Updated Feb 17, 2026

Our Verdict

Claude Sonnet 4.6

DeepSeek R1 0528

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

Too close to call

Writing DNA

Style Comparison

Similarity

75%

Claude Sonnet 4.6 uses 19.1x more emoji

Claude Sonnet 4.6

DeepSeek R1 0528

56%Vocabulary64%

36wSentence Length10w

0.53Hedging0.30

5.1Bold6.8

3.4Lists4.9

0.19Emoji0.00

2.10Headings0.40

0.02Transitions0.00

Based on 23 + 4 text responses

vs

Ask them anything yourself

Claude Sonnet 4.6

DeepSeek R1 0528

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 R1 0528 vs MiniMax M2.5New provider

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Claude Sonnet 4.6vsDeepSeek R1 0528

48 fights queued

Why Claude Sonnet 4.6?

6.1x more context1.0M

Leads 1 of 1 benchmarks

Stronger on SWE-bench Verified79.0% vs 57.6%

9 months newerFeb 2026

Why DeepSeek R1 0528?

Dead even. This one's a coin flip.

Claude Sonnet 4.6DeepSeek R1 0528

Input price

$3.00/M

$0.000/M

Output price

$15.00/M

$0.000/M

Context

1.0M

164K

Released

Feb 2026

May 2025

Benchmarks1 common

SWE-bench Verified

79.0%+27.1%

57.6%

Favorites

Claude Sonnet 4.6DeepSeek R1 0528

Movie

2001: A Space Odyssey

2001: A Space Odyssey

—

Album

Kind of Blue

—

Book

Middlemarch

Middlemarch

—

City

Kyoto

—

Game

The Legend of Zelda: Ocarina of Time

The Legend of Zelda: Ocarina of Time

Adventure, Action4.4

—

12 / 48

01

Estimate Complexityreasoning

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026text

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

Try this prompt

DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025text

To estimate the total number of FLOPs required to train GPT-3, we use the standard formula for transformer model training FLOPs:

Total FLOPs ≈ 6 × (number of parameters) × (number of tokens in the training dataset)

Step-by-Step Reasoning:

Model Parameters (N):
- GPT-3 has 175 billion parameters, so ( N = 175 \times 10^9 ).
Training Tokens (T):
- GPT-3 was trained on approximately 300 billion tokens, so ( T = 300 \times 10^9 ).
FLOPs per Parameter-Token:
- Forward pass: Each token requires ~2 FLOPs per parameter (due to matrix multiplications involving multiply-add operations, counted as 2 FLOPs).
- Backward pass: Gradient computation typically requires ~4 FLOPs per parameter (twice the cost of the forward pass for gradient calculations).
- Total per parameter-token: ( 2 , \text{(forward)} + 4 , \text{(backward)} = 6 , \text{FLOPs} ).
Calculation: [ \text{Total FLOPs} = 6 \times (175 \times 10^9) \times (300 \times 10^9) ]
- First, multiply the parameters and tokens: [ 175 \times 10^9 \times 300 \times 10^9 = 52,500 \times 10^{18} = 5.25 \times 10^{22} ]
- Then multiply by 6: [ 6 \times 5.25 \times 10^{22} = 31.5 \times 10^{22} = 3.15 \times 10^{23} ]

Final Estimate:

[ \boxed{3.15 \times 10^{23}} , \text{FLOPs} ]

Notes:

This formula ((6 \times N \times T)) is a widely accepted heuristic for transformer models.
The estimate assumes one full training epoch (no repeated tokens).
Additional overhead (e.g., optimizer steps, activations) is negligible compared to the dominant matrix operations, so it is omitted.
GPT-3 specifics: Parameters = 175B, Tokens = 300B.

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2 / 48

02

AI Board Game Logicreasoning

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026svg

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025svg

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3 / 48

03

Logic Puzzlereasoning

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026text

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

Try this prompt

DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025text

Sally has 3 brothers, meaning there are 3 male siblings in the family.
Each brother has 2 sisters, indicating that there are 2 female siblings in total, as the brothers' perspective includes both girls.
Since Sally is one of the girls, there is one other sister.
Therefore, from Sally's perspective, she has 1 sister.

\boxed{1}

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4 / 48

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026text

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025text

Here are 5 jokes, followed by an assessment of uniqueness:

Joke 1: Why don't scientists trust atoms? Because they make up everything!
Joke 2: What do you call a fake noodle? An impasta!
Joke 3: Why did the scarecrow win an award? Because he was outstanding in his field!
Joke 4: Why don't skeletons fight each other? They don't have the guts.
Joke 5: What do you call a bear with no teeth? A gummy bear!

Uniqueness Check:

All 5 jokes are distinct in theme, punchline, and structure. No duplicates exist.

Final Count: 5 unique jokes (out of 5).

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5 / 48

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026svg

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025svg

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

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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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026svg

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025svg

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

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Sponsored

7 / 48

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026text

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025text

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026text

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025text

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026text

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025text

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026text

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025text

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026website

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025website

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12 / 48

12

Pokémon Battle UI Recreationweb design

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

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic · Feb 2026website

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

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DeepSeek R1 0528

DeepSeek R1 0528

Deepseek · May 2025website

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

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