| 4 | Step 3.7 Flash | StepFun · Open weight | Artificial Analysis τ²-bench | 98.5% | |
| 5 | GLM-5-Turbo | Z.AI · Closed | Artificial Analysis τ²-bench | 98.5% | |
| 6 | GLM-5V-Turbo | Z.AI · Closed | Artificial Analysis τ²-bench | 98.5% | |
| 7 | GLM-5 | Z.AI · Open weight | Artificial Analysis τ²-bench | 98.2% | |
| 8 | GLM-5.1 | Z.AI · Open weight | Artificial Analysis τ²-bench | 97.7% | |
| 9 | Qwen3.6 Plus | Alibaba · Closed | Artificial Analysis τ²-bench | 97.7% | |
| 10 | Grok 4.3 | xAI · Closed | Artificial Analysis τ²-bench | 97.7% | |
| 11 | DeepSeek V4 Pro (Max) | DeepSeek · Open weight | Artificial Analysis τ²-bench | 96.2% | |
| 12 | Kimi K2.6 | Moonshot AI · Open weight | Artificial Analysis τ²-bench | 95.9% | |
| 13 | Kimi K2.5 | Moonshot AI · Open weight | Artificial Analysis τ²-bench | 95.9% | |
| 14 | GLM-4.7 | Z.AI · Open weight | Artificial Analysis τ²-bench | 95.9% | |
| 15 | Qwen 3.6 Max (preview) | Alibaba · Closed | Artificial Analysis τ²-bench | 95.9% | |
| 16 | Kimi K2.5 (Reasoning) | Moonshot AI · Closed | Artificial Analysis τ²-bench | 95.9% | |
| 17 | Gemini 3.1 Pro | Google · Closed | τ²-bench published setup | 95.6% | |
| 18 | Qwen3.5 397B | Alibaba · Open weight | Artificial Analysis τ²-bench | 95.6% | |
| 19 | DeepSeek V4 Flash (High) | DeepSeek · Open weight | Artificial Analysis τ²-bench | 95.6% | |
| 20 | Qwen3.5 397B (Reasoning) | Alibaba · Open weight | Artificial Analysis τ²-bench | 95.6% | |
| 21 | Gemini 3.5 Flash | Google · Closed | Artificial Analysis τ²-bench | 95.3% | |
| 22 | Qwen3.6-35B-A3B | Alibaba · Open weight | Artificial Analysis τ²-bench | 95.3% | |
| 23 | MiniMax M2.5 | MiniMax · Closed | Artificial Analysis τ²-bench | 95.3% | |
| 24 | DeepSeek V4 Flash (Max) | DeepSeek · Open weight | Artificial Analysis τ²-bench | 95% | |
| 25 | MiMo-V2-Pro | Xiaomi · Closed | Artificial Analysis τ²-bench | 95% | |
| 26 | Qwen3.7 Max | Alibaba · Closed | Artificial Analysis τ²-bench | 94.7% | |
| 27 | Claude Opus 4.8 | Anthropic · Closed | Artificial Analysis τ²-bench | 94.4% | |
| 28 | DeepSeek V4 Pro (High) | DeepSeek · Open weight | Artificial Analysis τ²-bench | 94.2% | |
| 29 | Qwen3.6-27B | Alibaba · Open weight | Artificial Analysis τ²-bench | 94.2% | |
| 30 | Mistral Medium 3.5 128B | Mistral · Open weight | Artificial Analysis τ²-bench | 94.2% | |
| 31 | MiMo-V2.5-Pro | Xiaomi · Closed | Artificial Analysis τ²-bench | 94.2% | |
| 32 | GPT-5.5 | OpenAI · Closed | τ²-bench Telecom | 93.9% | |
| 33 | Qwen3.5-27B | Alibaba · Open weight | Artificial Analysis τ²-bench | 93.9% | |
| 34 | Qwen3.5-122B-A10B | Alibaba · Open weight | Artificial Analysis τ²-bench | 93.6% | |
| 35 | Grok 4.1 Fast (Reasoning) | xAI · Closed | Artificial Analysis τ²-bench | 93.3% | |
| 36 | Qwen3.7 Plus | Alibaba · Closed | Artificial Analysis τ²-bench | 93% | |
| 37 | Claude Opus 4.6 (Adaptive) | Anthropic · Closed | Artificial Analysis τ²-bench | 92.1% | |
| 38 | GPT-5.2-Codex | OpenAI · Closed | Artificial Analysis τ²-bench | 92.1% | |
