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 v4.0
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Artificial Analysis Intelligence Index v4.1 (Maximum Reasoning)

257 models

Index, calculated on GDPval-AA v2, Tau3 Banking, Terminal Bench v2.1, SciCode, AA-LCR, AA-Omniscience, Humanity's Last Exam, GPQA Diamond, CritPt.

Top 5 Models Performance

Anthropic: Claude Fable 5 ######################################## 60
Anthropic: Claude Opus 4.8 ##################################### 56
OpenAI: GPT-5.5 ##################################### 55
Anthropic: claude-sonnet-5 ################################### 53
Z.ai: GLM 5.2 ################################## 51
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
🇺🇸 1 Anthropic: Claude Fable 5 60
🇺🇸 2 Anthropic: Claude Opus 4.8 56
🇺🇸 3 OpenAI: GPT-5.5 55
🇺🇸 4 Anthropic: claude-sonnet-5 53
🇨🇳 5 Z.ai: GLM 5.2北京智谱华章科技有限公司 51
🇺🇸 6 OpenAI: GPT-5.4 51
🇺🇸 7 Google: Gemini 3.5 Flash 50
🇺🇸 8 Anthropic: Claude Sonnet 4.6 47
🇺🇸 9 Google: Gemini 3.1 Pro Preview 46
🇨🇳 10 Qwen: Qwen3.7 Max通义千问 46
🇨🇳 11 MiniMax: MiniMax M3稀宇科技 44
🇨🇳 12 DeepSeek: DeepSeek V4 Pro深度求索 44
🇺🇸 13 OpenAI: gpt-5.3-codex 44
🇺🇸 14 Anthropic: Claude Opus 4.7 43
🇺🇸 15 Meta: Muse Spark 43
🇨🇳 16 Moonshot AI: Kimi K2.6月之暗面 43
🇨🇳 17 Moonshot AI: Kimi K2.7 Code月之暗面 42
🇨🇳 18 Xiaomi: MiMo-V2.5 Pro小米集团 42
🇺🇸 19 OpenAI: gpt-5.2 42
🇨🇳 20 Nex AGI: Nex-N2 Pro 41
🇨🇳 21 DeepSeek: DeepSeek V4 Flash深度求索 40
🇨🇳 22 Xiaomi: MiMo-V2.5小米集团 40
🇨🇳 23 Xiaomi: mimo-v2-pro小米集团 40
🇨🇳 24 Z.ai: GLM 5北京智谱华章科技有限公司 40
🇨🇳 25 Z.ai: GLM 5.1北京智谱华章科技有限公司 40
🇺🇸 26 OpenAI: gpt-5.4-mini 40
🇺🇸 27 OpenAI: gpt-5.2-codex 40
🇺🇸 28 xAI: Grok Build 0.1 40
🇺🇸 29 OpenAI: gpt-5.1 39
🇨🇳 30 Qwen: qwen3.7-plus通义千问 39
🇺🇸 31 NVIDIA Corporation: nvidia-nemotron-3-ultra 38
🇺🇸 32 xAI: Grok 4.3 38
🇨🇳 33 MiniMax: minimax-m2.7稀宇科技 38
🇨🇳 34 Moonshot AI: Kimi K2.5月之暗面 38
🇺🇸 35 OpenAI: gpt-5.4-nano 38
🇨🇳 36 Qwen: qwen3.6-27b通义千问 37
🇺🇸 37 xAI: Grok 4.20 37
🇺🇸 38 xAI: grok-4.20-0309-v2 37
🇺🇸 39 OpenAI: GPT-5 36
