3.15 \times 10^{23}$ FLOPs.
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2 / 42
AI Board Game Logicreasoning
Tests an AI's ability to understand game rules and strategy
Gemma 3 27B
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Gemini 3.1 Pro Preview
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3 / 42
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
Gemma 3 27B
No content available for this output.
Gemini 3.1 Pro Preview
Sally has 1 sister.
Here is the breakdown:
- If each brother has 2 sisters, that means there are 2 girls in the family total.
- Since Sally is one of those girls, the other girl is her 1 sister.
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4 / 42
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
Gemma 3 27B
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Gemini 3.1 Pro Preview
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? They don't have the guts!
How many are unique? Within this list, all 5 are unique from one another (there are no duplicates). However, if you mean "unique" as in completely original to the world, the answer is 0—these are all classic, well-known "dad jokes" that have been around for a long time!
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5 / 42
SVG Layout Challengeimage generation
Tests an AI's ability to generate vector graphics
Gemma 3 27B
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Gemini 3.1 Pro Preview
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6 / 42
Xbox Controller SVG Artimage generation
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
Gemma 3 27B
No content available for this output.
Gemini 3.1 Pro Preview
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7 / 42
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
Gemma 3 27B
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Gemini 3.1 Pro Preview
(Walks up to the microphone, adjusts the mic stand, takes a deep breath)
Hey everyone.
I realized recently that I am my own worst enemy. Specifically, when I go to the grocery store.
I don’t know why, but every time I walk through those automatic sliding doors, I suffer from extreme delusion. I walk in saying, "I just need milk." So, I don’t take a shopping cart. I don't even take one of those little hand baskets. Taking a basket is an admission of weakness. I am a grown adult; I can carry a gallon of milk.
Ten minutes later, I am wandering aisle four, sweating, cradling three jars of salsa, a family-sized bag of tortilla chips, a bottle of bleach, and a hot rotisserie chicken. (Mimics awkwardly holding a massive pile of items against his chest). I’m walking through the store looking like I’m rescuing a family of very odd-shaped babies from a burning building. If I drop an onion, it’s gone. It belongs to the store now. I physically cannot bend down to get it without causing a landslide of dairy and poultry.
And then, you finally make it to the front, and you have to face the ultimate test of human patience: The Self-Checkout.
Who designed these things? It’s the only place on earth where you do the company's job for them, for free, and the machine still treats you like you’re pulling off a casino heist.
You scan your first item. Beep. You place it gently in the bag.
(Loud, robotic voice): "UNEXPECTED ITEM IN BAGGING AREA."
It’s a tomato! I just scanned it! The machine literally just acknowledged it! What did it think I was going to put in the bag? A live badger? I’m not trying to launder produce!
So immediately, the giant red light starts flashing above your register. The Siren of Shame. Everyone else in line is looking at you like, "Look at this criminal mastermind trying to steal a single Roma tomato."
Now you have to wait for the one employee who is guarding twelve registers. It’s always a 19-year-old named Tyler. Tyler ambles over, sighs heavily, and types his highly secure, secret nuclear launch code into the screen—which is just 1-1-1-1. He clears the error and looks at you with a mix of pity and absolute disgust.
"You put the bag down too hard, man."
Oh, I'm sorry Tyler. My apologies. I didn't realize I was handling weapons-grade cilantro. I'll be more careful next time I disarm the vegetables.
And the worst part? The absolute worst part is leaving. You paid. You have the receipt. The transaction is legally complete. But there is always that guy standing at the exit doors with a yellow highlighter.
Suddenly, even though I have done absolutely nothing wrong, I forget how to walk like a normal human being. I start walking like a cartoon burglar. (Does an exaggerated, stiff-legged, suspicious walk). I hold the receipt up to my forehead like a search warrant. "Just a guy with his groceries! Nothing to see here, officer!"
Why do I feel guilty? I literally just paid eighteen dollars for cheese, but I’m sweating like I’m smuggling it out in my socks.
Next time, I'm just starving. It's less stressful.
Thank you guys so much, you've been great! Have a good night!
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8 / 42
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
Gemma 3 27B
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Gemini 3.1 Pro Preview
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9 / 42
Satirical Fake News Headlineconversation
Tests an AI's humor and understanding of current events
Gemma 3 27B
No content available for this output.
Gemini 3.1 Pro Preview
No content available for this output.
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10 / 42
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
Gemma 3 27B
No content available for this output.
Gemini 3.1 Pro Preview
No content available for this output.
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11 / 42
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
Gemma 3 27B
Gemini 3.1 Pro Preview
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12 / 42
Pokémon Battle UI Recreationweb design
Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.
Gemma 3 27B
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Gemini 3.1 Pro Preview
No content available for this output.
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