| 39 | Muse Spark | Meta · Closed | τ²-bench published setup | 91.5% | |
| 40 | MiMo-V2-Omni | Xiaomi · Closed | Artificial Analysis τ²-bench | 91.2% | |
| 41 | Trinity-Large-Preview | Arcee AI · Open weight | Artificial Analysis τ²-bench | 90.1% | |
| 42 | Trinity-Large-Thinking | Arcee AI · Open weight | Artificial Analysis τ²-bench | 90.1% | |
| 43 | Kimi K2.7 Code | Moonshot AI · Open weight | Artificial Analysis τ²-bench | 90.1% | |
| 44 | Claude Opus 4.5 Thinking | Anthropic · Closed | Artificial Analysis τ²-bench | 89.5% | |
| 45 | Qwen3.5-35B-A3B | Alibaba · Open weight | Artificial Analysis τ²-bench | 89.2% | |
| 46 | MiniMax M3 | MiniMax · Open weight | Artificial Analysis τ²-bench | 88.9% | |
| 47 | Claude Opus 4.7 (Adaptive) | Anthropic · Closed | Artificial Analysis τ²-bench | 88.6% | |
| 48 | Step 3.5 Flash | StepFun · Open weight | Artificial Analysis τ²-bench | 87.4% | |
| 49 | GPT-5.4 | OpenAI · Closed | τ²-bench Telecom | 87.1% | |
| 50 | Gemini 3 Pro | Google · Closed | Artificial Analysis τ²-bench | 87.1% | |
| 51 | GPT-5 (medium) | OpenAI · Closed | Artificial Analysis τ²-bench | 86.5% | |
| 52 | GPT-5.6 Terra | OpenAI · Closed | Artificial Analysis τ²-bench | 86.3% | |
| 53 | Claude Opus 4.5 | Anthropic · Closed | Artificial Analysis τ²-bench | 86.3% | |
| 54 | GPT-5.3 Codex | OpenAI · Closed | Artificial Analysis τ²-bench | 86% | |
| 55 | Ling 2.6 Flash | InclusionAI · Open weight | Artificial Analysis τ²-bench | 86% | |
| 56 | GPT-5.3-Codex-Spark | OpenAI · Closed | Artificial Analysis τ²-bench | 86% | |
| 57 | GPT-5.6 Sol | OpenAI · Closed | Artificial Analysis τ²-bench | 85.1% | |
| 58 | Claude Opus 4.6 | Anthropic · Closed | Artificial Analysis τ²-bench | 84.8% | |
| 59 | GPT-5.2 | OpenAI · Closed | Artificial Analysis τ²-bench | 84.8% | |
| 60 | MiniMax M2.7 | MiniMax · Open weight | Artificial Analysis τ²-bench | 84.8% | |
| 61 | GPT-5 (high) | OpenAI · Closed | Artificial Analysis τ²-bench | 84.8% | |
| 62 | MiMo-V2-Flash | Xiaomi · Open weight | Artificial Analysis τ²-bench | 83.9% | |
| 63 | GPT-5.4 mini | OpenAI · Closed | τ²-bench Telecom | 83.3% | |
| 64 | Nemotron 3 Ultra | NVIDIA · Open weight | Artificial Analysis τ²-bench | 83.3% | |
| 65 | GPT-5.1-Codex-Max | OpenAI · Closed | Artificial Analysis τ²-bench | 83% | |
| 66 | GPT-5.1-Codex | OpenAI · Closed | Artificial Analysis τ²-bench | 83% | |
| 67 | GPT-5.1 | OpenAI · Closed | Artificial Analysis τ²-bench | 81.9% | |
| 68 | o3 | OpenAI · Closed | Artificial Analysis τ²-bench | 80.7% | |
| 69 | Command A+ | Cohere · Open weight | τ²-bench Telecom | 80.7% | |
| 70 | Claude Sonnet 4.6 | Anthropic · Closed | Artificial Analysis τ²-bench | 79.5% | |
| 71 | DeepSeek V3.2 | DeepSeek · Open weight | Artificial Analysis τ²-bench | 78.9% | |
| 72 | GLM-4.6 | Z.AI · Open weight | Artificial Analysis τ²-bench | 76.9% | |
| 73 | GPT-5.4 nano | OpenAI · Closed | τ²-bench Telecom | 76% | |
| 74 | Grok Code Fast 1 | xAI · Closed | Artificial Analysis τ²-bench | 75.7% | |
| 75 | Grok 4 | xAI · Closed | Artificial Analysis τ²-bench | 74.9% | |