🇺🇸 40 OpenAI: gpt-5-codex 36
🇨🇳 41 Moonshot AI: Kimi K2.6 Instant月之暗面 35
🇺🇸 42 OpenAI: gpt-5.1-codex 35
❓ 43 Kwaipilot: kat-coder-pro-v2 35
❓ 44 Kwaipilot: kat-coder-pro-v1 35
🇨🇳 45 Xiaomi: mimo-v2-omni小米集团 35
🇨🇳 46 MiniMax: MiniMax M2.5稀宇科技 34
🇨🇳 47 Z.ai: GLM 4.7北京智谱华章科技有限公司 34
🇨🇳 48 Qwen: Qwen3.5 27B通义千问 34
🇨🇳 49 Qwen: qwen3.5-397b-a17b通义千问 34
🇺🇸 50 OpenAI: gpt-5.5-instant 34
🇨🇳 51 Tencent: Hy3 Preview腾讯控股有限公司 34
🇨🇳 52 DeepSeek: deepseek-v3.2深度求索 33
🇺🇸 53 OpenAI: o3-pro 33
🇨🇳 54 Moonshot AI: Kimi K2 Thinking月之暗面 33
🇺🇸 55 OpenAI: GPT-5 Mini 33
🇺🇸 56 xAI: Grok 4 33
🇨🇳 57 Qwen: qwen3.5-122b-a10b通义千问 32
🇨🇳 58 Qwen: qwen3.6-35b-a3b通义千问 32
🇨🇳 59 Qwen: qwen3-max通义千问 32
🇺🇸 60 xAI: Grok 4.1 Fast 31
🇨🇳 61 MiniMax: MiniMax M2.1稀宇科技 31
🇨🇳 62 Xiaomi: mimo-v2-flash小米集团 31
🇨🇳 63 inclusionAI: ring-2.6-1t 31
🇺🇸 64 Anthropic: claude-4.5-haiku 30
🇺🇸 65 OpenAI: o3 30
🇫🇷 66 Mistral AI: mistral-medium-3.5-128b 30
🇺🇸 67 Google: Gemma 4 31B Instruct 29
🇨🇳 68 Qwen: Qwen3.5 35B A3B通义千问 29
🇨🇦 69 Cohere Labs: command-a-plus-05-2026-bf16 29
🇨🇳 70 China Mobile: jt-35b-flash中国移动通信集团公司 28
🇺🇸 71 Google: gemini-2.5-pro 27
🇺🇸 72 xAI: Grok 4 Fast 27
🇨🇳 73 DeepSeek: deepseek-v3.1-terminus深度求索 26
🇺🇸 74 Google: Gemma 4 26B A4B Instruct 26
🇺🇸 75 OpenAI: o4-mini 26
🇨🇳 76 ByteDance Seed: doubao-seed-code字节跳动 26
🇨🇳 77 inclusionAI: ling-2.6-1t 26
🇨🇳 78 Qwen: Qwen3.5 9B通义千问 25
🇨🇳 79 DeepSeek: deepseek-v3.2-exp深度求索 25
🇺🇸 80 Google: gemini-3.1-flash-lite 25
🇺🇸 81 NVIDIA Corporation: nvidia-nemotron-3-super-120b-a12b 25
🇨🇳 82 Z.ai: glm-4.6北京智谱华章科技有限公司 25
🇺🇸 83 OpenAI: gpt-oss-120b 24
🇺🇸 84 Arcee AI: trinity-large-thinking 24
🇨🇳 85 Z.ai: glm-4.7-flash北京智谱华章科技有限公司 23
🇰🇷 86 LG AI Research: exaone-4.5-33b주식회사 엘지 23
🇺🇸 87 OpenAI: o1 23
🇺🇸 88 xAI: Grok 3 Mini 23
🇺🇸 89 Google: Gemma 4 12B Instruct 22
🇨🇳 90 DeepSeek: deepseek-v3.2-speciale深度求索 22
🇺🇸 91 Amazon: nova-2.0-pro 22
🇺🇸 92 xAI: grok-code-fast-1 22
🇨🇳 93 Baidu: ernie-5.0-thinking百度 22
🇨🇳 94 Qwen: qwen3-235b-a22b-2507通义千问 22
🇨🇳 95 DeepSeek: deepseek-v3.1深度求索 21
