GLOBAL DATA · THIRD-PARTY INDEX
Email following opens soonAI model rankings.
One view of model capability. All the context to make it useful.
METRICEpoch Capabilities Index
FIRST OBSERVED / SNAPSHOT2026-11-09
LAST SOURCE CHECK (UTC)2026-11-09T22:32
COVERAGEGlobal · 255 matching models
Source note ECI is Epoch AI’s composite capability index, not a RankMondo evaluation. Uncertainty intervals may overlap; small score differences may not be meaningful. Bayesian ECI, introduced by Epoch AI on 4 November 2026. Earlier-method snapshots are not directly compared. Source methodology changelog. Source publication timestamp is unavailable. Model release dates are not dataset dates.
Snapshot observed 2026-11-09 · ECI, not RankMondo testingSource: Epoch AI ↗ · CC BY 4.0
Select a model in the chart to see its score and source interval.
THE LEADERBOARD
Capability, with context
| Select | Rank | Model / Organisation | ECI score ↓ | 90% credible interval | Change | Access |
|---|---|---|---|---|---|---|
| 01 | Claude Fable 5.2Anthropic | 174.24 | 170.12–178.79 | New | API access | |
| 02 | GPT-6 AstraOpenAI | 169.16 | 166.19–172.51 | ↓ 1 | API access | |
| 03 | GPT-6.1 SolOpenAI | 168.87 | 165.90–172.24 | ↓ 1 | API access | |
| 04 | Claude Opus 5.5Anthropic | 168.67 | 165.78–171.91 | ↓ 1 | API access | |
| 05 | GPT-6.1 TerraOpenAI | 168.11 | 165.09–171.50 | ↓ 1 | API access | |
| 06 | Claude Fable 5.1Anthropic | 167.04 | 164.29–170.20 | ↓ 1 | API access | |
| 07 | Gemini 4 ArgonGoogle DeepMind | 166.53 | 163.88–169.53 | ↓ 1 | Limited access | |
| 08 | Claude Sonnet 5.5Anthropic | 166.32 | 163.65–169.35 | ↓ 1 | API access | |
| 09 | Claude Opus 5Anthropic | 164.48 | 162.02–167.30 | ↓ 1 | API access | |
| 10 | Claude Fable 5Anthropic | 164.25 | 161.83–167.02 | ↓ 1 | API access | |
| 11 | GPT-6 SolOpenAI | 164.00 | 161.51–166.81 | ↓ 1 | API access | |
| 12 | GPT-5.6 SolOpenAI | 163.02 | 160.72–165.59 | ↓ 1 | API access | |
| 13 | GPT-5.5 ProOpenAI | 162.75 | 159.99–165.79 | ↓ 1 | API access | |
| 14 | Kimi K3.1 ProMoonshot | 162.02 | 159.45–164.95 | New | Open weights (restricted use) | |
| 15 | Muse WonderMeta AI | 162.01 | 159.60–164.67 | ↓ 2 | API access | |
| 16 | GPT-5.6 TerraOpenAI | 160.86 | 158.62–163.30 | ↓ 2 | API access | |
| 17 | Claude Haiku 5.5Anthropic | 160.25 | 158.02–162.73 | ↓ 2 | API access | |
| 18 | GPT-5.4 ProOpenAI | 160.17 | 157.72–162.87 | ↓ 2 | API access | |
| 19 | GPT-5.5OpenAI | 160.06 | 158.02–162.38 | ↓ 2 | API access | |
| 20 | Claude Opus 4.8Anthropic | 159.91 | 157.82–162.25 | ↓ 2 | API access | |
| 21 | DeepSeek V4.1 Flash 1017DeepSeek | 159.34 | 157.08–161.86 | ↓ 2 | Open weights (unrestricted) | |
| 22 | Gemini 3.8 FlashGoogle DeepMind | 158.66 | 156.59–160.92 | ↓ 2 | API access | |
| 23 | Kimi K3Moonshot | 158.53 | 156.54–160.71 | ↓ 2 | Open weights (non-commercial) | |
| 24 | Gemini 3.7 FlashGoogle DeepMind | 158.44 | 156.44–160.62 | ↓ 2 | API access | |
