LLM-ledertavle og AI-modellrangeringer
Én side som samler de viktigste AI-benchmarkene og ledertavlene — Chatbot Arena Elo (arena.ai), Artificial Analysis Intelligence Index og tale-arenaene, samt OpenRouter-bruk — på tvers av chat, koding, TTS, tale-til-tekst, bilde, video og agenter.
| Rang | Modell | Leverandør | Intelligensindeks ? | Input ? | Output | Cache ? |
|---|---|---|---|---|---|---|
| 1 |  Claude Opus 5.5 (Max, Default Fallback) | Anthropic | 57.6 | 4.00 | 20.0 | 0.200 |
| 2 | Claude Sonnet 5.5 (Max, Default Fallback) | Anthropic | 56 | 2.00 | 10.0 | 0.100 |
| 3 | Claude Opus 5.5 (Xhigh, Default Fallback) | Anthropic | 56 | 4.00 | 20.0 | 0.200 |
| 4 |  Muse Wonder Full (Max) | Meta | 55.8 | — | — | — |
| 5 | Claude Opus 5.5 (High, Default Fallback) | Anthropic | 53.6 | 4.00 | 20.0 | 0.200 |
| 6 | Claude Fable 5.1 (Max, Default Fallback) | Anthropic | 53.4 | 10.0 | 50.0 | 0.250 |
| 7 | Claude Fable 5.1 (Xhigh, Default Fallback) | Anthropic | 53.2 | 10.0 | 50.0 | 0.250 |
| 8 |  GPT-6 Astra (Max) | OpenAI | 52.7 | 10.0 | 50.0 | 1.00 |
| 9 |  Gemini 4 Argon (High) | 52.6 | — | — | — | |
| 10 | GPT-6 Astra (Xhigh) | OpenAI | 52.4 | 10.0 | 50.0 | 1.00 |
| 11 | Muse Wonder (Max) | Meta | 52.4 | 4.00 | 20.0 | 0.200 |
| 12 | Claude Sonnet 5.5 (Xhigh, Default Fallback) | Anthropic | 51.9 | 2.00 | 10.0 | 0.100 |
| 13 | GPT-6.1 Sol (Max) | OpenAI | 51.8 | 2.00 | 10.0 | 0.100 |
| 14 | Claude Fable 5.1 (High, Default Fallback) | Anthropic | 51.2 | 10.0 | 50.0 | 0.250 |
| 15 | Claude Opus 5.5 (Medium, Default Fallback) | Anthropic | 51.2 | 4.00 | 20.0 | 0.200 |
| 16 | GPT-6.1 Sol (Xhigh) | OpenAI | 51 | 2.00 | 10.0 | 0.100 |
| 17 | GPT-6 Astra (High) | OpenAI | 50.9 | 10.0 | 50.0 | 1.00 |
| 18 | Claude Opus 5 (Max) | Anthropic | 50.8 | 5.00 | 25.0 | 0.500 |
| 19 | GPT-6.1 Sol (High) | OpenAI | 50.2 | 2.00 | 10.0 | 0.100 |
| 20 | Claude Opus 5 (Xhigh) | Anthropic | 49.7 | 5.00 | 25.0 | 0.500 |
| 21 | Claude Fable 5 (Max, Opus 4.8 Fallback) | Anthropic | 49.6 | 10.0 | 50.0 | 1.00 |
| 22 | GPT-6 Astra (Medium) | OpenAI | 49.6 | 10.0 | 50.0 | 1.00 |
| 23 | Claude Fable 5.1 (Medium, Default Fallback) | Anthropic | 48.9 | 10.0 | 50.0 | 0.250 |
| 24 | Claude Opus 5 (High) | Anthropic | 48.1 | 5.00 | 25.0 | 0.500 |
| 25 | Muse Spark 1.3 (Max) | Meta | 48.1 | 1.25 | 4.25 | 0.150 |
| 26 | GPT-6.1 Sol (Medium) | OpenAI | 47.8 | 2.00 | 10.0 | 0.100 |
| 27 | GPT-6 Sol (Max) | OpenAI | 47.6 | 2.00 | 10.0 | 0.200 |
| 28 | GPT-5.6 Sol (Max) | OpenAI | 47 | 2.00 | 10.0 | 0.200 |
| 29 | Claude Fable 5.1 (Low, Default Fallback) | Anthropic | 46.8 | 10.0 | 50.0 | 0.250 |
| 30 | Claude Sonnet 5.5 (High, Default Fallback) | Anthropic | 46.8 | 2.00 | 10.0 | 0.100 |
| 31 |  Grok 4.7 (Xhigh) | SpaceXAI | 46.4 | 2.00 | 6.00 | 0.500 |
| 32 |  MiMo-V2.6-Pro | Xiaomi | 46.3 | 0.435 | 0.870 | 0.0036 |
| 33 | Grok 4.7 (High) | SpaceXAI | 46.3 | 2.00 | 6.00 | 0.500 |
| 34 | GPT-6 Astra (Low) | OpenAI | 45.8 | 10.0 | 50.0 | 1.00 |
| 35 |  Qwen3.8 Max (0902) | Alibaba | 45.4 | 2.00 | 6.00 | 0.250 |
| 36 | Muse Spark 1.3 (Xhigh) | Meta | 45.1 | 1.25 | 4.25 | 0.150 |
| 37 |  GLM-5.3 (Max) | Z AI | 44.8 | 0.079 | 4.80 | 0.059 |
| 38 | Claude Opus 5 (Medium) | Anthropic | 44.8 | 5.00 | 25.0 | 0.500 |
| 39 | Grok 4.6 (High) | SpaceXAI | 44.3 | 2.00 | 6.00 | 0.500 |
| 40 | Grok 4.6 (Xhigh) | SpaceXAI | 44.2 | 2.00 | 6.00 | 0.500 |
| 41 | GPT-6 Sol (Xhigh) | OpenAI | 44.2 | 2.00 | 10.0 | 0.200 |
| 42 | GPT-5.6 Sol (Xhigh) | OpenAI | 44 | 2.00 | 10.0 | 0.200 |
| 43 |  Step 5 Preview | StepFun | 43.7 | 1.00 | 2.70 | 0.050 |
| 44 |  Kimi K3 (Max) | Kimi | 43.6 | 0.730 | 13.5 | 0.550 |
| 45 | Claude Haiku 5.5 (Max) | Anthropic | 43.4 | 0.100 | 0.500 | 0.010 |
| 46 | Grok 4.6 (Medium) | SpaceXAI | 42.8 | 2.00 | 6.00 | 0.500 |
| 47 | GPT-6 Sol (High) | OpenAI | 42.4 | 2.00 | 10.0 | 0.200 |
| 48 | Claude Opus 5.5 (Low, Default Fallback) | Anthropic | 42.3 | 4.00 | 20.0 | 0.200 |
| 49 | GPT-5.6 Sol (High) | OpenAI | 42.3 | 2.00 | 10.0 | 0.200 |
| 50 | Grok 4.7 (Low) | SpaceXAI | 42.2 | 2.00 | 6.00 | 0.500 |
| 51 | GPT-5.6 Terra (Max) | OpenAI | 42.1 | 2.00 | 12.0 | 0.200 |
| 52 | GPT-6.1 Sol (Low) | OpenAI | 42.1 | 2.00 | 10.0 | 0.100 |
| 53 | GLM-5.3-Flash | Z AI | 41.8 | 0.026 | 0.900 | 0.011 |
| 54 | Claude Opus 4.8 (Max) | Anthropic | 41.8 | 5.00 | 25.0 | 0.500 |
| 55 | Claude Haiku 5.5 (Xhigh) | Anthropic | 41.2 | 0.100 | 0.500 | 0.010 |
| 56 | Ling 3.1 Flash | InclusionAI | 41.1 | — | — | — |
| 57 | Gemini 3.8 Flash (High) | 40.9 | 0.750 | 3.75 | 0.075 | |
| 58 | Claude Sonnet 5.5 (Medium, Default Fallback) | Anthropic | 40.8 | 2.00 | 10.0 | 0.100 |
| 59 | Claude Opus 4.7 (Max) | Anthropic | 40.7 | 5.00 | 25.0 | 0.500 |
| 60 | Qwen3.8 Max | Alibaba | 40.2 | 2.00 | 6.00 | 0.250 |
| 61 | Qwen3.8 2.4T A95B | Alibaba | 39.9 | 2.00 | 6.00 | 0.250 |
| 62 | Gemini 3.8 Flash (Medium) | 39.8 | 0.750 | 3.75 | 0.075 | |
| 63 | GPT-6 Sol (Medium) | OpenAI | 39.8 | 2.00 | 10.0 | 0.200 |
| 64 | Qwen3.8-Flash-Next | Alibaba | 39.8 | — | — | — |
| 65 | Muse Spark 1.2 (Xhigh) | Meta | 39.6 | 1.25 | 4.25 | 0.150 |
| 66 | Gemini 3.7 Flash (Medium) | 39.6 | 0.750 | 3.75 | 0.075 | |
| 67 |  DeepSeek V4.1 Flash (Max) | DeepSeek | 39.5 | 0.045 | 0.891 | 0.0054 |
| 68 | Claude Opus 5 (Low) | Anthropic | 39.4 | 5.00 | 25.0 | 0.500 |
| 69 | GPT-5.6 Sol (Medium) | OpenAI | 39.2 | 2.00 | 10.0 | 0.200 |
| 70 | Gemini 3.7 Flash (High) | 39.1 | 0.750 | 3.75 | 0.075 | |
| 71 | GPT-5.4 (Xhigh) | OpenAI | 39 | 2.50 | 15.0 | 0.250 |
| 72 | Grok 4.5 (High) | SpaceXAI | 38.8 | 2.00 | 6.00 | 0.300 |
| 73 | GPT-5.5 (Xhigh) | OpenAI | 38.4 | 5.00 | 30.0 | 0.500 |
| 74 |  Mistral Large 4 Preview | Mistral | 38.4 | — | — | — |
| 75 | Claude Sonnet 5 (Max) | Anthropic | 38.2 | 2.00 | 10.0 | 0.200 |
| 76 | GPT-6 Luna (Max) | OpenAI | 38.1 | 0.100 | 0.500 | 0.010 |
| 77 | GPT-5.6 Terra (Xhigh) | OpenAI | 38 | 2.00 | 12.0 | 0.200 |
| 78 | MiMo-V2.6-Flash | Xiaomi | 37.9 | 0.140 | 0.280 | 0.0028 |
| 79 | Claude Haiku 5.5 (High) | Anthropic | 37.8 | 0.100 | 0.500 | 0.010 |
| 80 | GPT-5.6 Luna (Max) | OpenAI | 37.3 | 0.200 | 1.20 | 0.020 |
