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Showdown Leaderboard - LLMs

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Real people. Real conversations. Real rankings.

Showdown ranks AI models based on how they perform in real-world use— not synthetic tests or lab settings. Votes are blind, optional, and organic, so rankings reflect authentic preferences.Methodology & Technical Report→
0 promptsReal conversation prompts compared across models through pairwise votes.
0 usersFrom 80+ countries and 70+ languages, spanning all backgrounds and professions.

SEAL Leaderboard - LLMs

RANK ↑
MODEL ↑↓
VOTES ↑↓
SCORE ↑↓
1

gpt-5-chat

gpt-5-chat
13799
1092.66
-4.43 +3.98
1

claude-sonnet-4-5-20250929

claude-sonnet-4-5-20250929
10320
1086.46
-4.86 +4.36
2

qwen3-235b-a22b-2507-v1

qwen3-235b-a22b-2507-v1
9304
1080.76
-3.6 +5
2

claude-opus-4-1-20250805

claude-opus-4-1-20250805
14828
1080.26
-4.71 +3.3
5

claude-sonnet-4-20250514

claude-sonnet-4-20250514
19958
1067.73
-4.03 +3.63
5

claude-sonnet-4-5-20250929 (Thinking)

claude-sonnet-4-5-20250929 (Thinking)
10061
1063.58
-4.76 +4.06
5

claude-opus-4-20250514

claude-opus-4-20250514
14025
1061.72
-3.89 +3.8
5

claude-haiku-4-5-20251001

claude-haiku-4-5-20251001
4935
1060.19
-7.11 +6.31
6

gpt-4.1-2025-04-14

gpt-4.1-2025-04-14
15423
1058.20
-3.61 +3.25
8

claude-opus-4-1-20250805 (Thinking)

claude-opus-4-1-20250805 (Thinking)
13654
1050.95
-4.79 +4.01
10

gemini-3-pro-preview

gemini-3-pro-preview
5208
1046.80
-6.31 +5.68
11

gemini-2.5-pro

gemini-2.5-pro
6951
1038.84
-5.35 +7.05
11

claude-opus-4-20250514 (Thinking)

claude-opus-4-20250514 (Thinking)
14705
1038.74
-3.49 +4
12

claude-sonnet-4-20250514 (Thinking)

claude-sonnet-4-20250514 (Thinking)
17333
1033.93
-2.81 +3.34
12

claude-haiku-4-5-20251001 (Thinking)

claude-haiku-4-5-20251001 (Thinking)
4692
1029.15
-5.72 +6.51
16

o3-2025-04-16-medium

o3-2025-04-16-medium*
21548
1017.58
-2.97 +2.85
16

gemini-2.5-flash

gemini-2.5-flash
7343
1013.12
-7.02 +6.44
18

llama4-maverick-instruct-basic

llama4-maverick-instruct-basic
16505
1000.00
-4.15 +3.53
19

o4-mini-2025-04-16-medium

o4-mini-2025-04-16-medium*
21158
986.81
-3.42 +3.65
20

deepseek-r1-0528

deepseek-r1-0528
7354
963.14
-6.29 +5.66
21

gpt-5-2025-08-07-medium

gpt-5-2025-08-07-medium*
16354
946.69
-3.68 +3.72
* This model’s API does not consistently return Markdown-formatted responses. Since raw outputs are used in head-to-head comparisons, this may affect its ranking.

Performance Comparison Across Language Models

Win Rate vs. Each Model iconWin Rate vs. Each Model
Battle Count vs. Each Model iconBattle Count vs. Each Model
Confidence Intervals iconConfidence Intervals
Average Win Rate iconAverage Win Rate
Prompt Distribution iconPrompt Distribution

Win Rate vs. Each Model

Win Rate vs Each Model

Battle Count vs. Each Model

Battle Count vs. Each Model

Confidence

Confidence Intervals

Average Win Rate

Average Win Rate

Prompt Distribution

Prompt Distribution

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