🇫🇷 96 Mistral AI: mistral-small-4-119b-2603 21
🇺🇸 97 Amazon: nova-2.0-lite 21
🇨🇦 98 Cohere Labs: north-mini-code-1.0 21
🇺🇸 99 OpenAI: GPT-5 Nano 20
🇨🇳 100 Qwen: Qwen3.5 4B通义千问 20
🇨🇳 101 DeepSeek: deepseek-r1-0528深度求索 20
🇺🇸 102 Google: gemini-2.5-flash 20
🇺🇸 103 OpenAI: o3-mini 19
🇨🇳 104 China Mobile: jt-mini中国移动通信集团公司 19
🇨🇳 105 Moonshot AI: Kimi K2 Instruct月之暗面 19
🇨🇳 106 inclusionAI: ling-2.6-flash 19
🇫🇷 107 Mistral AI: devstral-2 19
🇨🇳 108 MiniMax: minimax-m1-80k稀宇科技 18
❓ 109 perplexity: sonar-reasoning-pro 18
🇺🇸 110 xAI: Grok 3 18
🇨🇳 111 ByteDance Seed: seed-oss-36b-instruct字节跳动 18
❓ 112 LLM360: k2-think-v2 17
❓ 113 naver-hyperclovax: hyperclovax-seed-think-32b 17
🇨🇳 114 LongCat: longcat-flash-lite 17
🇨🇳 115 Z.ai: glm-4.6v北京智谱华章科技有限公司 17
🇨🇳 116 DeepSeek: deepseek-v3-0324深度求索 16
🇺🇸 117 OpenAI: gpt-4.1-mini 16
❓ 118 primeintellect: intellect-3 16
🇨🇳 119 inclusionAI: ring-1t 16
🇺🇸 120 OpenAI: gpt-oss-20b 15
🇺🇸 121 NVIDIA Corporation: nemotron-3-nano-omni-30b-a3b 15
🇺🇸 122 xAI: Grok 3 Reasoning Beta 15
❓ 123 upstage: solar-open-100b 15
🇺🇸 124 OpenAI: gpt-4.5 14
🇺🇸 125 NVIDIA Corporation: nvidia-nemotron-3-nano-30b-a3b 14
🇺🇸 126 Meta Llama: Llama 4 Maverick Instruct 14
🇨🇳 127 MiniMax: minimax-m1-40k稀宇科技 14
❓ 128 upstage: solar-pro-3 14
🇺🇸 129 OpenAI: o1-mini 14
🇨🇳 130 DeepSeek: DeepSeek R1深度求索 13
🇨🇳 131 inclusionAI: ling-1t 13
🇫🇷 132 Mistral AI: devstral-small-2 13
🇺🇸 133 Google: Gemma 4 E4B Instruct 12
❓ 134 perplexity: sonar-reasoning 12
🇨🇳 135 OpenBMB: minicpm5-1b 12
🇮🇳 136 Sarvam AI: sarvam-105b 12
🇫🇷 137 Mistral AI: devstral-small-2505 12
🇫🇷 138 Mistral AI: devstral-medium 12
🇨🇳 139 DeepSeek: deepseek-r1-distill-qwen-32b深度求索 11
🇨🇳 140 DeepSeek: deepseek-v3深度求索 10
🇨🇳 141 Qwen: qwen2.5-max通义千问 10
🇨🇳 142 Qwen: qwen2.5-72b-instruct通义千问 10
🇨🇳 143 Qwen: Qwen3.5 2B通义千问 10
🇨🇳 144 DeepSeek: deepseek-r1-distill-llama-70b深度求索 10
🇨🇳 145 DeepSeek: deepseek-r1-distill-qwen-14b深度求索 10
🇺🇸 146 Google: gemini-1.5-pro 10
🇨🇳 147 DeepSeek: deepseek-r1-distill-qwen3-8b深度求索 10
🇺🇸 148 Meta Llama: Llama 4 Scout Instruct 10