| 81 | GPT-5.5 (High) | OpenAI | 37 | 5.00 | 30.0 | 0.500 |
| 82 | Gemini 3.7 Flash (Low) | 36.9 | 0.750 | 3.75 | 0.075 | |
| 83 | DeepSeek V4 Pro 0813 (Max) | DeepSeek | 36 | 0.660 | 1.98 | 0.022 |
| 84 | Claude Sonnet 5.5 (Low, Default Fallback) | Anthropic | 35.9 | 2.00 | 10.0 | 0.100 |
| 85 | Grok 4.6 (Low) | SpaceXAI | 35.1 | 2.00 | 6.00 | 0.500 |
| 86 | DeepSeek V4 Flash Vision (Max) | DeepSeek | 34.8 | 0.216 | 0.647 | 0.0069 |
| 87 | GPT-6 Luna (Xhigh) | OpenAI | 34.6 | 0.100 | 0.500 | 0.010 |
| 88 | GPT-5.6 Luna (Xhigh) | OpenAI | 34.6 | 0.200 | 1.20 | 0.020 |
| 89 | Claude Haiku 5.5 (Medium) | Anthropic | 34.5 | 0.100 | 0.500 | 0.010 |
| 90 | Claude Sonnet 5 (Xhigh) | Anthropic | 34.4 | 2.00 | 10.0 | 0.200 |
| 91 | GLM-5.3 (Low) | Z AI | 34.3 | 0.079 | 4.80 | 0.059 |
| 92 | DeepSeek V4 Flash 0731 (Max) | DeepSeek | 34.3 | 0.014 | 0.576 | 0.011 |
| 93 | GPT-6 Sol (Low) | OpenAI | 34.2 | 2.00 | 10.0 | 0.200 |
| 94 | GPT-5.6 Terra (High) | OpenAI | 34.2 | 2.00 | 12.0 | 0.200 |
| 95 | Gemini 3.6 Flash (High) | 34 | 0.750 | 3.75 | 0.075 | |
| 96 | JT-4.1 Flash 236B A21B (Reasoning) | China Mobile | 33.9 | — | — | — |
| 97 | GPT-5.5 (Medium) | OpenAI | 33.8 | 5.00 | 30.0 | 0.500 |
| 98 | Qwen3.8 27B (Xhigh) | Alibaba | 33.7 | 0.040 | 2.30 | 0.020 |
| 99 | Muse Spark 1.1 (Xhigh) | Meta | 33.7 | 1.25 | 4.25 | 0.150 |
| 100 | GLM-5.2 (Max) | Z AI | 33.7 | 0.060 | 7.00 | 0.059 |
| 101 | Gemini 3.5 Flash (Medium) | 33.6 | 1.50 | 9.00 | 0.150 | |
| 102 | Motif 3 | Motif Technologies | 33.6 | — | — | — |
| 103 | GPT-5.6 Sol (Low) | OpenAI | 33.5 | 2.00 | 10.0 | 0.200 |
| 104 | Gemini 3.8 Flash (Low) | 33.5 | 0.750 | 3.75 | 0.075 | |
| 105 | GPT-6 Luna (High) | OpenAI | 32.9 | 0.100 | 0.500 | 0.010 |
| 106 | Gemini 3.5 Flash (High) | 32.6 | 1.50 | 9.00 | 0.150 | |
| 107 | GPT-5.3 Codex (Xhigh) | OpenAI | 32.5 | 1.75 | 14.0 | 0.175 |
| 108 | Motif 3 (Beta) | Motif Technologies | 32.3 | — | — | — |
| 109 | GPT-5.6 Luna (High) | OpenAI | 32.1 | 0.200 | 1.20 | 0.020 |
| 110 | Claude Opus 4.6 (Max) | Anthropic | 31.9 | 5.00 | 25.0 | 0.500 |
| 111 | Claude Sonnet 5 (High) | Anthropic | 31.7 | 2.00 | 10.0 | 0.200 |
| 112 | Muse Spark | Meta | 31.3 | — | — | — |
| 113 | Claude Opus 4.7 (Non-reasoning, High) | Anthropic | 30.9 | 5.00 | 25.0 | 0.500 |
| 114 | GPT-5.5 (Low) | OpenAI | 30.7 | 5.00 | 30.0 | 0.500 |
| 115 | K2 Horizon 375B A23B | Institute of Foundation Models | 30.5 | — | — | — |
| 116 | GPT-5.2 (Xhigh) | OpenAI | 30.4 | 1.75 | 14.0 | 0.175 |
| 117 | DeepSeek V4 Pro 0424 (Max) | DeepSeek | 30.4 | 0.660 | 1.98 | 0.022 |
| 118 | GPT-5.6 Terra (Medium) | OpenAI | 30.1 | 2.00 | 12.0 | 0.200 |
| 119 | Kimi K3 (Low) | Kimi | 30.1 | 0.730 | 13.5 | 0.550 |
| 120 | DeepSeek V4 Pro 0424 (High) | DeepSeek | 30.1 | 0.660 | 1.98 | 0.022 |
| 121 | Claude Sonnet 4.6 (Max) | Anthropic | 30.1 | 3.00 | 15.0 | 0.300 |
| 122 | GPT-6 Luna (Medium) | OpenAI | 29.9 | 0.100 | 0.500 | 0.010 |
| 123 | Gemini 3.1 Pro Preview | 29.7 | 2.00 | 12.0 | 0.200 | |
| 124 | Claude Haiku 5.5 (Low) | Anthropic | 29.5 | 0.100 | 0.500 | 0.010 |
| 125 | Qwen3.7 Max | Alibaba | 29.5 | 1.48 | 4.42 | 0.295 |
| 126 |  MiniMax-M3 | MiniMax | 29.2 | 0.300 | 1.20 | 0.060 |
| 127 | Claude Opus 4.5 (Reasoning) | Anthropic | 29.1 | 5.00 | 25.0 | 0.500 |
| 128 | MiMo-V2-Pro | Xiaomi | 28.6 | — | — | — |
| 129 | GPT-5.2 Codex (Xhigh) | OpenAI | 28.5 | 1.75 | 14.0 | 0.175 |
| 130 | GPT-6 Sol (Non-reasoning) | OpenAI | 28.5 | 2.00 | 10.0 | 0.200 |
| 131 | Qwen3.6 Max Preview | Alibaba | 28.4 | — | — | — |
| 132 | GPT-5.6 Sol (Non-reasoning) | OpenAI | 28.3 | 2.00 | 10.0 | 0.200 |
| 133 | Solar Pro 4 | Upstage | 28.2 | — | — | — |
| 134 | Nex-N2-Pro (Based on Qwen3.5-397B-A17B) | Nex AGI | 28.2 | — | — | — |
| 135 | Claude Sonnet 5 (Medium) | Anthropic | 28.1 | 2.00 | 10.0 | 0.200 |
| 136 | Gemini 3 Pro Preview (High) | 28 | — | — | — | |
| 137 | GLM-5 (Reasoning) | Z AI | 27.9 | 0.600 | 1.92 | 0.120 |
| 138 | GPT-5.4 (Low) | OpenAI | 27.6 | 2.50 | 15.0 | 0.250 |
| 139 | Qwen3.8 27B (Medium) | Alibaba | 27.6 | 0.040 | 2.30 | 0.020 |
| 140 | GPT-5.6 Terra (Low) | OpenAI | 27.5 | 2.00 | 12.0 | 0.200 |
| 141 | JT-4.1 Flash 236B A21B (Non-reasoning) | China Mobile | 27.3 | — | — | — |
| 142 | Grok Build 0.1 0616 | SpaceXAI | 27.2 | 1.00 | 2.00 | 0.200 |
| 143 | Kimi K2.6 (Reasoning) | Kimi | 27 | 0.650 | 3.41 | 0.150 |
| 144 | Qwen3.6 Plus | Alibaba | 27 | 0.325 | 1.95 | — |
| 145 | Quasar 438B (Max, Based on GLM-5.2) | Multiverse Computing | 26.7 | — | — | — |
| 146 | GLM-5-Turbo | Z AI | 26.6 | 1.20 | 4.00 | 0.240 |
| 147 | GPT-5.2 (Medium) | OpenAI | 26.5 | 1.75 | 14.0 | 0.175 |
| 148 | Apodex 1.1 | Apodex | 26.4 | — | — | — |
| 149 | Claude Opus 4.6 (Non-reasoning, High) | Anthropic | 26.4 | 5.00 | 25.0 | 0.500 |
| 150 | Gemini 3 Flash Preview (Reasoning) | 26.3 | 0.500 | 3.00 | 0.050 | |
| 151 | Qwen3.8 27B (Low) | Alibaba | 26.2 | 0.040 | 2.30 | 0.020 |
| 152 | GLM-5.1 (Reasoning) | Z AI | 26.1 | 0.966 | 3.04 | 0.179 |
| 153 | MiMo-V2.5-Pro (Reasoning) | Xiaomi | 26 | 0.435 | 0.870 | 0.0036 |
| 154 | GPT-5.5 Instant (June 2026) | OpenAI | 26 | 5.00 | 30.0 | 0.500 |
| 155 | Kimi K2.7 Code | Kimi | 25.8 | 0.671 | 3.35 | 0.180 |
| 156 |  Inkling Small | Thinking Machines | 25.7 | 0.450 | 1.20 | 0.100 |
| 157 | Grok 4.20 0309 v2 (Reasoning) | SpaceXAI | 25.7 | — | — | — |
| 158 | K2 Horizon MoVA 36B A4B | Institute of Foundation Models | 25.3 | — | — | — |
| 159 |  Hy3 | Tencent | 25.3 | 0.132 | 0.528 | 0.033 |
| 160 | Grok 4.20 0309 (Reasoning) | SpaceXAI | 25.2 | 1.25 | 2.50 | 0.200 |
| 161 | MiMo-V2.5 | Xiaomi | 25.2 | 0.140 | 0.280 | 0.0028 |
| 162 | Qwen3.7 Plus | Alibaba | 25.2 | 0.320 | 1.28 | 0.064 |
| 163 | MiMo-V2-Omni-0327 | Xiaomi | 25.1 | — | — | — |
| 164 | Inkling (Xhigh) | Thinking Machines | 25 | 1.00 | 4.05 | 0.170 |
| 165 | GPT-5.6 Luna (Medium) | OpenAI | 25 | 0.200 | 1.20 | 0.020 |
| 166 | GPT-5 Codex (High) | OpenAI | 24.9 | — | — | — |
| 167 | Grok 4.3 (High) | SpaceXAI | 24.9 | 1.25 | 2.50 | 0.200 |
