Gemma 3 27B
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Gemma 3 27B vs Pony Alpha
Compare Gemma 3 27B by Google AI against Pony Alpha by OpenRouter, tested across 41 shared challenges. Updated February 2026.
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Gemma 3 27BvsPony Alpha
41 challenges
Why Gemma 3 27B?
No standout advantages
Why Pony Alpha?
11 months newerFeb 2026
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Gemma 3 27BPony Alpha
12 / 41
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
Pony Alpha
The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³ (or 315 zettaFLOPs). The reasoning follows these steps:
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Model size – GPT‑3 has 175 billion (175 × 10⁹) parameters. This is a well‑known figure from the original paper.
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Training data size – The model was trained on 300 billion (300 × 10⁹) tokens. The paper states that all models were trained for a total of 300 billion tokens.
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FLOPs per parameter per token – For a transformer model, the compute can be approximated by:
- Forward pass: each parameter is used in a multiply‑add operation, contributing about 2 FLOPs per token.
- Backward pass (gradient computation): roughly 4 FLOPs per parameter per token (two extra passes for gradients with respect to weights and inputs).
- Hence, training (forward + backward) requires about 6 FLOPs per parameter per token.
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Total FLOPs – Multiply the three numbers: [ \text{FLOPs} = 6 \times (175 \times 10^9) \times (300 \times 10^9) = 6 \times 175 \times 300 \times 10^{18} = 315,!000 \times 10^{18} = 3.15 \times 10^{23}. ]
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Consistency check – This estimate aligns with the reported compute of 3.14 × 10²³ FLOPs mentioned in OpenAI’s technical analysis, confirming its plausibility.
The calculation captures the dominant linear‑algebra operations; small additional costs (e.g., attention quadratic terms, layer norms) are negligible in comparison.
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2 / 41
AI Board Game Logicreasoning
Tests an AI's ability to understand game rules and strategy
Gemma 3 27B
No content available for this output.
Pony Alpha
No content available for this output.
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3 / 41
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
Gemma 3 27B
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Pony Alpha
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4 / 41
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
Gemma 3 27B
No content available for this output.
Pony Alpha
Here are 5 jokes:
- Why don't scientists trust atoms? Because they make up everything!
- I told my wife she was drawing her eyebrows too high. She looked surprised.
- What do you call a fake noodle? An impasta.
- Why did the scarecrow win an award? Because he was outstanding in his field.
- I'm reading a book about anti-gravity. It's impossible to put down.
There are 5 unique jokes.
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5 / 41
SVG Layout Challengeimage generation
Tests an AI's ability to generate vector graphics
Gemma 3 27B
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Pony Alpha
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6 / 41
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.
Pony Alpha
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7 / 41
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
Gemma 3 27B
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Pony Alpha
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8 / 41
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
Gemma 3 27B
No content available for this output.
Pony Alpha
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9 / 41
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
Gemma 3 27B
No content available for this output.
Pony Alpha
No content available for this output.
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10 / 41
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
Gemma 3 27B
Pony Alpha
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11 / 41
Pokémon Battle UI Recreationweb design
Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.
Gemma 3 27B
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Pony Alpha
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12 / 41
Mario Level UI Recreationweb design
Recreate an interactive, classic Mario level in a single HTML file.
Gemma 3 27B
Pony Alpha
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12 of 41