🇫🇷 149 Mistral AI: ministral-3-14b-instruct-2512 10
🇨🇳 150 Qwen: qwen3-14b通义千问 10
❓ 151 perplexity: sonar 10
❓ 152 NousResearch: hermes-4-70b 10
🇨🇳 153 Qwen: qwen3-32b通义千问 10
🇦🇪 154 Technology Innovation Institute: falcon-h1r-7b 10
🇨🇳 155 inclusionAI: ling-flash-2.0 10
🇨🇳 156 Moonshot AI: kimi-linear-48b-a3b-instruct月之暗面 9
🇺🇸 157 Google: Gemma 4 E2B Instruct 9
🇺🇸 158 Meta Llama: Llama 3.1 405B Instruct 9
🇨🇳 159 Z.ai: glm-4.5v北京智谱华章科技有限公司 9
🇨🇳 160 Qwen: qwq-32b通义千问 9
🇺🇸 161 Meta Llama: Llama 3.3 70B Instruct 9
🇫🇷 162 Mistral AI: ministral-3-8b-instruct-2512 9
🇺🇸 163 IBM Granite: granite-4.1-30b 9
🇺🇸 164 NVIDIA Corporation: NVIDIA Nemotron 3 Nano 4B 9
❓ 165 perplexity: sonar-pro 9
❓ 166 NousResearch: hermes-4-405b 9
🇨🇳 167 StepFun: step-3-vl-10b上海阶跃星辰智能科技有限公司 9
❓ 168 upstage: solar-pro-2 9
🇨🇳 169 Baidu: ernie-4.5-300b-a47b百度 9
🇨🇳 170 Qwen: qwen3-30b-a3b通义千问 9
🇺🇸 171 Google: gemini-1.5-flash 8
🇺🇸 172 OpenAI: gpt-4o 8
🇺🇸 173 OpenAI: gpt-4-turbo 8
🇨🇳 174 Qwen: Qwen3 4B通义千问 8
🇨🇦 175 Cohere Labs: c4ai-command-a-03-2025 8
🇺🇸 176 Amazon: nova-pro-v1 8
🇨🇳 177 Qwen: qwen3-vl-8b-instruct通义千问 8
🇺🇸 178 LiquidAI: lfm-2.5-8b-a1b 8
🇺🇸 179 Ai2: olmo-3.1-32b-think 8
🇨🇳 180 inclusionAI: ring-flash-2.0 8
🇨🇳 181 Qwen: qwen3-vl-4b-instruct通义千问 8
🇺🇸 182 Meta Llama: llama-3.1-70b-instruct 7
🇨🇳 183 DeepSeek: deepseek-v2.5深度求索 7
🇺🇸 184 OpenAI: gpt-4o-mini 7
🇺🇸 185 OpenAI: gpt-4 7
🇺🇸 186 OpenAI: gpt-4.1-nano 7
🇺🇸 187 IBM Granite: Granite 4.1 8B 7
🇨🇳 188 Qwen: Qwen3 8B通义千问 7
🇨🇳 189 Qwen: qwen2.5-coder-32b-instruct通义千问 7
🇺🇸 190 Amazon: nova-lite-v1 7
🇮🇳 191 Sarvam AI: sarvam-30b 7
🇺🇸 192 xAI: Grok-1 6
🇨🇳 193 DeepSeek: DeepSeek R1 Distill Llama 8B深度求索 6
🇺🇸 194 Meta Llama: Llama 3.1 8B Instruct 6
🇺🇸 195 Meta Llama: Llama 3.2 90B Instruct 6
🇫🇷 196 Mistral AI: ministral-3-3b-instruct-2512 6
🇺🇸 197 Ai2: olmo-3-32b-think 6
🇨🇳 198 Qwen: qwen2-72b-instruct通义千问 6
❓ 199 upstage: solar-mini 6
🇺🇸 200 Ai2: olmo-3.1-32b-instruct 6
🇨🇳 201 Qwen: qwen2.5-turbo通义千问 6
🇺🇸 202 Microsoft: phi-3-mini-4k-instruct 5