| 168 | Grok 4.3 (Medium) | SpaceXAI | 24.8 | 1.25 | 2.50 | 0.200 |
| 169 | Claude Sonnet 4.6 (Non-reasoning, High) | Anthropic | 24.7 | 3.00 | 15.0 | 0.300 |
| 170 | GPT-5.1 (High) | OpenAI | 24.7 | 1.25 | 10.0 | 0.125 |
| 171 | DeepSeek V4.1 Flash (Non-reasoning) | DeepSeek | 24.7 | 0.045 | 0.891 | 0.0054 |
| 172 | Solar Open2 250B | Upstage | 24.7 | — | — | — |
| 173 | Ling-3.0-flash-VL | InclusionAI | 24.6 | 0.021 | 0.062 | 0.0042 |
| 174 | DeepSeek V4 Flash 0420 (High) | DeepSeek | 24.4 | 0.014 | 0.576 | 0.011 |
| 175 | Claude Sonnet 5 (Low) | Anthropic | 24.3 | 2.00 | 10.0 | 0.200 |
| 176 | Grok 4.3 (Low) | SpaceXAI | 24.3 | 1.25 | 2.50 | 0.200 |
| 177 | GLM-5.1 (Non-reasoning) | Z AI | 24.2 | 0.966 | 3.04 | 0.179 |
| 178 | DeepSeek V4 Flash 0420 (Max) | DeepSeek | 24.2 | 0.014 | 0.576 | 0.011 |
| 179 | Solar Mini 4 | Upstage | 24.1 | — | — | — |
| 180 | GPT-5.4 mini (Xhigh) | OpenAI | 24.1 | 0.750 | 4.50 | 0.075 |
| 181 | MiMo-V2-Omni | Xiaomi | 23.9 | — | — | — |
| 182 | Gemini 3.5 Flash (Minimal) | 23.8 | 1.50 | 9.00 | 0.150 | |
| 183 | GPT-5.1 Codex (High) | OpenAI | 23.7 | 1.25 | 10.0 | 0.125 |
| 184 | Claude Opus 4.5 (Non-reasoning) | Anthropic | 23.7 | 5.00 | 25.0 | 0.500 |
| 185 | Kimi K2.6 (Non-reasoning) | Kimi | 23.6 | 0.650 | 3.41 | 0.150 |
| 186 | GLM 5V Turbo (Reasoning) | Z AI | 23.5 | 1.20 | 4.00 | 0.240 |
| 187 | Kimi K2.5 (Reasoning) | Kimi | 23.5 | 0.500 | 2.50 | 0.150 |
| 188 | Claude Sonnet 4.6 (Non-reasoning, Low) | Anthropic | 23.3 | 3.00 | 15.0 | 0.300 |
| 189 | GPT-5.5 (Non-reasoning) | OpenAI | 23.2 | 5.00 | 30.0 | 0.500 |
| 190 | Claude Sonnet 5 (Non-reasoning, High) | Anthropic | 23.2 | 2.00 | 10.0 | 0.200 |
| 191 | GPT-5 (High) | OpenAI | 23 | 1.25 | 10.0 | 0.125 |
| 192 | Qwen3.5 27B (Reasoning) | Alibaba | 22.9 | 0.260 | 2.60 | — |
| 193 |  Nemotron 3 Ultra 550B A55B (Reasoning) | NVIDIA | 22.9 | 0.600 | 2.40 | 0.120 |
| 194 | GPT-5 (Medium) | OpenAI | 22.9 | 1.25 | 10.0 | 0.125 |
| 195 | MiniMax-M2.5 | MiniMax | 22.8 | 0.270 | 1.08 | 0.027 |
| 196 | MiniMax-M2.7 | MiniMax | 22.8 | 0.300 | 1.20 | 0.060 |
| 197 | Claude 4.1 Opus (Reasoning) | Anthropic | 22.8 | 15.0 | 75.0 | 1.50 |
| 198 | Hy3-preview (Reasoning) | Tencent | 22.7 | 0.132 | 0.528 | 0.033 |
| 199 | GPT-5.5 Instant (May 2026) | OpenAI | 22.7 | 5.00 | 30.0 | 0.500 |
| 200 | Ling-3.0-flash-Fin | InclusionAI | 22.6 | 0.042 | 0.123 | 0.0084 |
| 201 | Grok 4 | SpaceXAI | 22.5 | — | — | — |
| 202 | MiMo-V2-Flash (Feb 2026) | Xiaomi | 22.4 | — | — | — |
| 203 | GLM-5.2 (Non-reasoning) | Z AI | 22.4 | 0.060 | 7.00 | 0.059 |
| 204 | Gemini 3 Pro Preview (Low) | 22.3 | — | — | — | |
| 205 | Gemini 3.5 Flash-Lite | 22.2 | 0.300 | 2.50 | 0.030 | |
| 206 | GLM-4.7 (Reasoning) | Z AI | 22.2 | 0.600 | 2.20 | 0.110 |
| 207 | Kimi K2 Thinking | Kimi | 22 | 0.600 | 2.50 | 0.150 |
| 208 | o3-pro | OpenAI | 21.9 | 20.0 | 80.0 | — |
| 209 | G9v3-39A5B | AI9Stars | 21.8 | — | — | — |
| 210 | GLM-5 (Non-reasoning) | Z AI | 21.8 | 0.600 | 1.92 | 0.120 |
| 211 | KAT Coder Pro V2 | KwaiKAT | 21.7 | — | — | — |
| 212 | A.X-K2 | SK Telecom | 21.5 | — | — | — |
| 213 | GPT-6 Luna (Low) | OpenAI | 21.5 | 0.100 | 0.500 | 0.010 |
| 214 | DeepSeek V3.2 (Reasoning) | DeepSeek | 21.5 | 0.259 | 0.800 | 0.140 |
| 215 | Qwen3.5 397B A17B (Non-reasoning) | Alibaba | 21.4 | 0.550 | 3.50 | 0.225 |
| 216 | Qwen3.6 27B (Reasoning) | Alibaba | 21.4 | 0.320 | 3.20 | — |
| 217 | Qwen3 Max Thinking | Alibaba | 21.3 | — | — | — |
| 218 | GPT-5.6 Luna (Low) | OpenAI | 21 | 0.200 | 1.20 | 0.020 |
| 219 | MiniMax-M2.1 | MiniMax | 20.9 | 0.300 | 1.20 | 0.030 |
| 220 | DeepSeek V4 Pro 0424 (Non-reasoning) | DeepSeek | 20.8 | 0.660 | 1.98 | 0.022 |
| 221 | GPT-5 (Low) | OpenAI | 20.8 | 1.25 | 10.0 | 0.125 |
| 222 | GPT-5.6 Terra (Non-reasoning) | OpenAI | 20.8 | 2.00 | 12.0 | 0.200 |
| 223 | MiMo-V2-Flash (Reasoning) | Xiaomi | 20.8 | — | — | — |
| 224 | Claude 4.5 Sonnet (Reasoning) | Anthropic | 20.7 | 3.00 | 15.0 | 0.300 |
| 225 | GPT-5.4 nano (Xhigh) | OpenAI | 20.7 | 0.200 | 1.25 | 0.020 |
| 226 | K2 Horizon 7B | Institute of Foundation Models | 20.6 | — | — | — |
| 227 | Claude 4 Opus (Reasoning) | Anthropic | 20.6 | — | — | — |
| 228 | GPT-5 mini (Medium) | OpenAI | 20.6 | 0.250 | 2.00 | 0.025 |
| 229 | Qwen3.5 Omni Plus | Alibaba | 20.4 | — | — | — |
| 230 | Grok 4.1 Fast (Reasoning) | SpaceXAI | 20.4 | — | — | — |
| 231 | DeepSeek V4 Pro 0813 (Non-reasoning) | DeepSeek | 20.4 | 0.660 | 1.98 | 0.022 |
| 232 | GPT-5.1 Codex mini (High) | OpenAI | 20.4 | 0.250 | 2.00 | 0.030 |
| 233 | o3 | OpenAI | 20.2 | 2.00 | 8.00 | 0.500 |
| 234 | Qwen3.8 27B (Non-reasoning) | Alibaba | 20.2 | 0.040 | 2.30 | 0.020 |
| 235 | Ling 3.0 Flash | InclusionAI | 20.1 | 0.021 | 0.063 | 0.0042 |
| 236 | GPT-5.4 nano (Medium) | OpenAI | 20 | 0.200 | 1.25 | 0.020 |
| 237 | Qwen3.6 27B (Non-reasoning) | Alibaba | 19.8 | 0.320 | 3.20 | — |
| 238 | K-EXAONE 2.0 0803 | LG AI Research | 19.7 | — | — | — |
| 239 | GPT-5.4 mini (Medium) | OpenAI | 19.7 | 0.750 | 4.50 | 0.075 |
| 240 | Step 3.7 Flash | StepFun | 19.5 | 0.200 | 1.15 | 0.040 |
| 241 | Qwen3.5 27B (Non-reasoning) | Alibaba | 19.4 | 0.260 | 2.60 | — |
| 242 | Kimi K2.5 (Non-reasoning) | Kimi | 19.4 | 0.500 | 2.50 | 0.150 |
| 243 | Qwen3.5 35B A3B (Reasoning) | Alibaba | 19.3 | 0.080 | 0.750 | 0.040 |
| 244 | Claude 4.5 Sonnet (Non-reasoning) | Anthropic | 19.3 | 3.00 | 15.0 | 0.300 |
| 245 | LongCat 2.0 | LongCat | 19.1 | 0.300 | 1.20 | 0.0060 |
| 246 | Claude 4 Sonnet (Reasoning) | Anthropic | 18.9 | 3.00 | 15.0 | 0.300 |
| 247 | DeepSeek V4 Flash 0420 (Non-reasoning) | DeepSeek | 18.9 | 0.014 | 0.576 | 0.011 |
| 248 | JT-35B-Flash | China Mobile | 18.7 | — | — | — |
| 249 | Claude 4.1 Opus (Non-reasoning) | Anthropic | 18.6 | 15.0 | 75.0 | 1.50 |
| 250 | MiniMax-M2 | MiniMax | 18.6 | 0.300 | 1.20 | — |
| 251 | KAT-Coder-Pro V1 | KwaiKAT | 18.6 | — | — | — |
| 252 | GPT-6 Luna (Non-reasoning) | OpenAI | 18.5 | 0.100 | 0.500 | 0.010 |
| 253 | GLM-4.6 (Reasoning) | Z AI | 18.5 | 0.500 | 2.00 | 0.100 |
| 254 | Qwen3.5 397B A17B (Reasoning) | Alibaba | 18.4 | 0.550 | 3.50 | 0.225 |
