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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CountBenchQA

7 models

Top 5 Models Performance

Qwen: qwen3-vl-32b-instruct ######################################## 93.6
NVIDIA Corporation: cosmos3-super ###################################### 89.1
NVIDIA Corporation: cosmos-reason2-32b ##################################### 87.5
Google: Gemma 4 31B Instruct ################################## 79.1
Google: Gemma 3 27B Pretrained ############################# 68
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
🇨🇳 1 Qwen: qwen3-vl-32b-instruct通义千问 93.6
🇺🇸 2 NVIDIA Corporation: cosmos3-super 89.1
🇺🇸 3 NVIDIA Corporation: cosmos-reason2-32b 87.5
🇺🇸 4 Google: Gemma 4 31B Instruct 79.1
🇺🇸 5 Google: Gemma 3 27B Pretrained 68
🇺🇸 6 Google: gemma-3-4b-pt 26.1
🇺🇸 7 Google: gemma-3-12b-pt 17.8