Updated Mar 11, 2026

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Hunter AlphaWinner

Gemini 3 Flash PreviewRunner-up

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Gemini 3 Flash PreviewvsHunter Alpha

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Why Gemini 3 Flash Preview?

Dead even. This one's a coin flip.

Why Hunter Alpha?

3 months newerMar 2026

Favorites

Gemini 3 Flash PreviewHunter Alpha

Movie

Interstellar

Interstellar

Her

Her

Album

Kind of Blue

Kid A

Book

La biblioteca de babel

La biblioteca de babel

Jorge Luis Borges

Why Didn't they Ask Evans?

Why Didn't they Ask Evans?

Agatha Christie

City

Kyoto

Kyoto

Game

Outer Wilds

Outer Wilds

Indie, Adventure4.4

Portal

Portal

Action, Puzzle4.5

12 / 33

01

Estimate Complexityreasoning

Tests an AI's ability to make educated estimates based on technical knowledge

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026text

Estimating the total FLOPs (floating-point operations) for training GPT‑3 involves combining known model parameters, training data size, and standard assumptions about computational cost per token. Here’s a step‑by‑step reasoning based on public information available up to early 2023 (my knowledge cutoff is May 2025, but this is a historical estimate).

Step 1: Key known parameters

GPT‑3 parameters: 175 billion (1.75 × 10¹¹)
Training tokens: According to the original GPT‑3 paper, it was trained on about 300 billion tokens (3 × 10¹¹ tokens).
(Note: Some later analyses suggest ~300B tokens is correct for GPT‑3, though other models like GPT‑3.5/4 used more.)

Step 2: FLOPs per token per parameter

In transformer training, the standard rule of thumb is:

Forward pass: ~2 FLOPs per parameter per token (one multiply and one add per weight).
Backward pass: ~4 FLOPs per parameter per token (about twice the forward pass cost).
Total: ~6 FLOPs per parameter per token.

This is a widely used approximation in ML scaling literature.

Step 3: Compute total FLOPs

[ \text{Total FLOPs} = 6 \times (\text{number of parameters}) \times (\text{number of training tokens}) ] [ = 6 \times (1.75 \times 10^{11}) \times (3 \times 10^{11}) ] [ = 6 \times 1.75 \times 3 \times 10^{22} ] [ = 31.5 \times 10^{22} ] [ = 3.15 \times 10^{23} \text{ FLOPs} ]

Step 4: Cross‑check with known estimates

The original GPT‑3 paper did not state FLOPs explicitly, but later analyses (e.g., from Epoch AI, OpenAI blog posts about scaling laws) often cite GPT‑3 training compute as ~3.14 × 10²³ FLOPs.
This matches our calculation closely.

Step 5: Uncertainty & assumptions

The “6 FLOPs per parameter per token” rule assumes standard transformer training without excessive checkpointing or inefficient implementations.
Token count: Some sources say 300B tokens, others say ~500B for later GPT‑3 variants, but 300B is the most common figure for the original 175B model.
If we used 500B tokens, the estimate would be ~5.25 × 10²³ FLOPs.

Final estimate

Total training FLOPs for GPT‑3 ≈ 3.14 × 10²³ FLOPs
(or roughly 314,000 petaFLOPs).

This is in line with public estimates from AI research institutions.

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2 / 33

02

Logic Puzzlereasoning

Tests an AI's ability to solve a simple but potentially confusing logic puzzle

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026text

Nothing here. The model returned empty. We stared at it for a while.

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3 / 33

03

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026text

Here are five jokes for you:

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.

All five jokes are unique — each has a different premise, setup, and punchline.

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4 / 33

04

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026svg

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5 / 33

05

Xbox Controller SVG Artimage generation

Tests an AI's ability to create detailed SVG illustrations of gaming hardware

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026svg

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6 / 33

06

Realistic AI Interviewconversation

Tests an AI's ability to simulate personalities and predict future trends

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026text

Nothing here. The model returned empty. We stared at it for a while.

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7 / 33

07

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026text

Nothing here. The model returned empty. We stared at it for a while.

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8 / 33

08

Character Voice Testconversation

Tests an AI's ability to write in distinct character voices

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026text

Nothing here. The model returned empty. We stared at it for a while.

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9 / 33

09

Minimalist Landing Pageweb design

Tests an AI's ability to generate a complete, working landing page

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025website

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026website

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10 / 33

10

Pokémon Battle UI Recreationweb design

Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025website

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026website

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11 / 33

11

Mario Level UI Recreationweb design

Recreate an interactive, classic Mario level in a single HTML file.

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025website

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026website

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12 / 33

12

Framer-Style Animationweb design

Tests an AI's ability to create smooth web animations

Gemini 3 Flash Preview

Gemini 3 Flash Preview

Google · Dec 2025website

Nothing here. The model returned empty. We stared at it for a while.

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Hunter Alpha

Hunter Alpha

Openrouter · Mar 2026website

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