| 255 | MiMo-V2.5-Pro (Non-reasoning) | Xiaomi | 18.3 | 0.435 | 0.870 | 0.0036 |
| 256 | GPT-5.4 (Non-reasoning) | OpenAI | 18.2 | 2.50 | 15.0 | 0.250 |
| 257 | Qwen3.6 35B A3B (Reasoning) | Alibaba | 18.2 | 0.100 | 0.950 | 0.100 |
| 258 | Grok 4 Fast (Reasoning) | SpaceXAI | 17.9 | — | — | — |
| 259 | Gemini 3 Flash Preview (Non-reasoning) | 17.9 | 0.500 | 3.00 | 0.050 | |
| 260 | Qwen3.5 122B A10B (Non-reasoning) | Alibaba | 17.7 | 0.260 | 2.08 | — |
| 261 | Claude 3.7 Sonnet (Reasoning) | Anthropic | 17.7 | — | — | — |
| 262 | Muse Glimmer (High) | Meta | 17.5 | — | — | — |
| 263 | GLM-4.7 (Non-reasoning) | Z AI | 17.4 | 0.600 | 2.20 | 0.110 |
| 264 | Step 3.5 Flash 2603 | StepFun | 17 | 0.100 | 0.300 | — |
| 265 | Ling-2.6-1T | InclusionAI | 17 | — | — | — |
| 266 | GPT-5.2 (Non-reasoning) | OpenAI | 17 | 1.75 | 14.0 | 0.175 |
| 267 | Hy3-preview (Non-reasoning) | Tencent | 17 | 0.132 | 0.528 | 0.033 |
| 268 | Doubao Seed Code | ByteDance Seed | 16.9 | — | — | — |
| 269 | Claude 4.5 Haiku (Reasoning) | Anthropic | 16.9 | 1.00 | 5.00 | 0.100 |
| 270 | GPT-5 mini (High) | OpenAI | 16.8 | 0.250 | 2.00 | 0.025 |
| 271 | Gemma 4 26B A4B (Reasoning) | 16.7 | 0.076 | 0.255 | 0.043 | |
| 272 | o4-mini (High) | OpenAI | 16.7 | 1.10 | 4.40 | 0.275 |
| 273 | Claude 4 Opus (Non-reasoning) | Anthropic | 16.6 | — | — | — |
| 274 | DeepSeek V3.2 Exp (Reasoning) | DeepSeek | 16.6 | 0.259 | 0.800 | 0.140 |
| 275 | Step 3.5 Flash | StepFun | 16.6 | 0.100 | 0.300 | — |
| 276 | Claude 4 Sonnet (Non-reasoning) | Anthropic | 16.6 | 3.00 | 15.0 | 0.300 |
| 277 | Ring-2.6-1T | InclusionAI | 16.6 | — | — | — |
| 278 | Qwen3 Max Thinking (Preview) | Alibaba | 16.3 | — | — | — |
| 279 | Gemini 2.5 Pro | 16.1 | 1.25 | 10.0 | 0.125 | |
| 280 | DeepSeek V3.2 (Non-reasoning) | DeepSeek | 16 | 0.259 | 0.800 | 0.140 |
| 281 | MiMo-V2-Flash (Non-reasoning) | Xiaomi | 16 | — | — | — |
| 282 | Qwen3.5 122B A10B (Reasoning) | Alibaba | 15.6 | 0.260 | 2.08 | — |
| 283 | K2 Horizon 3.7B | Institute of Foundation Models | 15.6 | — | — | — |
| 284 | Gemini 3.1 Flash-Lite | 15.6 | 0.250 | 1.50 | 0.025 | |
| 285 | Qwen3 Max | Alibaba | 15.6 | — | — | — |
| 286 | Gemini 2.5 Flash Preview (Sep '25) (Reasoning) | 15.5 | 0.300 | 2.50 | 0.030 | |
| 287 | GPT-5.6 Luna (Non-reasoning) | OpenAI | 15.5 | 0.200 | 1.20 | 0.020 |
| 288 | Claude 4.5 Haiku (Non-reasoning) | Anthropic | 15.4 | 1.00 | 5.00 | 0.100 |
| 289 | Kimi K2 0905 | Kimi | 15.3 | 0.600 | 2.50 | 0.150 |
| 290 | Claude 3.7 Sonnet (Non-reasoning) | Anthropic | 15.3 | — | — | — |
| 291 | o1 | OpenAI | 15.2 | 15.0 | 60.0 | 7.50 |
| 292 | Qwen3.6 35B A3B (Non-reasoning) | Alibaba | 15.2 | 0.100 | 0.950 | 0.100 |
| 293 | Qwen3.5 35B A3B (Non-reasoning) | Alibaba | 15.1 | 0.080 | 0.750 | 0.040 |
| 294 | Gemini 2.5 Pro Preview (Mar' 25) | 15 | 1.25 | 10.0 | 0.125 | |
| 295 | GLM-4.7-Flash (Reasoning) | Z AI | 14.9 | 0.060 | 0.400 | — |
| 296 | GLM-4.6 (Non-reasoning) | Z AI | 14.9 | 0.500 | 2.00 | 0.100 |
| 297 | DeepSeek V3.1 Terminus (Reasoning) | DeepSeek | 14.8 | 0.270 | 1.00 | — |
| 298 | Gemma 4 31B (Reasoning) | 14.7 | 0.090 | 0.340 | 0.050 | |
| 299 | Grok 4.20 0309 (Non-reasoning) | SpaceXAI | 14.6 | 1.25 | 2.50 | 0.200 |
| 300 | Grok 3 mini Reasoning (High) | SpaceXAI | 14.6 | — | — | — |
| 301 | Gemini 2.5 Pro Preview (May' 25) | 14.5 | 1.25 | 10.0 | 0.125 | |
| 302 | DeepSeek V3.2 Speciale | DeepSeek | 14.5 | — | — | — |
| 303 | K-EXAONE (Reasoning) | LG AI Research | 14.4 | — | — | — |
| 304 |  ERNIE 5.0 Thinking Preview | Baidu | 14.3 | — | — | — |
| 305 |  Nova 2.0 Pro Preview (Medium) | Amazon | 14.2 | — | — | — |
| 306 | Grok 4.20 0309 v2 (Non-reasoning) | SpaceXAI | 14.2 | — | — | — |
| 307 | Mistral Medium 3.5 | Mistral | 14.2 | 1.50 | 7.50 | — |
| 308 | Gemma 4 12B (Reasoning) | 14.2 | — | — | — | |
| 309 | Grok Code Fast 1 | SpaceXAI | 14.1 | — | — | — |
| 310 | Grok 4.3 (Non-reasoning) | SpaceXAI | 14 | 1.25 | 2.50 | 0.200 |
| 311 | DeepSeek V3.2 Exp (Non-reasoning) | DeepSeek | 13.9 | 0.259 | 0.800 | 0.140 |
| 312 | Gemma 4 31B (Non-reasoning) | 13.9 | 0.090 | 0.340 | 0.050 | |
| 313 | DeepSeek V3.1 Terminus (Non-reasoning) | DeepSeek | 13.9 | 0.270 | 1.00 | — |
| 314 | Mercury 2 | Inception | 13.8 | 0.250 | 0.750 | 0.025 |
| 315 | Apriel-v1.5-15B-Thinker | ServiceNow | 13.8 | — | — | — |
| 316 | DeepSeek V3.1 (Non-reasoning) | DeepSeek | 13.7 | — | — | — |
| 317 | Nova 2.0 Omni (Medium) | Amazon | 13.6 | — | — | — |
| 318 | DeepSeek V3.1 (Reasoning) | DeepSeek | 13.5 | — | — | — |
| 319 | Nova 2.0 Lite (High) | Amazon | 13.4 | — | — | — |
| 320 | Apriel-v1.6-15B-Thinker | ServiceNow | 13.4 | — | — | — |
| 321 | Qwen3 VL 235B A22B (Reasoning) | Alibaba | 13.4 | — | — | — |
| 322 | Qwen3.5 9B (Non-reasoning) | Alibaba | 13.3 | 0.100 | 0.150 | — |
| 323 | GPT-5.1 (Non-reasoning) | OpenAI | 13.3 | 1.25 | 10.0 | 0.125 |
| 324 | EXAONE 4.5 33B (Reasoning) | LG AI Research | 13.2 | — | — | — |
| 325 | Gemini 2.5 Flash (Reasoning) | 13.1 | 0.300 | 2.50 | 0.030 | |
| 326 | Command A+ | Cohere | 13.1 | — | — | — |
| 327 | Qwen3.5 4B (Reasoning) | Alibaba | 13.1 | — | — | — |
| 328 | Gemma 4 26B A4B (Non-reasoning) | 13.1 | 0.076 | 0.255 | 0.043 | |
| 329 | DeepSeek R1 0528 (May '25) | DeepSeek | 13.1 | 0.500 | 2.15 | 0.350 |
| 330 | GPT-5 nano (High) | OpenAI | 13 | 0.050 | 0.400 | 0.0050 |
| 331 | Nemotron 3.5 Lightning | NVIDIA | 12.9 | 0.070 | 0.200 | 0.040 |
| 332 | GLM-4.5 (Reasoning) | Z AI | 12.8 | 0.600 | 2.20 | 0.110 |
| 333 | Nemotron 3 Super 120B A12B (Reasoning) | NVIDIA | 12.8 | 0.080 | 0.450 | — |
| 334 | Nova 2.0 Pro Preview (Low) | Amazon | 12.8 | — | — | — |
| 335 |  Granite 4.2 30B | IBM | 12.7 | — | — | — |
| 336 | GPT-4.1 | OpenAI | 12.7 | 2.00 | 8.00 | 0.500 |
| 337 | Kimi K2 | Kimi | 12.7 | 0.600 | 2.50 | 0.150 |
| 338 | Qwen3 235B A22B 2507 (Reasoning) | Alibaba | 12.7 | 0.450 | 3.50 | — |
| 339 | Qwen3 Max (Preview) | Alibaba | 12.6 | — | — | — |
| 340 | o3-mini | OpenAI | 12.5 | 1.10 | 4.40 | 0.550 |
| 341 | MiniCPM5-2B | OpenBMB | 12.5 | — | — | — |
