CLEM Wordle: leaderboard

CLEM text release v3.0: models guess a hidden word with structured feedback. Scores combine protocol-valid play and conditional task quality, higher is better. Headline preserves the native published product of macro-average played percentage and macro-average conditional quality; per-game scores multiply source-published played and quality components without extra rounding. Source temperature, player configuration and exact evidenced model/checkpoint settings are retained. Undefined conditional quality remains missing rather than imputed zero.

Metric: Game Clemscore (%), text v3.0; published played × quality / 100. Source: huggingface.co. Saturation forecast: Around January 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Kimi K2 (Thinking)73#243 (Kimi K2)
2GPT-5.2 (High)69#110 (GPT-5.2)
3Gemini 3 Flash (Preview)60#82
4GLM-4.756#192
5GPT-5.2 (Medium)53#110 (GPT-5.2)
6DeepSeek V3.246.33#205
7GPT-OSS-20B44#518
8GPT-OSS-120B41.67#341
9Kimi K2.5 (Non-reasoning)41#144 (Kimi K2.5)
10GLM-4.635#252
11DeepSeek V3.2 (Non-reasoning)30#205 (DeepSeek V3.2)
12Qwen 3 Max24.67#208
13GLM-5 (Non-reasoning)24#141 (GLM-5)
14MiniMax-M2.515#303
15Mistral Large 314.34#401

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=clem-wordle · How It Works · Data refreshed daily, snapshot 2026-10-20.