| 76 | Qwen3 Max | Alibaba · Closed | Artificial Analysis τ²-bench | 74.3% | |
| 77 | K-Exaone | LG AI Research · Closed | Artificial Analysis τ²-bench | 74.3% | |
| 78 | Claude Opus 4.7 | Anthropic · Closed | Artificial Analysis τ²-bench | 74% | |
| 79 | Claude 4.1 Opus Thinking | Anthropic · Closed | Artificial Analysis τ²-bench | 71.4% | |
| 80 | Mercury 2 | Inception · Closed | Artificial Analysis τ²-bench | 70.8% | |
| 81 | GPT-5 mini | OpenAI · Closed | Artificial Analysis τ²-bench | 68.4% | |
| 82 | Nemotron 3 Super 120B A12B | NVIDIA · Open weight | Artificial Analysis τ²-bench | 67.8% | |
| 83 | Grok 4 Fast (Reasoning) | xAI · Closed | Artificial Analysis τ²-bench | 65.8% | |
| 84 | GPT-OSS 120B | OpenAI · Open weight | Artificial Analysis τ²-bench | 65.8% | |
| 85 | Grok 4.1 Fast | xAI · Closed | Artificial Analysis τ²-bench | 63.7% | |
| 86 | o1 | OpenAI · Closed | Artificial Analysis τ²-bench | 62.6% | |
| 87 | Kimi K2 | Moonshot AI · Closed | Artificial Analysis τ²-bench | 61.1% | |
| 88 | GPT-OSS 20B | OpenAI · Open weight | Artificial Analysis τ²-bench | 60.2% | |
| 89 | Gemma 4 31B | Google · Open weight | Artificial Analysis τ²-bench | 59.9% | |
| 90 | Gemini 2.5 Pro | Google · Closed | Artificial Analysis τ²-bench | 54.1% | |
| 91 | GPT-4.1 mini | OpenAI · Closed | Artificial Analysis τ²-bench | 52.9% | |
| 92 | Claude 4 Sonnet | Anthropic · Closed | Artificial Analysis τ²-bench | 52.3% | |
| 93 | GPT-4.1 | OpenAI · Closed | Artificial Analysis τ²-bench | 47.1% | |
| 94 | Sarvam 105B | Sarvam · Open weight | Artificial Analysis τ²-bench | 46.8% | |
| 95 | GLM-4.5-Air | Z.AI · Closed | Artificial Analysis τ²-bench | 46.5% | |
| 96 | Nemotron 3 Nano Omni 30B A3B | NVIDIA · Open weight | τ²-bench Telecom | 45.3% | |
| 97 | Gemma 4 26B A4B | Google · Open weight | Artificial Analysis τ²-bench | 43.6% | |
| 98 | Gemini 3 Flash | Google · Closed | Artificial Analysis τ²-bench | 43.3% | |
| 99 | Mistral Small 4 | Mistral · Open weight | Artificial Analysis τ²-bench | 41.2% | |
| 100 | Mistral Small 4 (Reasoning) | Mistral · Open weight | Artificial Analysis τ²-bench | 41.2% | |
| 101 | Nemotron 3 Nano 30B | NVIDIA · Open weight | Artificial Analysis τ²-bench | 40.9% | |
| 102 | DeepSeek V3.1 (Reasoning) | DeepSeek · Open weight | Artificial Analysis τ²-bench | 37.4% | |
| 103 | DeepSeek-R1 | DeepSeek · Open weight | Artificial Analysis τ²-bench | 36.5% | |
| 104 | GPT-5 nano | OpenAI · Closed | Artificial Analysis τ²-bench | 36.5% | |
| 105 | Gemma 4 12B | Google · Open weight | Artificial Analysis τ²-bench | 36.3% | |
| 106 | DeepSeek V3.1 | DeepSeek · Open weight | Artificial Analysis τ²-bench | 34.8% | |
| 107 | Sarvam 30B | Sarvam · Open weight | Artificial Analysis τ²-bench | 34.5% | |
| 108 | MiniMax M1 80k | MiniMax · Closed | Artificial Analysis τ²-bench | 34.2% | |
| 109 | Solar Pro 2 | Upstage · Closed | Artificial Analysis τ²-bench | 31.9% | |
| 110 | Gemini 3.1 Flash-Lite | Google · Closed | Artificial Analysis τ²-bench | 31.3% | |
| 111 | Mistral Large 2 | Mistral · Closed | Artificial Analysis τ²-bench | 30.7% | |
