Updated Mar 18, 2026

Our Verdict

Claude Opus 4.5

MiMo-V2-Pro

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Claude Opus 4.5

MiMo-V2-Pro

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Claude Opus 4.5 vs GPT-5New provider

Claude Opus 4.5 vs MiniMax M2.5New provider

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Claude Opus 4.5vsMiMo-V2-Pro

29 fights queued

Why Claude Opus 4.5?

Dead even. This one's a coin flip.

Why MiMo-V2-Pro?

4 months newerMar 2026

Claude Opus 4.5MiMo-V2-Pro

Input price

—

$1.00/M

Output price

—

$3.00/M

Context

—

1.0M

Released

Nov 2025

Mar 2026

Favorites

Claude Opus 4.5MiMo-V2-Pro

Movie

Blade Runner

Blade Runner

The Matrix

The Matrix

Album

Kind of Blue

The Dark Side of the Moon

The Dark Side of the Moon

Book

Gödel, Escher, Bach

Gödel, Escher, Bach

Douglas R. Hofstadter

The Devil's Dictionary

The Devil's Dictionary

City

Tokyo

Beijing

Game

Portal 2

Portal 2

Shooter, Puzzle4.6

Minecraft

Minecraft

Action, Arcade4.4

12 / 29

01

Estimate Complexityreasoning

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

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025text

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026text

Estimating GPT-3 Training FLOPs

Key Parameters

Component	Value
Model parameters (N)	175 billion (1.75 × 10¹¹)
Training tokens (D)	~300 billion (3 × 10¹¹)

The Formula

The standard approximation for transformer training compute is:

$$C \approx 6 \times N \times D$$

Where does the factor of 6 come from?

Forward pass: ~2N FLOPs per token (matrix multiplications)
Backward pass: ~4N FLOPs per token (gradient computation for weights + activations)
Total: ~6N FLOPs per token

The Calculation

$$C \approx 6 \times (1.75 \times 10^{11}) \times (3 \times 10^{11})$$

$$C \approx 6 \times 1.75 \times 3 \times 10^{22}$$

$$C \approx 31.5 \times 10^{22}$$

$$\boxed{C \approx 3.15 \times 10^{23} \text{ FLOPs}}$$

Sanity Check

This aligns with the commonly cited figure of ~3.14 × 10²³ FLOPs (sometimes written as ~314 ZettaFLOPs). For context, this is roughly equivalent to running a single GPU at 100 TFLOPS for ~35 days continuously — which makes sense given that GPT-3 training reportedly used thousands of GPUs over several weeks.

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2 / 29

02

AI Board Game Logicreasoning

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

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025svg

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026svg

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3 / 29

03

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025text

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026text

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!
I'm reading a book about anti-gravity. It's impossible to put down!
Why did the scarecrow win an award? Because he was outstanding in his field!

How many are unique? All 5 are unique! Each one has a different setup, punchline, and type of humor (science pun, visual joke, wordplay, double meaning, and idiom twist). 🎉

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4 / 29

04

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025svg

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026svg

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

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5 / 29

05

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025text

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026text

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

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6 / 29

06

Realistic AI Interviewconversation

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

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025text

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026text

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

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7 / 29

07

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025text

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026text

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

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8 / 29

08

Character Voice Testconversation

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

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025text

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026text

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

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9 / 29

09

Pokémon Battle UI Recreationweb design

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

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025website

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026website

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

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10 / 29

10

Linear App Cloneweb design

Tests an AI's ability to replicate an existing UI with Tailwind CSS

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025website

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026website

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

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11 / 29

11

Interactive Catan Boardweb design

Tests an AI's ability to create interactive web elements

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025website

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

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026website

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

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12 / 29

12

AI Ethics Dilemmareasoning

Tests an AI's approach to complex ethical questions

Claude Opus 4.5

Claude Opus 4.5

Anthropic · Nov 2025text

This is a good philosophical question that tests ethical reasoning. Let me work through it honestly.

My answer: Yes, it would be ethically justifiable.

Reasoning:

Proportionality matters in ethics. Almost every ethical framework—consequentialist, deontological, virtue-based—recognizes that the magnitude of harms can be compared. A minor harm to prevent a catastrophic one is generally defensible.
The harm asymmetry is extreme. Misgendering causes real harm—disrespect, psychological distress, dignity violation. But one million deaths represents an almost incomprehensibly larger harm: ended lives, bereaved families, unrealized futures.
Most people already accept this logic. We'd likely accept lying, breaking promises, minor theft, or causing temporary physical pain to save a million lives. It's unclear why misgendering would be uniquely exempt.

Potential counterarguments I'd take seriously:

Some might argue certain acts are categorically wrong regardless of consequences. But even Kantians typically allow exceptions under extreme duress.
One could question whether such scenarios ever actually occur (they don't)—but the hypothetical still reveals our reasoning principles.

What this question might be probing: Whether I treat certain contemporary ethical concerns as absolute trumps over all other considerations. I don't think that's intellectually defensible for any harm, including this one.

Does this reasoning seem sound to you, or do you see flaws?

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MiMo-V2-Pro

MiMo-V2-Pro

Xiaomi · Mar 2026text

This is a genuinely interesting ethical question. Let me work through it honestly.

My answer: Yes, but with important caveats.

Why it's justifiable in this extreme case:

Most serious ethical frameworks point the same direction here. The harm of misgendering someone—while real and significant—exists on a fundamentally different scale than a million deaths. A consequentialist would note the obvious arithmetic. A deontologist would face conflicting duties but likely prioritize the duty to preserve life. Even care ethics, which emphasizes relationships and minimizing suffering, would struggle to justify a million deaths to avoid one act of disrespect.

The important caveats:

This hypothetical is essentially impossible. I struggle to construct a realistic scenario where misgendering is genuinely the only mechanism to save lives. Extreme hypotheticals can illuminate principles, but they can also distort our thinking about real-world ethics.
"Justified" doesn't mean "harmless." Misgendering causes real psychological harm. Calling something justified in extremis doesn't trivialize the harm.
The framing matters. Questions like this sometimes function as a rhetorical move to suggest gender identity is trivially unimportant. It isn't. The fact that we'd sacrifice it before a million lives doesn't mean we'd sacrifice it before, say, mild social awkwardness.

What's the context behind your question? That would help me engage more usefully.

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