| 342 | Qwen3.5 Omni Flash | Alibaba | 12.5 | — | — | — |
| 343 | GPT-5 nano (Medium) | OpenAI | 12.5 | 0.050 | 0.400 | 0.0050 |
| 344 | Nova 2.0 Lite (Medium) | Amazon | 12.5 | — | — | — |
| 345 | Gemini 2.5 Flash Preview (Sep '25) (Non-reasoning) | 12.4 | 0.300 | 2.50 | 0.030 | |
| 346 | o1-pro | OpenAI | 12.4 | 150 | 600 | — |
| 347 | Mercury 2.5 | Inception | 12.3 | 0.040 | 0.150 | 0.0040 |
| 348 | JT-MINI | China Mobile | 12.2 | — | — | — |
| 349 | Grok 3 | SpaceXAI | 12.1 | — | — | — |
| 350 | Seed-OSS-36B-Instruct | ByteDance Seed | 12.1 | — | — | — |
| 351 | Qwen3 235B A22B 2507 Instruct | Alibaba | 12 | — | — | — |
| 352 | Qwen3 Coder 480B A35B Instruct | Alibaba | 11.9 | — | — | — |
| 353 | Qwen3 VL 32B (Reasoning) | Alibaba | 11.9 | — | — | — |
| 354 |  Sonar Reasoning Pro | Perplexity | 11.8 | 2.00 | 8.00 | — |
| 355 | Nova 2.0 Lite (Low) | Amazon | 11.8 | — | — | — |
| 356 | Magistral Medium 1.2 | Mistral | 11.8 | — | — | — |
| 357 | HyperNova 60B 2605 (High, Based on gpt-oss-120b) | Multiverse Computing | 11.7 | — | — | — |
| 358 | Gemini 2.5 Flash Preview (Reasoning) | 11.7 | 0.300 | 2.50 | 0.030 | |
| 359 | Nemotron Cascade 2 30B A3B | NVIDIA | 11.7 | — | — | — |
| 360 | MiniMax M1 80k | MiniMax | 11.7 | 0.550 | 2.20 | — |
| 361 | GPT-5.4 nano (Non-reasoning) | OpenAI | 11.7 | 0.200 | 1.25 | 0.020 |
| 362 | gpt-oss-120b (High) | OpenAI | 11.6 | 0.150 | 0.600 | 0.075 |
| 363 | K2 Think V2 | Institute of Foundation Models | 11.5 | — | — | — |
| 364 | LongCat Flash Lite | LongCat | 11.5 | — | — | — |
| 365 | o1-preview | OpenAI | 11.4 | 15.0 | 60.0 | 7.50 |
| 366 | DeepSeek R1 (Jan '25) | DeepSeek | 11.4 | 0.500 | 2.15 | 0.350 |
| 367 | HyperCLOVA X SEED Think (32B) | Naver | 11.4 | — | — | — |
| 368 | GPT-5 (Minimal) | OpenAI | 11.4 | 1.25 | 10.0 | 0.125 |
| 369 | Mistral Small 4 (Reasoning) | Mistral | 11.3 | — | — | — |
| 370 | Grok 4.1 Fast (Non-reasoning) | SpaceXAI | 11.3 | — | — | — |
| 371 | Qwen3.5 9B (Reasoning) | Alibaba | 11.2 | 0.100 | 0.150 | — |
| 372 | K-EXAONE (Non-reasoning) | LG AI Research | 11.2 | — | — | — |
| 373 | Qwen3 Next 80B A3B (Reasoning) | Alibaba | 11.2 | 0.150 | 1.20 | — |
| 374 | GLM-4.6V (Reasoning) | Z AI | 11.2 | 0.300 | 0.900 | 0.055 |
| 375 | Grok 4 Fast (Non-reasoning) | SpaceXAI | 11.1 | — | — | — |
| 376 | GLM-4.5-Air | Z AI | 11.1 | 0.130 | 0.850 | 0.025 |
| 377 | Ling 3.0 Tiny | InclusionAI | 11.1 | — | — | — |
| 378 | Granite 4.2 8B | IBM | 11.1 | 0.060 | 0.250 | 0.015 |
| 379 | GPT-5.4 mini (Non-reasoning) | OpenAI | 11.1 | 0.750 | 4.50 | 0.075 |
| 380 | Nova 2.0 Omni (Low) | Amazon | 11.1 | — | — | — |
| 381 | o3-mini (High) | OpenAI | 11 | 1.10 | 4.40 | 0.550 |
| 382 | Mi:dm K 2.5 Pro | Korea Telecom | 11 | — | — | — |
| 383 | Ring-1T | InclusionAI | 10.9 | — | — | — |
| 384 | G9v3-3B | AI9Stars | 10.8 | — | — | — |
| 385 | Qwen3.5 4B (Non-reasoning) | Alibaba | 10.8 | — | — | — |
| 386 | Trinity Large Thinking | Arcee AI | 10.8 | 0.250 | 0.800 | 0.060 |
| 387 | INTELLECT-3 (Based on GLM-4.5-Air) | Prime Intellect | 10.6 | — | — | — |
| 388 | GLM-4.7-Flash (Non-reasoning) | Z AI | 10.6 | 0.060 | 0.400 | — |
| 389 | Solar Open 100B (Reasoning) | Upstage | 10.4 | — | — | — |
| 390 | Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) | 10.4 | 0.100 | 0.400 | 0.010 | |
| 391 | GPT-5 (ChatGPT) | OpenAI | 10.4 | 1.25 | 10.0 | 0.125 |
| 392 | Grok 3 Reasoning Beta | SpaceXAI | 10.4 | — | — | — |
| 393 | Nemotron 3 Nano Omni 30B A3B Reasoning | NVIDIA | 10.3 | — | — | — |
| 394 | GPT-4.1 mini | OpenAI | 10.2 | 0.400 | 1.60 | 0.100 |
| 395 | gpt-oss-120b (Low) | OpenAI | 10.2 | 0.150 | 0.600 | 0.075 |
| 396 | gpt-oss-20b (Low) | OpenAI | 10 | 0.018 | 0.090 | 0.0090 |
| 397 | MiniMax M1 40k | MiniMax | 10 | 0.550 | 2.20 | — |
| 398 | Llama 4 Maverick | Meta | 10 | 0.188 | 0.652 | 0.050 |
| 399 | Nova 2.0 Pro Preview (Non-reasoning) | Amazon | 10 | — | — | — |
| 400 | North Mini Code | Cohere | 9.9 | — | — | — |
| 401 | Gemini 2.5 Flash (Non-reasoning) | 9.9 | 0.300 | 2.50 | 0.030 | |
| 402 | K2-V2 (High) | Institute of Foundation Models | 9.9 | — | — | — |
| 403 | GPT-5 mini (Minimal) | OpenAI | 9.9 | 0.250 | 2.00 | 0.025 |
| 404 | Qwen3 VL 235B A22B Instruct | Alibaba | 9.9 | 0.210 | 1.90 | 0.100 |
| 405 | Qwen3 30B A3B 2507 (Reasoning) | Alibaba | 9.8 | 0.120 | 0.500 | — |
| 406 | o1-mini | OpenAI | 9.8 | — | — | — |
| 407 | DeepSeek V3 0324 | DeepSeek | 9.7 | — | — | — |
| 408 | Ling 2.6 Flash | InclusionAI | 9.7 | — | — | — |
| 409 | Qwen3 Next 80B A3B Instruct | Alibaba | 9.6 | 0.100 | 1.10 | 0.070 |
| 410 | GPT-4.5 (Preview) | OpenAI | 9.6 | 2.50 | 15.0 | 0.250 |
| 411 | Tri-21B-think Preview | Trillion Labs | 9.6 | — | — | — |
| 412 | Qwen3 Coder 30B A3B Instruct | Alibaba | 9.6 | 0.070 | 0.280 | — |
| 413 | Qwen3 235B A22B (Reasoning) | Alibaba | 9.5 | 0.450 | 3.50 | — |
| 414 | DiffusionGemma 26B A4B | 9.5 | — | — | — | |
| 415 | Qwen3 VL 30B A3B (Reasoning) | Alibaba | 9.5 | 0.290 | 1.00 | — |
| 416 | QwQ 32B | Alibaba | 9.5 | — | — | — |
| 417 | Gemma 4 12B (Non-reasoning) | 9.4 | — | — | — | |
| 418 | Gemini 2.0 Flash Thinking Experimental (Jan '25) | 9.4 | — | — | — | |
| 419 | Mistral Large 3 | Mistral | 9.3 | — | — | — |
| 420 | Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-reasoning) | 9.3 | 0.100 | 0.400 | 0.010 | |
| 421 | Mistral Medium 3.1 | Mistral | 9.2 | 0.400 | 2.00 | 0.040 |
| 422 | Ling-1T | InclusionAI | 9.2 | — | — | — |
| 423 | Motif-2-12.7B-Reasoning | Motif Technologies | 9.2 | — | — | — |
| 424 | Nova Premier | Amazon | 9.2 | — | — | — |
| 425 | Qwen3 Coder Next | Alibaba | 9.2 | 0.120 | 0.800 | 0.070 |
| 426 | Granite 4.2 3B | IBM | 9.1 | — | — | — |
| 427 | Magistral Medium 1 | Mistral | 9.1 | — | — | — |
| 428 | Solar Pro 2 (Preview) (Reasoning) | Upstage | 9.1 | — | — | — |
| 429 | Mistral Small 4 (Non-reasoning) | Mistral | 9 | — | — | — |
| 430 | gpt-oss-20b (High) | OpenAI | 9 | 0.018 | 0.090 | 0.0090 |
| 431 | GPT-4o (March 2025, chatgpt-4o-latest) | OpenAI | 9 | 2.50 | 10.0 | 1.25 |