| 112 | o3-mini | OpenAI · Closed | Artificial Analysis τ²-bench | 28.7% | |
| 113 | Ministral 3 14B (Reasoning) | Mistral · Open weight | Artificial Analysis τ²-bench | 27.2% | |
| 114 | Ministral 3 14B | Mistral · Open weight | Artificial Analysis τ²-bench | 27.2% | |
| 115 | Ministral 3 8B (Reasoning) | Mistral · Open weight | Artificial Analysis τ²-bench | 26.6% | |
| 116 | Ministral 3 8B | Mistral · Open weight | Artificial Analysis τ²-bench | 26.6% | |
| 117 | GPT-4o | OpenAI · Closed | Artificial Analysis τ²-bench | 25.1% | |
| 118 | Ministral 3 3B (Reasoning) | Mistral · Open weight | Artificial Analysis τ²-bench | 24.9% | |
| 119 | Ministral 3 3B | Mistral · Open weight | Artificial Analysis τ²-bench | 24.9% | |
| 120 | Mistral Large 3 | Mistral · Closed | Artificial Analysis τ²-bench | 24.6% | |
| 121 | Mistral Medium 3 | Mistral · Closed | Artificial Analysis τ²-bench | 24.3% | |
| 122 | DeepSeek V3 | DeepSeek · Open weight | Artificial Analysis τ²-bench | 22.8% | |
| 123 | Granite-4.0-1B | IBM · Open weight | Artificial Analysis τ²-bench | 22.8% | |
| 124 | Claude 3 Haiku | Anthropic · Closed | Artificial Analysis τ²-bench | 21.1% | |
| 125 | Gemma 4 E2B | Google · Open weight | Artificial Analysis τ²-bench | 20.8% | |
| 126 | Gemma 4 E4B | Google · Open weight | Artificial Analysis τ²-bench | 20.8% | |
| 127 | Exaone 4.0 1.2B | LG AI Research · Open weight | Artificial Analysis τ²-bench | 20.5% | |
| 128 | Granite-4.0-H-1B | IBM · Open weight | Artificial Analysis τ²-bench | 19.6% | |
| 129 | LFM2.5-1.2B-Thinking | LiquidAI · Closed | Artificial Analysis τ²-bench | 19.6% | |
| 130 | Llama 3.1 405B | Meta · Open weight | Artificial Analysis τ²-bench | 19% | |
| 131 | Llama 4 Maverick | Meta · Open weight | Artificial Analysis τ²-bench | 17.8% | |
| 132 | GPT-4.1 nano | OpenAI · Closed | Artificial Analysis τ²-bench | 17.3% | |
| 133 | LFM2.5-8B-A1B | LiquidAI · Open weight | τ²-bench Telecom | 16.1% | |
| 134 | Llama 4 Scout | Meta · Open weight | Artificial Analysis τ²-bench | 15.5% | |
| 135 | Gemini 2.5 Flash | Google · Closed | Artificial Analysis τ²-bench | 14.9% | |
| 136 | Granite-4.0-H-350M | IBM · Open weight | Artificial Analysis τ²-bench | 14.6% | |
| 137 | Nova Pro | Amazon · Closed | Artificial Analysis τ²-bench | 14% | |
| 138 | Granite-4.0-350M | IBM · Open weight | Artificial Analysis τ²-bench | 13.2% | |
| 139 | Nemotron Ultra 253B | NVIDIA · Open weight | Artificial Analysis τ²-bench | 11.4% | |
| 140 | LFM2-24B-A2B | LiquidAI · Closed | Artificial Analysis τ²-bench | 11.1% | |
| 141 | LFM2.5-1.2B-Instruct | LiquidAI · Closed | Artificial Analysis τ²-bench | 10.8% | |
| 142 | Gemma 3 27B | Google · Open weight | Artificial Analysis τ²-bench | 10.5% | |
| 143 | LFM2.5-VL-1.6B-Extract | LiquidAI · Open weight | Artificial Analysis τ²-bench | 8.5% | |
| 144 | Exaone 4.0 32B | LG AI Research · Open weight | Artificial Analysis τ²-bench | 4.1% | |
| 145 | Phi-4 | Microsoft · Open weight | Artificial Analysis τ²-bench | 0% | |