Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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DROP

22 models

Top 5 Models Performance

Tencent: youtu-llm-2b ######################################## 86.7
Xiaomi: MiMo-V2.5 Pro ######################################## 86.3
Tencent: hy3-preview-base ####################################### 85.5
Google: palm ####################################### 85
Qwen: Qwen3 4B ###################################### 82.9
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
🇨🇳 1 Tencent: youtu-llm-2b腾讯控股有限公司 86.7
🇨🇳 2 Xiaomi: MiMo-V2.5 Pro小米集团 86.3
🇨🇳 3 Tencent: hy3-preview-base腾讯控股有限公司 85.5
🇺🇸 4 Google: palm 85
🇨🇳 5 Qwen: Qwen3 4B通义千问 82.9
❓ 6 sapientinc: hrm-text-1b 82.2
🇺🇸 7 OpenAI: gpt-4 80
🇺🇸 8 Google: Gemma 3 27B Pretrained 77.2
🇨🇳 9 Qwen: qwen3-1.7b通义千问 72.5
🇺🇸 10 Google: gemma-3-12b-pt 72.2
🇺🇸 11 Hugging Face Smol Models Research: smollm3-3b 72
🇺🇸 12 OpenAI: GPT-3.5 Turbo 70.2
🇷🇺 13 Yandex: gpt-5-lite-pretrainЯндекс 67.8
🇷🇺 14 Yandex: YandexGPT Lite 5Яндекс 65.1
🇺🇸 15 OpenAI: GPT-3.5 64.1
🇺🇸 16 Google: gemma-3-4b-pt 60.1
🇷🇺 17 Sber: gigachat3.5-432b-a28b-baseСбер 59.55
🇺🇸 18 Meta Llama: Llama 3.2 3B 45.2
🇺🇸 19 Google: gemma-3-1b-pt 42.4
🇨🇳 20 DeepSeek: deepseek-r1-distill-qwen-1.5b深度求索 41.3
🇨🇳 21 Qwen: qwen3.5-2b-base通义千问 30.8
🇺🇸 22 Arcee AI: trinity-nano-base 4.5