CLEM Deal or No Deal: leaderboard
CLEM text release v3.0: models negotiate allocations of goods through conversation. 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: Estimated already saturated. 31 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.2 (High) | 99.12 | #110 (GPT-5.2) |
| 2 | GLM-4.7 | 87.75 | #192 |
| 3 | GPT-5.2 (Medium) | 87.34 | #110 (GPT-5.2) |
| 4 | Gemini 3 Flash (Preview) | 82.68 | #82 |
| 5 | Kimi K2.5 (Non-reasoning) | 78.59 | #144 (Kimi K2.5) |
| 6 | GLM-5 (Non-reasoning) | 72.53 | #141 (GLM-5) |
| 7 | Qwen 2.5 72B Instruct | 70.37 | #454 |
| 8 | GLM-4.6 | 67.36 | #252 |
| 9 | Kimi K2 (Thinking) | 62.85 | #243 (Kimi K2) |
| 10 | DeepSeek V3.2 (Non-reasoning) | 56.2 | #205 (DeepSeek V3.2) |
| 11 | MiniMax-M2.5 | 55.24 | #303 |
| 12 | DeepSeek V3.2 | 53.4 | #205 |
| 13 | Qwen 3 Max | 52.81 | #208 |
| 14 | GPT-OSS-120B | 45.05 | #341 |
| 15 | Llama 3.3 70B Instruct | 42.9 | #534 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=clem-deal-or-no-deal · How It Works · Data refreshed daily, snapshot 2026-10-20.