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Benchmarks/slop-index

The Slop Index

2026-10-28 · Docs and copy

What it measures
How chatbot-like a model's writing is across email, blog/essays, tweets, and Discord chat. Higher scores mean less chatbot-like writing.
How
Slashy's The Slop Index. Fifty-eight frontier models, 112 scenarios in four domains, compared with pre-2022 human writing. The blend is a live blind arena (40%) plus conciseness, templating, rhythm, and AI tells (15% each). The source Slop Score is 0–100, higher = worse, #1 = sloppiest; this site inverts so least slop is #1 and stores 100 − Slop Score. Open data is on GitHub.
What the score means
This site's score is 100 − the source Slop Score; higher is more human-like. The source ranks the highest slop as #1; ranks here are inverted so least slop is #1. Composite uses the pass-rate ratio to the leader.
Caveats
Arena votes are still accumulating, so the live Elo moves. Mechanical axes are normalized within this board. It does not measure code or UI quality.
Updates
Source https://theslopindex.com/leaderboard ; open data https://github.com/hgaddipati1118/slop-index . This page fetched all 58 rows on 2026-10-28 (2,170 votes then). After inversion Inkling Small leads (100 − 24 = 76); Haiku 5.5 is about 4th in a tied band.

Full board

58

#ModelScore
1IInkling Small76
2MMercury 2.572
3Grok 4.572
4Haiku 5.572
5DeepSeek V4 (0813)72
6Gemini 3.1 Pro71
7GPT-6 Sol Pro71
8DeepSeek V469
9Grok 4.669
10GPT-6.1 Sol Pro69
11GPT-5.6 Sol69
12Sonnet 5.568
13GPT-5.6 Terra67
14GPT-6 Luna Pro65
15NNemotron 3.5 Lightning65
16GLM-5.3 Prime64
17MiniMax M364
18Kimi K2.663
19GPT-5.6 Luna63
20GPT-6 Sol63

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