IMO-AnswerBench
18 models
Top 5 Models Performance
| Z.ai: GLM 5.2 | ######################################## | 91 |
| DeepSeek: deepseek-v4-pro-0813 | ####################################### | 89.8 |
| Yandex: aliceai-foundation-80b-a3b-base | ####################################### | 88.7 |
| Anthropic: claude-opus-4.5 | ##################################### | 84 |
| inclusionAI: ling-3.0-flash | ##################################### | 83.7 |
| Rank | Model | Score | |
|---|---|---|---|
| 🇨🇳 | 1 | Z.ai: GLM 5.2北京智谱华章科技有限公司 | 91 |
| 🇨🇳 | 2 | DeepSeek: deepseek-v4-pro-0813深度求索 | 89.8 |
| 🇷🇺 | 3 | Yandex: aliceai-foundation-80b-a3b-baseЯндекс | 88.7 |
| 🇺🇸 | 4 | Anthropic: claude-opus-4.5 | 84 |
| 🇨🇳 | 5 | inclusionAI: ling-3.0-flash | 83.7 |
| 🇨🇳 | 6 | Qwen: qwen3.6-27b通义千问 | 80.8 |
| ❓ | 7 | weiboai: vibethinker-3b | 80.6 |
| 🇨🇳 | 8 | Qwen: Qwen3.5 27B通义千问 | 79.9 |
| 🇨🇳 | 9 | Moonshot AI: Kimi K2 Thinking月之暗面 | 78.6 |
| 🇨🇳 | 10 | Intern Language Models: intern-s1-pro | 77.3 |
| 🇨🇳 | 11 | DeepSeek: deepseek-v3.2深度求索 | 76 |
| ❓ | 12 | xhtoken: spark-x2.6-4b | 75.2 |
| ❓ | 13 | xhtoken: spark-x2.5-4b | 74.2 |
| 🇨🇳 | 14 | inclusionAI: ling-3.0-tiny | 71.03 |
| ❓ | 15 | zyphra: zaya1-8b | 59.3 |
| ❓ | 16 | xhtoken: spark-x2.5-1.7b | 45.4 |
| 🇨🇳 | 17 | Tencent: hunyuan-4b-instruct腾讯控股有限公司 | 39.6 |
| 🇺🇸 | 18 | Hugging Face Smol Models Research: smollm3-3b | 28.7 |