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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MATH-500

35 models

Top 5 Models Performance

Meituan LongCat: longcat-flash-thinking ######################################## 99.2
Prism ML: ternary-bonsai-27b ######################################## 99.2
Prism ML: ternary-bonsai-2-27b ######################################## 98.8
orcarouter: orcacyber-nano-1.0 ######################################## 98.6
Sarvam AI: sarvam-105b ######################################## 98.6
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
🇨🇳 1 Meituan LongCat: longcat-flash-thinking 99.2
❓ 2 Prism ML: ternary-bonsai-27b 99.2
❓ 3 Prism ML: ternary-bonsai-2-27b 98.8
❓ 4 orcarouter: orcacyber-nano-1.0 98.6
🇮🇳 5 Sarvam AI: sarvam-105b 98.6
❓ 6 webai-official: twil-8b 98.2
🇨🇳 7 Z.ai: glm-4.5北京智谱华章科技有限公司 98.2
🇨🇳 8 Z.ai: glm-4.5-air北京智谱华章科技有限公司 98.1
🇺🇸 9 NVIDIA Corporation: nvidia-nemotron-nano-9b-v2 97.8
🇦🇪 10 Technology Innovation Institute: falcon-h1r-7b 97.4
🇨🇳 11 Qwen: Qwen3 8B通义千问 96.3
❓ 12 diffuspace: clover-35b-a3b-preview 96.2
🇺🇸 13 LiquidAI: lfm-2.5-24b-a2b 96.04
🇺🇸 14 NVIDIA Corporation: NVIDIA Nemotron 3 Nano 4B 95.4
🇨🇳 15 Qwen: Qwen3 4B通义千问 95
🇨🇳 16 OpenBMB: minicpm5-2b 94.6
🇺🇸 17 AMD: sand-math-qwen2.5-32b 93.85
🇺🇸 18 AMD: sand-mathscience-deepseek-qwen32b 93.85
🇨🇳 19 Tencent: youtu-llm-2b腾讯控股有限公司 93.7
❓ 20 Ornith: ornith-1.5-9b 92
🇺🇸 21 Hugging Face Smol Models Research: smollm3-3b 91.8
🇨🇳 22 OpenBMB: minicpm5-1b 91.6
🇷🇺 23 Yandex: aliceai-foundation-80b-a3b-baseЯндекс 91.1
🇨🇳 24 Qwen: qwen3-1.7b通义千问 89.8
🇺🇸 25 LiquidAI: lfm-2.5-8b-a1b 88.76
🇷🇺 26 Sber: gigachat3.5-432b-a28bСбер 86
🇨🇳 27 DeepSeek: deepseek-r1-distill-qwen-1.5b深度求索 84.8
🇦🇪 28 Technology Innovation Institute: falcon-h1-1.5b-deep-instruct 77.8
🇦🇪 29 Technology Innovation Institute: falcon-h1-1.5b-instruct 74
🇺🇸 30 Microsoft: phi-4-mini-instruct 69.6
🇺🇸 31 Hugging Face Smol Models Research: qwen3-1.7b-gsm8k 55.2
🇺🇸 32 Google: Gemma 3 4B Instruct 36.4
🇺🇸 33 Arcee AI: trinity-nano-base 36
🇨🇳 34 OpenBMB: bitcpm4-1b 34
❓ 35 viesar: gemma-3-4b-opus-reasoning-distill 29.6