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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WorkBuddy Bench

3 models

Top 5 Models Performance

sensenova: sensenova-loop-9b-preview ######################################## 66.89
Qwen: Qwen3.5 9B ######################### 41.63
nanbeige: nanbeige4.2-3b ######################## 39.59
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
❓ 1 sensenova: sensenova-loop-9b-preview 66.89
🇨🇳 2 Qwen: Qwen3.5 9B通义千问 41.63
❓ 3 nanbeige: nanbeige4.2-3b 39.59