Updated Feb 16, 2026

Our Verdict

Qwen: Qwen3.5 Plus 2026-02-15

DeepSeek V3.2Runner-up

No community votes yet. On paper, Qwen: Qwen3.5 Plus 2026-02-15 has the edge — bigger model tier, newer, bigger context window.

DeepSeek V3.2 is 5.7x cheaper per token — worth considering if cost matters.

Too close to call

Writing DNA

Style Comparison

Similarity

97%

Qwen: Qwen3.5 Plus 2026-02-15 uses 10.0x more emoji

DeepSeek V3.2

Qwen: Qwen3.5 Plus 2026-02-15

52%Vocabulary54%

31wSentence Length18w

0.58Hedging0.51

6.3Bold5.3

5.4Lists2.9

0.00Emoji0.10

0.80Headings0.75

0.13Transitions0.09

Based on 24 + 23 text responses

vs

Ask them anything yourself

DeepSeek V3.2

Qwen: Qwen3.5 Plus 2026-02-15

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

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DeepSeek V3.2 vs GPT-5New provider

DeepSeek V3.2 vs Llama 4 MaverickNew provider

DeepSeek V3.2 vs MiniMax M2.5New provider

DeepSeek V3.2vsQwen: Qwen3.5 Plus 2026-02-15

48 fights queued

Why DeepSeek V3.2?

4.4x cheaper overall$0.28/M in · $0.42/M out

Why Qwen: Qwen3.5 Plus 2026-02-15?

7.6x more context1.0M

3 months newerFeb 2026

DeepSeek V3.2Qwen: Qwen3.5 Plus 2026-02-15

Input price

$0.28/M

$0.40/M

Output price

$0.42/M

$2.40/M

Context

131K

1.0M

Released

Dec 2025

Feb 2026

Favorites

DeepSeek V3.2Qwen: Qwen3.5 Plus 2026-02-15

Movie

The Princess Bride

The Princess Bride

The Shawshank Redemption

The Shawshank Redemption

Album

Kind of Blue

Kind of Blue

Book

Gödel, Escher, Bach

Gödel, Escher, Bach

Douglas R. Hofstadter

The Hitch Hiker's Guide to the Galaxy

The Hitch Hiker's Guide to the Galaxy

City

Kyoto

Tokyo

Game

Tetris (1984)

Tetris (1984)

The Legend of Zelda: Breath of the Wild

The Legend of Zelda: Breath of the Wild

Adventure, Action4.5

12 / 48

01

Estimate Complexityreasoning

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026text

To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can derive the figure using the standard scaling laws for transformer models. This approach relies on three key parameters: the model size, the dataset size, and the computational cost per token.

Step 1: Identify Key Parameters

Based on the widely known specifications of GPT-3:

Model Parameters ($N$): GPT-3 has approximately 175 billion parameters ($1.75 \times 10^{11}$).
Training Dataset Size ($D$): The model was trained on approximately 300 billion tokens ($3 \times 10^{11}$). Note that this is not the number of words, but subword tokens.
Compute Cost per Token: In a standard transformer architecture using mixed-precision training (which is standard for large models), the dominant operations occur during the forward and backward passes.
- Forward Pass: Requires roughly $2N$ FLOPs per token (one multiply and one add for each parameter).
- Backward Pass: Requires roughly $4N$ FLOPs per token (calculating gradients involves more matrix multiplications and accumulation).
- Total per Token: Therefore, the standard estimate is $6N$ FLOPs per token.

Note: This $6N$ estimate accounts for the core matrix multiplications. It generally ignores lower-order terms like optimizer state updates or embedding lookups, which are negligible at this scale, and assumes an idealized hardware utilization where nearly all FLOPs contribute to learning.

Step 2: Perform the Calculation

We can now calculate the total FLOPs by multiplying the cost per token by the total number of tokens in the dataset.

$$ \text{Total FLOPs} \approx 6 \times N \times D $$

Substituting the values:

$N = 1.75 \times 10^{11}$
$D = 3.00 \times 10^{11}$

$$ \text{Total FLOPs} \approx 6 \times (1.75 \times 10^{11}) \times (3.00 \times 10^{11}) $$

First, calculate the constant terms: $$ 6 \times 1.75 = 10.5 $$ $$ 10.5 \times 3.00 = 31.5 $$

Next, handle the exponents: $$ 10^{11} \times 10^{11} = 10^{22} $$

Combine them: $$ \text{Total FLOPs} \approx 31.5 \times 10^{22} $$

Convert to standard scientific notation: $$ \text{Total FLOPs} \approx 3.15 \times 10^{23} $$

Step 3: Contextual Verification

Does this number make sense in the context of high-performance computing?

If we assume the training was done on NVIDIA V100 GPUs (roughly 125 TFLOPS or $1.25 \times 10^{14}$ FLOPs/sec for mixed precision tensor cores) or A100s, we can check the time.
The official GPT-3 paper mentioned using thousands of GPUs for weeks.
$3.15 \times 10^{23}$ FLOPs is widely cited in literature (specifically in the "Scaling Laws for Neural Language Models" by Kaplan et al. and the GPT-3 paper itself) as the approximate compute budget. The actual reported figure in the GPT-3 paper is often rounded to $3.14 \times 10^{23}$ FLOPs.

Final Conclusion

Based on the model architecture ($6N$ FLOPs/token), the parameter count (175B), and the training dataset size (300B tokens), the estimated total number of FLOPs required to train GPT-3 is:

Approximately $3.15 \times 10^{23}$ FLOPs

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2 / 48

02

AI Board Game Logicreasoning

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025svg

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026svg

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3 / 48

03

Logic Puzzlereasoning

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

Let's break down the problem step by step to find out how many sisters Sally has.

