Updated Jan 27, 2026

Our Verdict

GLM 4.7 Flash

GPT-4o (Omni)

No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.

GLM 4.7 Flash is 25x cheaper per token — worth considering if cost matters.

Too close to call

Writing DNA

Style Comparison

Similarity

79%

GPT-4o (Omni) uses 2.5x more emoji

GLM 4.7 Flash

GPT-4o (Omni)

52%Vocabulary54%

15wSentence Length18w

0.33Hedging0.72

5.8Bold7.3

4.7Lists5.6

0.00Emoji0.03

0.68Headings1.40

0.13Transitions0.26

Based on 19 + 24 text responses

vs

Ask them anything yourself

GLM 4.7 Flash

GPT-4o (Omni)

279 AI models invented the same fake scientist.

We read every word. 250 models. 2.14 million words. This is what we found.

AI Hallucination Index 2026

Free preview13 of 58 slides

Download the free preview or get all 58 slides for $49

FAQ

Common questions

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GLM 4.7 Flash vs Llama 4 MaverickNew provider

GLM 4.7 Flash vs GPT-5Cross-provider

GLM 4.7 Flash vs Grok 3New provider

GLM 4.7 FlashvsGPT-4o (Omni)

47 fights queued

Why GLM 4.7 Flash?

26.1x cheaper overall$0.07/M in · $0.40/M out

1.6x more context200K

21 months newerJan 2026

Why GPT-4o (Omni)?

Dead even. This one's a coin flip.

GLM 4.7 FlashGPT-4o (Omni)

Input price

$0.07/M

$2.50/M

Output price

$0.40/M

$10.00/M

Context

200K

128K

Released

Jan 2026

May 2024

Favorites

GLM 4.7 FlashGPT-4o (Omni)

Movie

—

Inception

Inception

Album

—

Dark Side Of The Moon

Dark Side Of The Moon

Book

—

To Kill a Mockingbird

To Kill a Mockingbird

City

—

Kyoto

Game

—

The Legend of Zelda: Breath of the Wild

The Legend of Zelda: Breath of the Wild

Adventure, Action4.5

12 / 47

01

Estimate Complexityreasoning

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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026text

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

Try this prompt

GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024text

To estimate the total number of FLOPs required to train GPT-3, let's break it down into key components.

1. Model Size and Parameters

GPT-3 has 175 billion parameters.

2. FLOPs per Forward and Backward Pass

In deep learning, the FLOPs required for a forward pass and backward pass are estimated as:

Forward pass: ( 2 imes ) the number of parameters
Backward pass: ( 2 imes ) the FLOPs of the forward pass

Thus, total FLOPs per training step:

[ ext{Total FLOPs per step} = 6 imes ext{number of parameters} imes ext{tokens per batch} ]

For GPT-3, let's assume 175B parameters and a batch size of 2048 tokens (common for large-scale training).

[ ext{FLOPs per training step} = 6 imes 175 imes 10^9 imes 2048 ]

[ = 2.15 imes 10^{15} ext{ FLOPs per step} ]

3. Total Training Steps

GPT-3 was trained with 300 billion tokens (as per OpenAI's paper).

If the batch size is 2048 tokens, the total number of steps is:

[ ext{Total steps} = rac{300 imes 10^9}{2048} approx 1.46 imes 10^8 ]

4. Total FLOPs Required

Multiplying the FLOPs per step by the total number of steps:

[ ext{Total FLOPs} = (2.15 imes 10^{15}) imes (1.46 imes 10^8) ]

[ approx 3.14 imes 10^{23} ext{ FLOPs} ]

Final Answer:

The estimated total number of FLOPs required to train GPT-3 is about ( 3.14 imes 10^{23} ) floating point operations.

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2 / 47

02

AI Board Game Logicreasoning

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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026svg

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

Try this prompt

GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024svg

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

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3 / 47

03

Logic Puzzlereasoning

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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026text

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

Try this prompt

GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024text

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

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Vote

4 / 47

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026text

Here are 5 jokes:

I’m on a whiskey diet. I’ve lost three days already.
My wife told me to stop impersonating a flamingo. I had to put my foot down.
I used to hate facial hair, but then it grew on me.
What do you call a pile of cats? A meow-tain.
I’m reading a book on anti-gravity. It’s impossible to put down!