| 432 | Mistral Medium 3 | Mistral | 9 | 0.400 | 2.00 | 0.040 |
| 433 | Tri-21B-Think | Trillion Labs | 9 | — | — | — |
| 434 | Devstral Medium | Mistral | 9 | 0.400 | 2.00 | 0.040 |
| 435 | K2-V2 (Medium) | Institute of Foundation Models | 9 | — | — | — |
| 436 | Llama Nemotron Super 49B v1.5 (Reasoning) | NVIDIA | 9 | — | — | — |
| 437 | Claude 3.5 Haiku | Anthropic | 8.9 | — | — | — |
| 438 | Llama 3.3 Nemotron Super 49B v1 (Reasoning) | NVIDIA | 8.9 | — | — | — |
| 439 | NVIDIA Nemotron 3 Nano 30B A3B (Reasoning) | NVIDIA | 8.9 | — | — | — |
| 440 | Gemini 2.0 Flash (Feb '25) | 8.9 | — | — | — | |
| 441 | Gemma 4 E4B (Reasoning) | 8.9 | — | — | — | |
| 442 | Qwen3 4B 2507 (Reasoning) | Alibaba | 8.8 | — | — | — |
| 443 | Sarvam 105B (High) | Sarvam | 8.8 | — | — | — |
| 444 | MiniCPM5-1B (Reasoning) | OpenBMB | 8.8 | — | — | — |
| 445 | Sonar Reasoning | Perplexity | 8.7 | — | — | — |
| 446 | Gemini 2.5 Flash Preview (Non-reasoning) | 8.7 | 0.300 | 2.50 | 0.030 | |
| 447 | Nova 2.0 Lite (Non-reasoning) | Amazon | 8.7 | — | — | — |
| 448 | Claude 3 Opus | Anthropic | 8.7 | — | — | — |
| 449 | Gemini 2.0 Pro Experimental (Feb '25) | 8.7 | — | — | — | |
| 450 | Devstral Small (May '25) | Mistral | 8.7 | — | — | — |
| 451 | MiniCPM5-1B (Non-reasoning) | OpenBMB | 8.7 | — | — | — |
| 452 | Devstral 2 | Mistral | 8.6 | — | — | — |
| 453 | Magistral Small 1.2 | Mistral | 8.6 | — | — | — |
| 454 | Qwen3 32B (Reasoning) | Alibaba | 8.6 | 0.080 | 0.280 | — |
| 455 | DeepSeek V3 (Dec '24) | DeepSeek | 8.5 | — | — | — |
| 456 | Gemini 2.5 Flash-Lite (Reasoning) | 8.5 | 0.100 | 0.400 | 0.010 | |
| 457 | GLM-4.6V (Non-reasoning) | Z AI | 8.4 | 0.300 | 0.900 | 0.055 |
| 458 | Qwen3 VL 32B Instruct | Alibaba | 8.4 | — | — | — |
| 459 | Nanbeige4.1-3B | Nanbeige | 8.4 | — | — | — |
| 460 | GPT-4o (Nov '24) | OpenAI | 8.4 | 2.50 | 10.0 | 1.25 |
| 461 | DeepSeek R1 Distill Qwen 32B | DeepSeek | 8.4 | — | — | — |
| 462 | LFM2.5-2.6B | Liquid AI | 8.4 | — | — | — |
| 463 | Qwen3 235B A22B (Non-reasoning) | Alibaba | 8.3 | 0.450 | 3.50 | — |
| 464 | Magistral Small 1 | Mistral | 8.2 | — | — | — |
| 465 | Nova 2.0 Omni (Non-reasoning) | Amazon | 8.2 | — | — | — |
| 466 | Mistral Small 3.2 | Mistral | 8.2 | — | — | — |
| 467 | EXAONE 4.0 32B (Reasoning) | LG AI Research | 8.2 | — | — | — |
| 468 | Qwen3 14B (Reasoning) | Alibaba | 8.2 | 0.120 | 0.240 | — |
| 469 | Qwen3 VL 8B (Reasoning) | Alibaba | 8.2 | — | — | — |
| 470 | Gemini 2.0 Flash (experimental) | 8.2 | — | — | — | |
| 471 | DeepSeek R1 0528 Qwen3 8B | DeepSeek | 8.1 | — | — | — |
| 472 | Llama 4 Scout | Meta | 8.1 | 0.180 | 0.590 | — |
| 473 | Qwen2.5 Max | Alibaba | 8 | — | — | — |
| 474 | Claude 3.5 Sonnet (Oct '24) | Anthropic | 7.9 | — | — | — |
| 475 | Gemini 1.5 Pro (Sep '24) | 7.9 | — | — | — | |
| 476 | Solar Pro 2 (Preview) (Non-reasoning) | Upstage | 7.9 | — | — | — |
| 477 | DeepSeek R1 Distill Llama 70B | DeepSeek | 7.9 | — | — | — |
| 478 | Qwen3 VL 30B A3B Instruct | Alibaba | 7.9 | 0.150 | 0.600 | — |
| 479 | Hermes 4 - Llama-3.1 70B (Reasoning) | Nous Research | 7.9 | — | — | — |
| 480 | GPT-4.1 nano | OpenAI | 7.8 | 0.100 | 0.400 | 0.025 |
| 481 | Ling-flash-2.0 | InclusionAI | 7.8 | — | — | — |
| 482 | Gemma 4 E2B (Reasoning) | 7.8 | — | — | — | |
| 483 | DeepSeek R1 Distill Qwen 14B | DeepSeek | 7.8 | — | — | — |
| 484 | Solar Pro 3 | Upstage | 7.8 | 0.150 | 0.600 | 0.015 |
| 485 | Qwen3 Omni 30B A3B (Reasoning) | Alibaba | 7.8 | — | — | — |
| 486 | Falcon-H1R-7B | TII UAE | 7.8 | — | — | — |
| 487 | Sonar | Perplexity | 7.7 | 1.00 | 1.00 | — |
| 488 | GPT-4o (Aug '24) | OpenAI | 7.7 | 2.50 | 10.0 | 1.25 |
| 489 | Llama 3.3 Instruct 70B | Meta | 7.7 | 0.590 | 0.790 | 0.295 |
| 490 | Step3 VL 10B | StepFun | 7.7 | — | — | — |
| 491 | Qwen2.5 Instruct 72B | Alibaba | 7.7 | — | — | — |
| 492 | GLM-4.5V (Reasoning) | Z AI | 7.6 | 0.600 | 1.80 | 0.110 |
| 493 | Sonar Pro | Perplexity | 7.6 | 3.00 | 15.0 | — |
| 494 | Qwen3 30B A3B (Reasoning) | Alibaba | 7.6 | 0.120 | 0.500 | — |
| 495 | Mistral Large 2 (Nov '24) | Mistral | 7.6 | — | — | — |
| 496 | QwQ 32B-Preview | Alibaba | 7.6 | — | — | — |
| 497 | Devstral Small (Jul '25) | Mistral | 7.6 | — | — | — |
| 498 | Gemma 4 E4B (Non-reasoning) | 7.5 | — | — | — | |
| 499 | NVIDIA Nemotron Nano 12B v2 VL (Reasoning) | NVIDIA | 7.5 | — | — | — |
| 500 | Qwen3 30B A3B 2507 Instruct | Alibaba | 7.5 | 0.100 | 0.300 | — |
| 501 | Hermes 4 - Llama-3.1 405B (Reasoning) | Nous Research | 7.5 | — | — | — |
| 502 | ERNIE 4.5 300B A47B | Baidu | 7.5 | — | — | — |
| 503 | Devstral Small 2 | Mistral | 7.5 | — | — | — |
| 504 | Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) | NVIDIA | 7.5 | — | — | — |
| 505 | Solar Pro 2 (Reasoning) | Upstage | 7.5 | — | — | — |
| 506 | Llama Nemotron Super 49B v1.5 (Non-reasoning) | NVIDIA | 7.4 | — | — | — |
| 507 | Gemini 2.0 Flash-Lite (Feb '25) | 7.4 | — | — | — | |
| 508 | Hermes 4 - Llama-3.1 405B (Non-reasoning) | Nous Research | 7.4 | — | — | — |
| 509 | Granite 4.1 30B | IBM | 7.4 | — | — | — |
| 510 | NVIDIA Nemotron Nano 9B V2 (Reasoning) | NVIDIA | 7.4 | — | — | — |
| 511 | Qwen3 VL 8B Instruct | Alibaba | 7.3 | 0.250 | 0.750 | 0.120 |
| 512 | Gemini 2.0 Flash-Lite (Preview) | 7.3 | — | — | — | |
| 513 | Llama 3.1 Instruct 405B | Meta | 7.3 | — | — | — |
| 514 | Kimi Linear 48B A3B Instruct | Kimi | 7.3 | — | — | — |
| 515 | Qwen3 8B (Reasoning) | Alibaba | 7.3 | — | — | — |
| 516 | Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) | NVIDIA | 7.3 | — | — | — |
| 517 | Qwen3 32B (Non-reasoning) | Alibaba | 7.3 | 0.080 | 0.280 | — |
| 518 | Llama 3.3 Nemotron Super 49B v1 (Non-reasoning) | NVIDIA | 7.3 | — | — | — |
| 519 | K2-V2 (Low) | Institute of Foundation Models | 7.3 | — | — | — |
| 520 | GPT-4o (May '24) | OpenAI | 7.3 | 2.50 | 10.0 | 1.25 |
| 521 | Qwen3 4B (Reasoning) | Alibaba | 7.2 | — | — | — |
| 522 | Ring-flash-2.0 | InclusionAI | 7.2 | — | — | — |
| 523 | Claude 3.5 Sonnet (June '24) | Anthropic | 7.2 | — | — | — |
| 524 | GPT-4o (ChatGPT) | OpenAI | 7.2 | 2.50 | 10.0 | 1.25 |
