CLEM Leaderboard: leaderboard

Conversational games benchmark for chat-optimized LLMs. CLEM combines whether models successfully play each dialogue game with the quality of their play across reference games, word games, negotiation, navigation, and collaborative tasks.

Metric: Clemscore (%), text v3.0. Source: huggingface.co. 31 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.2 (High)84.19#110 (GPT-5.2)
2Gemini 3 Flash (Preview)84.03#82
3GPT-5.2 (Medium)79.61#110 (GPT-5.2)
4GLM-4.778.05#192
5Kimi K2 (Thinking)77.79#243 (Kimi K2)
6GLM-4.663.91#252
7Kimi K2.5 (Non-reasoning)60.28#144 (Kimi K2.5)
8Qwen 3 Max59.66#208
9DeepSeek V3.259.61#205
10GLM-5 (Non-reasoning)58.68#141 (GLM-5)
11MiniMax-M2.555.68#303
12DeepSeek V3.2 (Non-reasoning)52.94#205 (DeepSeek V3.2)
13Llama 3.3 70B Instruct50#534
14Qwen 2.5 72B Instruct48.07#454
15Llama 3.1 70B Instruct46.8#561

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

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