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
| # | Model | Score |
|---|
| 1 | IInkling Small | 76 |
| 2 | MMercury 2.5 | 72 |
| 3 | Grok 4.5 | 72 |
| 4 | Haiku 5.5 | 72 |
| 5 | DeepSeek V4 (0813) | 72 |
| 6 | Gemini 3.1 Pro | 71 |
| 7 | GPT-6 Sol Pro | 71 |
| 8 | DeepSeek V4 | 69 |
| 9 | Grok 4.6 | 69 |
| 10 | GPT-6.1 Sol Pro | 69 |
| 11 | GPT-5.6 Sol | 69 |
| 12 | Sonnet 5.5 | 68 |
| 13 | GPT-5.6 Terra | 67 |
| 14 | GPT-6 Luna Pro | 65 |
| 15 | NNemotron 3.5 Lightning | 65 |
| 16 | GLM-5.3 Prime | 64 |
| 17 | MiniMax M3 | 64 |
| 18 | Kimi K2.6 | 63 |
| 19 | GPT-5.6 Luna | 63 |
| 20 | GPT-6 Sol | 63 |