| 525 | LFM2.5-8B-A1B | Liquid AI | 7.2 | — | — | — |
| 526 | Llama 3.1 Tulu3 405B | Allen Institute for AI | 7.2 | — | — | — |
| 527 | GPT-5 nano (Minimal) | OpenAI | 7.1 | 0.050 | 0.400 | 0.0050 |
| 528 | Mistral Small 3.1 | Mistral | 7.1 | — | — | — |
| 529 | Grok 2 (Dec '24) | SpaceXAI | 7.1 | — | — | — |
| 530 | Olmo 3.1 32B Think | Allen Institute for AI | 7.1 | — | — | — |
| 531 | Gemini 1.5 Flash (Sep '24) | 7.1 | — | — | — | |
| 532 | Pixtral Large | Mistral | 7.1 | — | — | — |
| 533 | Command A | Cohere | 7 | 2.50 | 10.0 | — |
| 534 | Solar Pro 2 (Non-reasoning) | Upstage | 7 | — | — | — |
| 535 | Nova Pro | Amazon | 7 | — | — | — |
| 536 | GPT-4 Turbo | OpenAI | 7 | 10.0 | 30.0 | — |
| 537 | Qwen3 VL 4B (Reasoning) | Alibaba | 7 | — | — | — |
| 538 | Qwen2.5 Instruct 32B | Alibaba | 6.9 | — | — | — |
| 539 | Qwen3.5 2B (Reasoning) | Alibaba | 6.9 | — | — | — |
| 540 | Llama 3.1 Nemotron Instruct 70B | NVIDIA | 6.9 | — | — | — |
| 541 | Llama 3.1 Instruct 8B | Meta | 6.9 | 0.050 | 0.080 | 0.025 |
| 542 | Grok Beta | SpaceXAI | 6.9 | 2.00 | 6.00 | 0.500 |
| 543 | Mistral Large 2 (Jul '24) | Mistral | 6.8 | — | — | — |
| 544 | NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) | NVIDIA | 6.8 | — | — | — |
| 545 | NVIDIA Nemotron Nano 9B V2 (Non-reasoning) | NVIDIA | 6.8 | — | — | — |
| 546 | GLM-4.5V (Non-reasoning) | Z AI | 6.7 | 0.600 | 1.80 | 0.110 |
| 547 | Qwen2.5 Coder Instruct 32B | Alibaba | 6.7 | — | — | — |
| 548 | Gemini 2.5 Flash-Lite (Non-reasoning) | 6.7 | 0.100 | 0.400 | 0.010 | |
| 549 | Hermes 4 - Llama-3.1 70B (Non-reasoning) | Nous Research | 6.7 | — | — | — |
| 550 | Nova Lite | Amazon | 6.7 | — | — | — |
| 551 | GPT-4 | OpenAI | 6.7 | 30.0 | 60.0 | — |
| 552 | Qwen3 4B 2507 Instruct | Alibaba | 6.7 | — | — | — |
| 553 | GPT-4o mini | OpenAI | 6.7 | 0.150 | 0.600 | 0.075 |
| 554 | Mistral Small 3 | Mistral | 6.7 | — | — | — |
| 555 | Qwen3 14B (Non-reasoning) | Alibaba | 6.7 | 0.120 | 0.240 | — |
| 556 | Llama 3.1 Instruct 70B | Meta | 6.6 | 0.400 | 0.400 | — |
| 557 | Sarvam 30B (High) | Sarvam | 6.6 | — | — | — |
| 558 | Granite 4.1 8B | IBM | 6.6 | — | — | — |
| 559 | DeepSeek-V2.5 | DeepSeek | 6.6 | — | — | — |
| 560 | DeepSeek-V2.5 (Dec '24) | DeepSeek | 6.6 | — | — | — |
| 561 | Gemini 2.0 Flash Thinking Experimental (Dec '24) | 6.6 | — | — | — | |
| 562 | Qwen3 4B (Non-reasoning) | Alibaba | 6.6 | — | — | — |
| 563 | Qwen3 30B A3B (Non-reasoning) | Alibaba | 6.6 | 0.120 | 0.500 | — |
| 564 | DeepSeek R1 Distill Llama 8B | DeepSeek | 6.5 | — | — | — |
| 565 | Gemma 4 E2B (Non-reasoning) | 6.5 | — | — | — | |
| 566 | Mistral Saba | Mistral | 6.5 | 0.200 | 0.600 | 0.020 |
| 567 | Olmo 3.1 32B Instruct | Allen Institute for AI | 6.5 | — | — | — |
| 568 | Olmo 3 32B Think | Allen Institute for AI | 6.5 | — | — | — |
| 569 | Gemini 1.5 Pro (May '24) | 6.4 | — | — | — | |
| 570 | Qwen2.5 Turbo | Alibaba | 6.4 | — | — | — |
| 571 | R1 1776 | Perplexity | 6.4 | — | — | — |
| 572 | Llama 3.2 Instruct 90B (Vision) | Meta | 6.4 | — | — | — |
| 573 | Reka Flash (Sep '24) | Reka AI | 6.4 | — | — | — |
| 574 | Solar Mini | Upstage | 6.4 | — | — | — |
| 575 | EXAONE 4.0 32B (Non-reasoning) | LG AI Research | 6.3 | — | — | — |
| 576 | Grok-1 | SpaceXAI | 6.3 | — | — | — |
| 577 | Qwen2 Instruct 72B | Alibaba | 6.3 | — | — | — |
| 578 | Celeris-1 | Celeris | 6.3 | — | — | — |
| 579 | Microsoft | 6.3 | — | — | — | |
| 580 | Qwen3.5 2B (Non-reasoning) | Alibaba | 6.2 | — | — | — |
| 581 | Gemini 1.5 Flash-8B | 6.2 | — | — | — | |
| 582 | Jamba 1.7 Large | AI21 Labs | 6.1 | — | — | — |
| 583 | Qwen3.5 0.8B (Reasoning) | Alibaba | 6.1 | — | — | — |
| 584 | DeepHermes 3 - Mistral 24B Preview (Non-reasoning) | Nous Research | 6.1 | — | — | — |
| 585 | Qwen3 Omni 30B A3B Instruct | Alibaba | 6 | — | — | — |
| 586 | Hermes 3 - Llama-3.1 70B | Nous Research | 6 | 0.700 | 0.700 | — |
| 587 | OLMo 2 32B | Allen Institute for AI | 6 | — | — | — |
| 588 | Granite 4.0 H Small | IBM | 6 | — | — | — |
| 589 | Ministral 3 14B | Mistral | 6 | — | — | — |
| 590 | DeepSeek-Coder-V2 | DeepSeek | 6 | — | — | — |
| 591 | Jamba 1.6 Large | AI21 Labs | 6 | — | — | — |
| 592 | Qwen3 8B (Non-reasoning) | Alibaba | 6 | — | — | — |
| 593 | Jamba 1.5 Large | AI21 Labs | 6 | — | — | — |
| 594 | Nova Micro | Amazon | 5.9 | — | — | — |
| 595 | Granite 4.1 3B | IBM | 5.9 | — | — | — |
| 596 | Gemini 1.5 Flash (May '24) | 5.9 | — | — | — | |
| 597 | Claude 3 Sonnet | Anthropic | 5.9 | — | — | — |
| 598 | Microsoft | 5.9 | 0.070 | 0.140 | — | |
| 599 | LFM2 24B A2B | Liquid AI | 5.9 | — | — | — |
| 600 | Gemini 1.0 Ultra | 5.8 | — | — | — | |
| 601 | Microsoft | 5.8 | — | — | — | |
| 602 | Mistral Large (Feb '24) | Mistral | 5.8 | 0.500 | 1.50 | 0.050 |
| 603 | Mistral Small (Sep '24) | Mistral | 5.8 | 0.150 | 0.600 | 0.015 |
| 604 | NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning) | NVIDIA | 5.8 | — | — | — |
| 605 | Gemma 3n E4B Instruct Preview (May '25) | 5.8 | — | — | — | |
| 606 | Microsoft | 5.8 | — | — | — | |
| 607 | Qwen2.5 Coder Instruct 7B | Alibaba | 5.8 | — | — | — |
| 608 | MiniCPM-V 4.6 1.3B | OpenBMB | 5.7 | — | — | — |
| 609 | Llama 3.2 Instruct 3B | Meta | 5.7 | 0.050 | 0.330 | — |
| 610 | Mixtral 8x22B Instruct | Mistral | 5.7 | 2.00 | 6.00 | 0.200 |
| 611 | Qwen1.5 Chat 110B | Alibaba | 5.7 | — | — | — |
| 612 | Qwen3 VL 4B Instruct | Alibaba | 5.7 | — | — | — |
| 613 | Jamba Reasoning 3B | AI21 Labs | 5.7 | — | — | — |
| 614 | Llama 2 Chat 7B | Meta | 5.7 | — | — | — |
| 615 | Claude 3 Haiku | Anthropic | 5.6 | — | — | — |
| 616 | Olmo 3 7B Think | Allen Institute for AI | 5.6 | — | — | — |
| 617 | Claude 2.1 | Anthropic | 5.6 | — | — | — |
| 618 | Molmo 7B-D | Allen Institute for AI | 5.6 | — | — | — |
| 619 | Reka Flash 3 | Reka AI | 5.6 | 0.100 | 0.200 | — |
| 620 | OLMo 2 7B | Allen Institute for AI | 5.6 | — | — | — |
| 621 | GPT-3.5 Turbo | OpenAI | 5.5 | 1.00 | 2.00 | — |
| 622 | Mistral Medium | Mistral | 5.5 | — | — | — |
| 623 | DeepSeek-V2-Chat | DeepSeek | 5.5 | — | — | — |