All 5 of these jokes are unique to the list provided (none are repeats). However, they are all classic, well-known jokes

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GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024text

Here are five jokes for you:

Why did the scarecrow win an award?
Because he was outstanding in his field!
Why don’t skeletons fight each other?
They don’t have the guts!
Why did the math book look sad?
It had too many problems.
Why don’t eggs tell jokes?
Because they might crack up!
What did one ocean say to the other ocean?
Nothing, they just waved.

Now, let's check how many of these jokes are unique. I'll analyze them for similarity.

from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.metrics.pairwise import cosine_similarity

List of jokes

jokes = [ "Why did the scarecrow win an award? Because he was outstanding in his field!", "Why don’t skeletons fight each other? They don’t have the guts!", "Why did the math book look sad? It had too many problems.", "Why don’t eggs tell jokes? Because they might crack up!", "What did one ocean say to the other ocean? Nothing, they just waved." ]

Vectorize the jokes

vectorizer = TfidfVectorizer().fit_transform(jokes) similarity_matrix = cosine_similarity(vectorizer)

Count unique jokes (jokes with low similarity to others)

unique_jokes = set() threshold = 0.5 # Define similarity threshold

for i in range(len(jokes)): is_unique = True for j in range(len(jokes)): if i != j and similarity_matrix[i, j] > threshold: is_unique = False break if is_unique: unique_jokes.add(jokes[i])

Count unique jokes

num_unique_jokes = len(unique_jokes) num_unique_jokes

All 5 jokes are unique! None of them are too similar to each other. 🎉

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5 / 47

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026svg

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GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024svg

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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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026svg

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GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024svg

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Sponsored

7 / 47

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026text

I feel like I’m constantly at war with myself. Specifically, the war between the person I want to be—which is a lean, green, jogging machine—and the person I actually am, which is a potato sitting on the couch.

I go to the grocery store with a mission statement. I write it down. I have a list. "Kale," "Quinoa," "Almond Milk." I feel like a Spartan general preparing for a siege. I walk in with confidence. I’m going to buy healthy food, cook a delicious dinner, and feel virtuous.

By the time I get to the checkout, my hands are clutching a family-sized bag of Cheetos and a rotisserie chicken that was probably cooked in the parking lot.

It’s the packaging, man. It is psychological warfare. You see a box that says "Smartfood." That sounds like something a genius would eat. But it’s just popcorn with too much salt. And "Reduced Fat." If it’s reduced fat, they didn’t take the fat out. They just took the flavor out and put the fat back in. That’s just how physics works.

And then there’s the produce section. I look at a head of romaine lettuce for four dollars, and I look at the frozen pizza for six dollars. I’m not buying food; I’m buying expensive water. I’m basically paying for a salad to remind myself how broke I am.

But you know what? I’ve stopped lying to myself. I tried to be healthy last week. I did a "detox." All I did was drink lemon water and stare at a wall for three hours.

I realized that being an adult isn’t about eating kale. Being an adult is realizing that french fries taste better than the way you look in a swimsuit. And that is the only victory that matters.

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GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024text

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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026text

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

Try this prompt

GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024text

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

Try this prompt

Vote

9 / 47

09

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026text

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

Try this prompt

GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024text

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

Try this prompt

Vote

10 / 47

10

Character Voice Testconversation

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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026text

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

Try this prompt

GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024text

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

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Vote

11 / 47

11

Minimalist Landing Pageweb design

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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026website

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GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024website

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12 / 47

12

Pokémon Battle UI Recreationweb design

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

GLM 4.7 Flash

GLM 4.7 Flash

Zhipu · Jan 2026website

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GPT-4o (Omni)

GPT-4o (Omni)

Openai · May 2024website

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

Try this prompt

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