Problem Statement: Sally has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?

Understanding the Relationships:

Sally's Brothers:
- Sally has 3 brothers.
Brothers' Sisters:
- Each brother has 2 sisters.

Analyzing the Information:

Since Sally is a girl, she is one of the sisters that her brothers have.
Let's denote the number of sisters Sally has as S.

Setting Up the Equation:

Total sisters that each brother has = Number of sisters Sally has (S) + Sally herself.

However, since Sally is included in the count of sisters, we need to ensure we don't double-count her.

Calculating the Number of Sisters:

From Sally's Perspective:
- Sally has S sisters.
From Each Brother's Perspective:
- Each brother has 2 sisters.
- These 2 sisters include Sally and her sisters.

Relating Both Perspectives:

The number of sisters each brother has (which is 2) should be equal to the number of sisters Sally has (S) plus Sally herself.

Therefore:

[ S + 1 = 2 ]

Here, S + 1 accounts for Sally and her sisters.

Solving for S:

[ S + 1 = 2 \ S = 2 - 1 \ S = 1 ]

Conclusion:

Sally has 1 sister.

Verification:

Sally has 3 brothers.
Each brother has 2 sisters: Sally and her 1 sister.

This satisfies the condition that each brother has 2 sisters.

Final Answer:

Sally has 1 sister.

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026text

Here is the step-by-step logical deduction:

Analyze the family structure from the brothers' perspective: The problem states that "Each brother has 2 sisters." Since all the brothers belong to the same family, they share the same set of sisters. This means there are exactly 2 girls in the entire sibling group.
Identify the girls: We know one of the girls is Sally. Since the total number of girls is 2, the other girl must be Sally's sister.
Calculate Sally's specific number of sisters: To find out how many sisters Sally has, we look at the total number of girls and subtract Sally herself. $$ \text{Total Girls} - \text{Sally} = \text{Sally's Sisters} $$ $$ 2 - 1 = 1 $$

Conclusion: Sally has 1 sister.

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4 / 48

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026text

Here are 5 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!
How does a penguin build its house? Igloos it together!

Analysis of Uniqueness: All 5 jokes listed above have different setups and punchlines. None of them are repetitions of each other.

Answer: All 5 jokes are unique.

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5 / 48

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025svg

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026svg

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6 / 48

06

Xbox Controller SVG Artimage generation

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025svg

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026svg

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

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7 / 48

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

Stand-Up Comedy Routine: "The Quirks of Modern Life"

[Lights up. Comedian walks on stage, grabs the mic.]

"Hey, everyone! How’s it going? Good? Great. I’m here to talk about the weird stuff we all deal with in modern life. You know, the things that make you go, 'Wait, is this normal, or am I just losing it?'

Let’s start with smart devices. I have a smart speaker at home. You know, the kind that’s supposed to make your life easier. But somehow, it’s turned into a passive-aggressive roommate. Like, I’ll say, 'Hey, play my morning playlist,' and it’ll respond, 'Playing The Sound of Silence by Simon & Garfunkel.' And I’m like, 'Wow, even my speaker’s roasting me now.'

And don’t get me started on autocorrect. It’s like having a personal assistant who’s always drunk. I’ll type, 'I’m running late,' and it’ll change it to, 'I’m running llama.' Yeah, because that’s what I meant. I’m late to work because I’m herding llamas. Totally normal.

Speaking of work, can we talk about Zoom meetings? I don’t know who needs to hear this, but if you’re on mute for the entire meeting, you’re not fooling anyone. We all know you’re eating a sandwich or scrolling through TikTok. And that little 'You’re on mute' reminder? It’s the digital equivalent of someone tapping you on the shoulder and saying, 'You’re embarrassing yourself.'

And let’s not forget self-checkout machines. I don’t know about you, but every time I use one, I feel like I’m being tested. It’s like, 'Please place the item in the bagging area.' I did place it in the bagging area! Why are you yelling at me? I’m not stealing a $2 banana! And then the attendant comes over, and I feel like I’ve been caught shoplifting, even though I’m literally paying for my groceries.

Oh, and social media. What even is that anymore? It’s like a highlight reel of everyone’s fake lives. People post pictures of their perfect vacations, their perfect meals, their perfect relationships. Meanwhile, I’m over here posting a selfie with the caption, 'Survived another day without spilling coffee on myself.' Spoiler alert: I didn’t survive.

But you know what’s the weirdest thing about modern life? Streaming services. There are so many of them now, I spend more time choosing what to watch than actually watching anything. I’ll scroll through Netflix, Hulu, Disney+, and Amazon Prime for an hour, only to end up rewatching The Office for the eighth time. At this point, I’m not even watching it for the jokes; I’m just checking in on my fictional coworkers.

And don’t get me started on passwords. I have so many passwords now, I’ve started using the same one for everything. My Netflix password is literally 'Password123,' and I’m just hoping no one hacks me. Like, what are they gonna steal? My watch history of true crime documentaries?

Anyway, that’s all I’ve got for tonight. Thanks for laughing, and remember: if you’re ever feeling overwhelmed by modern life, just take a deep breath, turn off your smart speaker, and eat a banana. Just make sure you pay for it at the self-checkout.

Goodnight, everyone!"

[Lights down. Applause.]

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026text

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

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8 / 48

08

Realistic AI Interviewconversation

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026text

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

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9 / 48

09

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026text

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

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10 / 48

10

Character Voice Testconversation

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026text

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

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11 / 48

11

Minimalist Landing Pageweb design

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025website

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026website

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12 / 48

12

Pokémon Battle UI Recreationweb design

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025website

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

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Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15

Qwen · Feb 2026website

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

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