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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Codeforces ELO

12 models

Top 5 Models Performance

DeepSeek: deepseek-v4.1-flash ######################################## 3471
Google: Gemma 4 31B Instruct ######################### 2150
Google: Gemma 4 12B Instruct ################### 1659
Google: diffusiongemma-26b-a4b-it ################ 1429
NON AI - НЕ ИИ: Human baseline - Человеческий результат ############# 1143
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
🇨🇳 1 DeepSeek: deepseek-v4.1-flash深度求索 3471
🇺🇸 2 Google: Gemma 4 31B Instruct 2150
🇺🇸 3 Google: Gemma 4 12B Instruct 1659
🇺🇸 4 Google: diffusiongemma-26b-a4b-it 1429
- 5 NON AI - НЕ ИИ: Human baseline - Человеческий результат 1143
🇨🇳 6 DeepSeek: DeepSeek V4 Flash深度求索 1000
🇨🇳 7 DeepSeek: DeepSeek V4 Pro深度求索 1000
🇺🇸 8 Google: Gemma 4 E4B Instruct 940
🇨🇳 9 DeepSeek: deepseek-v3.2-speciale深度求索 900
🇨🇳 10 Qwen: qwen3.5-122b-a10b通义千问 851
🇨🇳 11 Qwen: Qwen3.5 35B A3B通义千问 822
- 12 NON AI - НЕ ИИ: Random baseline - Случайный счёт 0