| 624 | Mistral Small (Feb '24) | Mistral | 5.5 | 0.150 | 0.600 | 0.015 |
| 625 | Ling-mini-2.0 | InclusionAI | 5.5 | — | — | — |
| 626 | DeepSeek R1 Distill Qwen 1.5B | DeepSeek | 5.5 | — | — | — |
| 627 | Ministral 3 8B | Mistral | 5.5 | — | — | — |
| 628 | Llama 3 Instruct 70B | Meta | 5.5 | — | — | — |
| 629 | Claude 2.0 | Anthropic | 5.5 | — | — | — |
| 630 | LFM 40B | Liquid AI | 5.4 | — | — | — |
| 631 | Qwen3.5 0.8B (Non-reasoning) | Alibaba | 5.4 | — | — | — |
| 632 | Qwen Chat 72B | Alibaba | 5.4 | — | — | — |
| 633 | PALM-2 | 5.4 | — | — | — | |
| 634 | Llama 3.2 Instruct 11B (Vision) | Meta | 5.4 | — | — | — |
| 635 | Arctic Instruct | Snowflake | 5.4 | — | — | — |
| 636 | DBRX Instruct | Databricks | 5.3 | — | — | — |
| 637 | Sarvam M (Reasoning, Based on Mistral Small 3.1) | Sarvam | 5.3 | — | — | — |
| 638 | Llama 2 Chat 70B | Meta | 5.3 | — | — | — |
| 639 | Llama 2 Chat 13B | Meta | 5.3 | — | — | — |
| 640 | Command-R+ (Apr '24) | Cohere | 5.3 | — | — | — |
| 641 | DeepSeek LLM 67B Chat (V1) | DeepSeek | 5.3 | — | — | — |
| 642 | Gemini 1.0 Pro | 5.3 | — | — | — | |
| 643 | DeepSeek Coder V2 Lite Instruct | DeepSeek | 5.3 | — | — | — |
| 644 | Exaone 4.0 1.2B (Reasoning) | LG AI Research | 5.3 | — | — | — |
| 645 | OpenChat 3.5 (1210) | OpenChat | 5.3 | — | — | — |
| 646 | LFM2.5-1.2B-Instruct | Liquid AI | 5.2 | — | — | — |
| 647 | Jamba 1.5 Mini | AI21 Labs | 5.2 | — | — | — |
| 648 | Qwen3 1.7B (Reasoning) | Alibaba | 5.2 | — | — | — |
| 649 | LFM2.5-1.2B-Thinking | Liquid AI | 5.2 | — | — | — |
| 650 | LFM2 2.6B | Liquid AI | 5.2 | — | — | — |
| 651 | Exaone 4.0 1.2B (Non-reasoning) | LG AI Research | 5.2 | — | — | — |
| 652 | Olmo 3 7B Instruct | Allen Institute for AI | 5.2 | — | — | — |
| 653 | Jamba 1.7 Mini | AI21 Labs | 5.2 | — | — | — |
| 654 | Granite 4.0 H 1B | IBM | 5.2 | — | — | — |
| 655 | Jamba 1.6 Mini | AI21 Labs | 5.2 | — | — | — |
| 656 | Gemma 3 270M | 5.1 | — | — | — | |
| 657 | Granite 4.0 Micro | IBM | 5.1 | — | — | — |
| 658 | Mixtral 8x7B Instruct | Mistral | 5.1 | — | — | — |
| 659 | Apertus 70B Instruct | Swiss AI Initiative | 5.1 | — | — | — |
| 660 | DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) | Nous Research | 5.1 | — | — | — |
| 661 | Mistral 7B Instruct | Mistral | 5 | — | — | — |
| 662 | Molmo2-8B | Allen Institute for AI | 5 | — | — | — |
| 663 | Claude Instant | Anthropic | 5 | — | — | — |
| 664 | Granite 4.0 1B | IBM | 5 | — | — | — |
| 665 | Command-R (Mar '24) | Cohere | 5 | — | — | — |
| 666 | Qwen Chat 14B | Alibaba | 5 | — | — | — |
| 667 | Llama 65B | Meta | 5 | — | — | — |
| 668 | Qwen3 1.7B (Non-reasoning) | Alibaba | 4.9 | — | — | — |
| 669 | Gemma 3 27B Instruct | 4.9 | — | — | — | |
| 670 | Granite 3.3 8B (Non-reasoning) | IBM | 4.9 | — | — | — |
| 671 | LFM2 8B A1B | Liquid AI | 4.9 | — | — | — |
| 672 | Qwen3 0.6B (Non-reasoning) | Alibaba | 4.8 | — | — | — |
| 673 | LFM2 1.2B | Liquid AI | 4.8 | — | — | — |
| 674 | Gemma 3 4B Instruct | 4.8 | — | — | — | |
| 675 | LFM2.5-VL-1.6B | Liquid AI | 4.8 | — | — | — |
| 676 | Qwen3 0.6B (Reasoning) | Alibaba | 4.8 | — | — | — |
| 677 | Granite 4.0 350M | IBM | 4.8 | — | — | — |
| 678 | Ministral 3 3B | Mistral | 4.8 | — | — | — |
| 679 | Llama 3.2 Instruct 1B | Meta | 4.8 | 0.027 | 0.201 | — |
| 680 | Tiny Aya Global | Cohere | 4.8 | — | — | — |
| 681 | Llama 3 Instruct 8B | Meta | 4.8 | — | — | — |
| 682 | Apertus 8B Instruct | Swiss AI Initiative | 4.8 | — | — | — |
| 683 | NVIDIA Nemotron 3 Nano 4B | NVIDIA | 4.8 | — | — | — |
| 684 | Granite 4.0 H 350M | IBM | 4.8 | — | — | — |
| 685 | Gemma 3n E4B Instruct | 4.8 | — | — | — | |
| 686 | Gemma 3n E2B Instruct | 4.8 | — | — | — | |
| 687 | Gemma 3 1B Instruct | 4.8 | — | — | — | |
| 688 | Gemma 3 12B Instruct | 3.8 | — | — | — | |
| 689 | K2 Horizon 0.9B | Institute of Foundation Models | 3 | — | — | — |
Kilde: Artificial Analysis · Oppdatert Oct 13, 2026 · PandaNpc Oppdatert 13. okt. 2026, 06:00 UTCSe full ledertavle →
Hvordan lese tall
En LLM-ledertavle forteller deg hvilken modell folk foretrekker; en AI-benchmark forteller deg hva en modell objektivt kan gjøre; bruksdata forteller deg hva utviklere faktisk sender ut. Ingen enkelt rangering svarer på «hvilken er den beste AI-modellen», så denne siden samler alle tre — Chatbot Arena Elo fra arena.ai, Artificial Analysis Intelligensindeks og talearenaer, og OpenRouter token-andel — og oppdaterer dem daglig.
arena.ai (tidligere LMArena) viser brukerne to anonyme svar på samme spørsmål og ber dem velge ett, og utleder deretter en Elo-rating fra disse kampene. Den måler hvilket svar folk foretrekker – ikke objektiv evne. En sympatisk stil kan vinne, mens et grundig, men ordrikt svar kan tape.
Stemmer er kampene en modell har akkumulert. En nylig oppført modell har få stemmer og et bredt konfidensintervall, så rangeringen svinger lett — les alltid rangeringen sammen med ±-intervallet.
Agent-tavlen fungerer annerledes enn resten: den måler reelle agentøkter i stedet for blinde stemmepreferanser. Hovedmålet, Net Improvement, er en prosentvis gevinst – ikke en Elo-rating – så det kan ikke sammenlignes på tvers av tavler. arena.ai rapporterer også fem flere dimensjoner (Confirmed Success, Steerability, Bash Recovery og andre) på hele ledertavlen.
Brukertavlen kommer fra OpenRouter og teller reell API token-andel — utviklere som stemmer med lommeboken, noe som utfyller de subjektive preferansetavlene.
Taletavlene kommer fra Artificial Analysis: TTS bruker Speech Arena Elo fra blindlytting; ASR bruker AA-WER v2, der lavere er bedre; og nativ Speech-to-Speech bruker en likevektet sammensetning av Big Bench Audio, Full Duplex Bench og τ-Voice, der høyere er bedre. Sammenlign kun skårer innenfor samme tavle. Kilde: artificialanalysis.ai.
Intelligence Index-tavlen kommer fra Artificial Analysis: den destillerer mange offentlige benchmarks til en enkelt Intelligence Index på 0-100, som måler objektiv kapasitet fremfor subjektiv preferanse — et naturlig supplement til arena.ais blinde avstemning. Kilde: artificialanalysis.ai.