| 25 | Muse Spark 1.3Meta AI | 157.97 | 155.86–160.26 | ↓ 2 | API access | |
| 26 | Grok 4.6xAI | 157.91 | 155.87–160.12 | ↓ 2 | API access | |
| 27 | GPT-5.4OpenAI | 157.81 | 155.95–159.96 | ↓ 2 | API access | |
| 28 | Claude Opus 4.7Anthropic | 157.56 | 155.69–159.63 | ↓ 2 | API access | |
| 29 | Qwen 3.8 MaxAlibaba | 157.45 | 155.35–159.70 | ↓ 2 | API access | |
| 30 | GPT-5.2 ProOpenAI | 157.21 | 154.95–159.78 | ↓ 2 | API access | |
| 31 | GLM-5.3Z.ai (Zhipu AI) | 156.94 | 154.83–159.24 | ↓ 2 | Open weights (restricted use) | |
| 32 | GPT-5.6 LunaOpenAI | 156.75 | 154.87–158.80 | ↓ 2 | API access | |
| 33 | Claude Sonnet 5Anthropic | 156.72 | 154.73–158.86 | ↓ 2 | API access | |
| 34 | GPT-6 LunaOpenAI | 156.50 | 154.60–158.57 | ↓ 2 | API access | |
| 35 | DeepSeek V4.1 FlashDeepSeek | 156.45 | 154.55–158.55 | ↓ 2 | Open weights (unrestricted) | |
| 36 | Claude Opus 4.6Anthropic | 156.31 | 154.57–158.22 | ↓ 2 | API access | |
| 37 | Gemini 3.1 ProGoogle DeepMind | 156.25 | 154.51–158.14 | ↓ 2 | API access | |
| 38 | Grok 4.7xAI | 156.05 | 154.15–158.13 | ↓ 2 | API access | |
| 39 | DeepSeek V4 Pro 0813DeepSeek | 155.90 | 154.03–158.01 | ↓ 2 | Open weights (unrestricted) | |
| 40 | Qwen3.8 Max (0902)Alibaba | 155.83 | 153.62–158.18 | ↓ 2 | API access | |
| 41 | Muse Spark OpenMeta AI | 155.41 | 153.36–157.68 | ↓ 2 | Open weights (restricted use) | |
| 42 | Gemini 3.5 FlashGoogle DeepMind | 155.22 | 153.40–157.24 | ↓ 2 | API access | |
| 43 | Gemini 3.6 FlashGoogle DeepMind | 155.20 | 153.32–157.17 | ↓ 2 | API access | |
| 44 | Grok 4.5xAI | 155.08 | 153.25–157.09 | ↓ 2 | API access | |
| 45 | Muse Spark 1.2Meta AI | 155.00 | 152.71–157.49 | ↓ 2 | API access | |
| 46 | Muse Spark 1.1Meta AI | 154.85 | 152.25–157.56 | ↓ 2 | API access | |
| 47 | Mistral Large 4Mistral AI | 154.59 | 151.79–157.46 | ↓ 2 | Open weights (restricted use) | |
| 48 | Qwen3.7-MaxAlibaba | 154.50 | 152.45–156.58 | ↓ 2 | API access | |
| 49 | GPT-5.2OpenAI | 154.40 | 152.77–156.24 | ↓ 2 | API access | |
| 50 | DeepSeek V4 Flash 0731DeepSeek | 154.39 | 152.51–156.38 | ↓ 2 | Open weights (unrestricted) | |
| 51 | GLM-5.3-FlashZ.ai (Zhipu AI) | 153.60 | 151.81–155.58 | ↓ 2 | Open weights (unrestricted) | |
| 52 | Muse SparkMeta AI | 153.12 | 150.98–155.39 | ↓ 2 | API access | |
| 53 | GLM-5.2Z.ai (Zhipu AI) | 153.01 | 151.25–154.93 | ↓ 2 | Open weights (unrestricted) | |
| 54 | Gemini 3 ProGoogle DeepMind | 152.89 | 151.34–154.57 | ↓ 2 | API access | |
| 55 | Claude Sonnet 4.6Anthropic | 152.84 | 151.18–154.58 | ↓ 2 | API access | |
| 56 | Qwen 3.8 27BAlibaba | 152.70 | 150.70–154.92 | ↓ 2 | Open weights (unrestricted) | |
| 57 | Mistral Large 4 PreviewMistral AI | 152.55 | 150.67–154.49 | ↓ 2 | Open weights (restricted use) | |
| 58 | Gemini 3 FlashGoogle DeepMind | 152.29 | 150.73–153.99 | ↓ 1 | API access | |
