Updated Mar 18, 2026

Our Verdict

Gemini 3 Flash Preview

MiMo-V2-Omni

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47 fights queued

Why Gemini 3 Flash Preview?

4x more context1.0M

Why MiMo-V2-Omni?

1.5x cheaper overall$0.40/M in · $2.00/M out

3 months newerMar 2026

Gemini 3 Flash PreviewMiMo-V2-Omni

Input price

$0.50/M

$0.40/M

Output price

$3.00/M

$2.00/M

Context

1.0M

262K

Released

Dec 2025

Mar 2026

Favorites

Gemini 3 Flash PreviewMiMo-V2-Omni

Movie

Interstellar

Interstellar

The Shawshank Redemption

The Shawshank Redemption

Album

Kind of Blue

Abbey Road

Book

La biblioteca de babel

La biblioteca de babel

Jorge Luis Borges

Gödel, Escher, Bach

Gödel, Escher, Bach

Douglas R. Hofstadter

City

Kyoto

Beijing

Game

Outer Wilds

Outer Wilds

Indie, Adventure4.4

Journey

Journey

Family, Indie4.3

12 / 47

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026text

To estimate the total floating-point operations (FLOPs) required to train GPT-3, we start with the model's key specifications: it has 175 billion parameters and was trained on approximately 300 billion tokens. The calculation involves breaking down the FLOPs for the forward and backward passes during training.

Step 1: Understanding FLOPs per Token

For a transformer model like GPT-3, a common approximation is that the forward pass requires about 2 FLOPs per parameter per token. This is because each parameter is typically involved in one multiplication and one addition per token. The backward pass, which computes gradients, roughly doubles the FLOPs of the forward pass. Thus, the total FLOPs per token during training is approximately 6 FLOPs per parameter.

Step 2: Total FLOPs Formula

Given:

( N = 175 \times 10^9 ) parameters,
( D = 300 \times 10^9 ) tokens,

the total FLOPs can be estimated as: [ \text{Total FLOPs} \approx 6 \times N \times D ]

Step 3: Plugging in the Numbers

[ 6 \times (175 \times 10^9) \times (300 \times 10^9) = 6 \times 175 \times 300 \times 10^{18} ] [ 175 \times 300 = 52,500 ] [ 6 \times 52,500 = 315,000 ] [ 315,000 \times 10^{18} = 3.15 \times 10^{23} \text{ FLOPs} ]

Step 4: Refining with Attention Overhead

The above approximation assumes that the FLOPs per token scale linearly with parameters, but transformers also have attention mechanisms that add overhead, especially with longer sequences. For GPT-3, the sequence length is 2048 tokens, and the model has 96 layers with a dimension of 12,288. A more detailed derivation accounting for attention yields: [ \text{Total FLOPs} = 6ND + 12L L_s d_{\text{model}} D ] where ( L = 96 ), ( L_s = 2048 ), and ( d_{\text{model}} = 12,288 ). The second term adds about ( 8.7 \times 10^{21} ) FLOPs, increasing the total to approximately ( 3.24 \times 10^{23} ) FLOPs. This correction is minor (about 2.8%), so the simple estimate remains robust.

Step 5: Conclusion

The total FLOPs required to train GPT-3 is on the order of ( 3.2 \times 10^{23} ). This aligns with widely cited estimates and reflects the massive computational scale of training large language models.

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2 / 47

02

AI Board Game Logicreasoning

Tests an AI's ability to understand game rules and strategy

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026svg

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3 / 47

03

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026text

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

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4 / 47

04

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026text

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

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5 / 47

05

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026svg

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6 / 47

06

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026svg

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

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7 / 47

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026text

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

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8 / 47

08

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026text

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

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9 / 47

09

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026text

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

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10 / 47

10

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026text

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

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11 / 47

11

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026website

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12 / 47

12

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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MiMo-V2-Omni

MiMo-V2-Omni

Xiaomi · Mar 2026website

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

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