🇺🇸 203 Microsoft: phi-4 5
🇨🇳 204 Qwen: Qwen3.5 0.8B通义千问 5
🇺🇸 205 Google: Gemma 3 27B Instruct 5
❓ 206 NousResearch: hermes-3-llama-3.1-70b 5
🇺🇸 207 Google: gemini-1.0-ultra 5
🇺🇸 208 Ai2: olmo-2-0325-32b-instruct 5
🇺🇸 209 Amazon: nova-micro-v1 5
🇺🇸 210 Microsoft: phi-4-multimodal-instruct 5
🇮🇱 211 AI21: jamba-1.7-large 5
🇮🇱 212 AI21: jamba-1.5-large 5
🇮🇱 213 AI21: jamba-1.6-large 5
🇺🇸 214 Anthropic: claude-2.0 4
🇺🇸 215 Anthropic: claude-2.1 4
🇺🇸 216 Anthropic: claude-3-haiku 4
🇺🇸 217 OpenAI: GPT-3.5 Turbo 4
🇨🇳 218 DeepSeek: deepseek-r1-distill-qwen-1.5b深度求索 4
🇨🇳 219 Qwen: qwen1.5-110b-chat通义千问 4
🇺🇸 220 Meta Llama: Llama 3.2 3B Instruct 4
🇺🇸 221 Meta Llama: llama-2-7b-chat 4
🇺🇸 222 Ai2: olmo-3-7b-think 4
🇺🇸 223 Ai2: olmo-2-1124-7b-instruct 4
🇮🇱 224 AI21: jamba-reasoning-3b 4
🇨🇳 225 Qwen: qwen3-1.7b通义千问 3
🇺🇸 226 Microsoft: phi-4-mini-instruct 3
🇺🇸 227 LiquidAI: LFM2.5 1.2B Instruct 3
🇺🇸 228 LiquidAI: LFM2.5 1.2B Thinking 3
🇺🇸 229 Google: Gemma 3 12B Instruct 3
🇺🇸 230 Meta Llama: llama-3.2-11b-instruct 3
🇺🇸 231 Meta Llama: llama-2-70b-chat 3
🇺🇸 232 Meta Llama: llama-2-13b-chat 3
🇨🇦 233 Cohere Labs: c4ai-command-r-plus 3
🇺🇸 234 Google: Gemini 1.0 Pro 3
🇺🇸 235 Ai2: olmo-3-7b-instruct 3
🇨🇳 236 DeepSeek: deepseek-coder-v2-lite-instruct深度求索 3
🇮🇳 237 Sarvam AI: sarvam-m 3
🇮🇱 238 AI21: jamba-1.7-mini 3
🇮🇱 239 AI21: jamba-1.5-mini 3
🇮🇱 240 AI21: jamba-1.6-mini 3
🇺🇸 241 Snowflake: arctic-instruct 3
🇨🇳 242 OpenChat: openchat-3.5 3
🇺🇸 243 Databricks: DBRX Instruct 3
🇺🇸 244 Anthropic: claude-instant 2
🇺🇸 245 Google: Gemma 3 270M Instruct 2
🇨🇦 246 Cohere Labs: c4ai-command-r7b-12-2024 2
🇺🇸 247 Ai2: molmo2-8b 2
🇺🇸 248 IBM Granite: granite-3.3-8b-instruct 2
🇺🇸 249 LiquidAI: lfm-2-8b-a1b 2
🇺🇸 250 IBM Granite: granite-4.0-1b 2
🇨🇳 251 Qwen: Qwen3 0.6B通义千问 1
🇨🇦 252 Cohere Labs: Tiny Aya Global 1
🇺🇸 253 Google: Gemma 3 1B Instruct 1
🇺🇸 254 Meta Llama: llama-3.2-1b-instruct 1
🇺🇸 255 Google: Gemma 3 4B Instruct 1
🇺🇸 256 Google: Gemma 3n E4B Instruct 1
🇺🇸 257 Google: Gemma 3n E2B Instruct 1