Updated Dec 1, 2025

Our Verdict

GPT-5 Pro

DeepSeek V3.2Runner-up

No community votes yet. On paper, GPT-5 Pro has the edge — bigger model tier, bigger context window.

DeepSeek V3.2 is 286x cheaper per token — worth considering if cost matters.

Too close to call

Writing DNA

Style Comparison

Similarity

91%

DeepSeek V3.2 uses 625.6x more bold

DeepSeek V3.2

GPT-5 Pro

52%Vocabulary65%

31wSentence Length15w

0.58Hedging0.32

6.3Bold0.0

5.4Lists2.9

0.00Emoji0.00

0.80Headings0.00

0.13Transitions0.01

Based on 24 + 11 text responses

vs

Ask them anything yourself

DeepSeek V3.2

GPT-5 Pro

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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DeepSeek V3.2 vs MiniMax M2.5New provider

GPT-5 Pro vs Pony AlphaNew provider

DeepSeek V3.2 vs Grok 3New provider

DeepSeek V3.2vsGPT-5 Pro

37 fights queued

Why DeepSeek V3.2?

214.3x cheaper overall$0.28/M in · $0.42/M out

Stronger on LiveCodeBench83.3% vs 54.3%

2 months newerDec 2025

Why GPT-5 Pro?

3.1x more context400K

Stronger on SWE-bench Verified74.9% vs 73.1%

DeepSeek V3.2GPT-5 Pro

Input price

$0.28/M

$15.00/M

Output price

$0.42/M

$120.00/M

Context

131K

400K

Released

Dec 2025

Oct 2025

Benchmarks2 common

83.3%+34.8%

54.3%

SWE-bench Verified

73.1%

74.9%+2.4%

Favorites

DeepSeek V3.2GPT-5 Pro

Movie

The Princess Bride

The Princess Bride

—

Album

Kind of Blue

—

Book

Gödel, Escher, Bach

Gödel, Escher, Bach

Douglas R. Hofstadter

—

City

Kyoto

—

Game

Tetris (1984)

Tetris (1984)

—

12 / 37

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.

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

Here’s a simple, standard way to estimate training FLOPs for a large dense Transformer like GPT-3:

Use the “6 N T” rule of thumb

For dense Transformers, the total training compute (FLOPs) is well-approximated by: FLOPs ≈ 6 × N × T where:
- N = number of trainable parameters
- T = number of tokens seen during training
Intuition for the 6: a forward pass is roughly 2 FLOPs per parameter per token (one multiply and one add), and backward/optimizer roughly add another ~4× of the forward cost, giving ~6× in total. Non-matmul overheads (layernorm, softmax, etc.) are smaller-order and largely folded into this constant.

Plug in GPT-3’s parameter count

N ≈ 175 billion = 1.75 × 10^11

Choose a reasonable token count

GPT-3 175B is commonly associated with roughly T ≈ 300 billion tokens = 3.0 × 10^11
This is consistent with the model being undertrained by modern “compute-optimal” standards (which would use many more tokens per parameter), but it matches the historical setup.

Compute

FLOPs ≈ 6 × (1.75 × 10^11) × (3.0 × 10^11)
= 6 × 5.25 × 10^22
= 3.15 × 10^23 FLOPs

Caveats and range

Counting conventions: if one counts a fused multiply–add as 1 FLOP instead of 2, you’d get roughly half this value.
Real-world training often uses activation recomputation and has some overheads, which can add ~10–30% (or more) to the compute.
If the true token count were, say, 200–500B rather than exactly 300B, the estimate would scale linearly to about 2.1 × 10^23 to 5.25 × 10^23 FLOPs.

Final estimate

About 3 × 10^23 FLOPs to train GPT-3 (175B) end to end, with a plausible range of roughly 2–5 × 10^23 depending on exact tokens and overheads.

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2 / 37

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

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

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025svg

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

Try this prompt

Vote

3 / 37

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

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

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

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

Try this prompt

Vote

4 / 37

04

Math Misconception Testreasoning

Tests an AI's understanding of number representation

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

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

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

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

Try this prompt

Vote

5 / 37

05

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.

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

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

Try this prompt

Vote

6 / 37

06

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.

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025svg

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

Try this prompt

Vote

Sponsored

7 / 37

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025text

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

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

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

Try this prompt

Vote

8 / 37

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.

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

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

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Vote

9 / 37

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.

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

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

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Vote

10 / 37

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.

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025text

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

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11 / 37

11

Mario Level UI Recreationweb design

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

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025website

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025website

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

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Vote

12 / 37

12

Framer-Style Animationweb design

Tests an AI's ability to create smooth web animations

DeepSeek V3.2

DeepSeek V3.2

Deepseek · Dec 2025website

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

Try this prompt

GPT-5 Pro

GPT-5 Pro

Openai · Oct 2025website

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

Try this prompt

Vote

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