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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AIDABench

3 models

Top 5 Models Performance

sensenova: sensenova-loop-9b-preview ######################################## 58.87
nanbeige: nanbeige4.2-3b ############################## 43.69
Qwen: Qwen3.5 9B ############################ 40.78
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
❓ 1 sensenova: sensenova-loop-9b-preview 58.87
❓ 2 nanbeige: nanbeige4.2-3b 43.69
🇨🇳 3 Qwen: Qwen3.5 9B通义千问 40.78