| 59 | Grok 4.20xAI | 152.27 | 150.59–154.09 | ↓ 3 | API access | |
| 60 | Claude Opus 4.5Anthropic | 151.83 | 150.28–153.47 | ↓ 2 | API access | |
| 61 | Kimi K2.6Moonshot | 151.54 | 149.75–153.38 | ↓ 2 | Open weights (unrestricted) | |
| 62 | GPT-5 ProOpenAI | 151.17 | 149.26–153.17 | ↓ 1 | API access | |
| 63 | Kimi K2.7 CodeMoonshot | 151.14 | 149.14–153.23 | ↓ 3 | Open weights (unrestricted) | |
| 64 | GPT-5.1OpenAI | 150.89 | 149.38–152.52 | ↓ 2 | API access | |
| 65 | Beam 1.0Reflection | 150.81 | 148.70–153.02 | ↓ 1 | Open weights (unrestricted) | |
| 66 | Inkling-SmallThinking Machines | 150.76 | 148.99–152.62 | ↓ 3 | Open weights (unrestricted) | |
| 67 | GLM-5.1Z.ai (Zhipu AI) | 150.72 | 148.70–152.83 | ↓ 2 | Open weights (unrestricted) | |
| 68 | DeepSeek-V4-ProDeepSeek | 150.14 | 148.39–151.92 | ↓ 2 | Open weights (unrestricted) | |
| 69 | GPT-5OpenAI | 150.00 | Not supplied | ↓ 2 | API access | |
| 70 | Grok 4.3 BetaxAI | 149.97 | 147.97–152.02 | ↓ 3 | Hosted access (no API) | |
| 71 | Qwen 3.6 Max (Preview)Alibaba | 149.80 | 147.79–151.91 | ↓ 2 | Unknown | |
| 72 | GPT-5.4 MiniOpenAI | 149.33 | 147.69–151.11 | ↓ 2 | API access | |
| 73 | Qwen 3.6 PlusAlibaba | 148.89 | 146.93–150.89 | ↓ 2 | API access | |
| 74 | Kimi K2.5Moonshot | 148.75 | 147.26–150.29 | ↓ 2 | Open weights (unrestricted) | |
| 75 | InklingThinking Machines | 148.36 | 146.82–149.90 | ↓ 2 | Open weights (unrestricted) | |
| 76 | Qwen3.5 397B-A17BAlibaba | 147.91 | 145.79–150.17 | ↓ 2 | Open weights (unrestricted) | |
| 77 | Qwen3.7-PlusAlibaba | 147.87 | 145.90–150.02 | ↓ 2 | API access | |
| 78 | MiniMax-M3MiniMax | 147.77 | 145.56–149.97 | ↓ 2 | Open weights (restricted use) | |
| 79 | Claude Sonnet 4.5Anthropic | 147.60 | 146.16–149.05 | ↓ 2 | API access | |
| 80 | o3-proOpenAI | 147.45 | 145.58–149.31 | ↓ 2 | API access | |
| 81 | Qwen 3.5 Plus (hosted 397B-A17B)Alibaba | 147.28 | 145.46–149.12 | ↓ 2 | Unknown | |
| 82 | Nemotron 3 UltraNvidia | 147.11 | 144.99–149.29 | ↓ 2 | Open weights (unrestricted) | |
| 83 | o3OpenAI | 147.01 | 145.54–148.54 | ↓ 2 | API access | |
| 84 | Grok 4xAI | 146.88 | 145.46–148.39 | ↓ 2 | API access | |
| 85 | DeepSeek-V4-FlashDeepSeek | 146.87 | 143.63–150.17 | ↓ 3 | Open weights (unrestricted) | |
| 86 | Qwen3.6 27BAlibaba | 146.72 | 144.62–148.86 | ↓ 2 | Open weights (unrestricted) | |
| 87 | GLM-5Z.ai (Zhipu AI) | 146.47 | 144.90–148.01 | ↓ 2 | Open weights (unrestricted) | |
| 88 | GPT-5.4 NanoOpenAI | 146.39 | 144.73–148.04 | ↓ 2 | API access | |
| 89 | DeepSeek-V3.2DeepSeek | 146.24 | 144.80–147.74 | ↓ 2 | Open weights (unrestricted) | |
| 90 | GPT-5 miniOpenAI | 146.08 | 144.51–147.60 | ↓ 2 | API access | |
| 91 | Gemini 3.5 Flash-LiteGoogle DeepMind | 145.58 | 143.97–147.21 | ↓ 2 | API access | |
| 92 | Kimi K2 ThinkingMoonshot | 145.53 | 143.65–147.36 | ↓ 2 | Open weights (restricted use) | |
| 93 | o4-miniOpenAI | 145.22 | 143.77–146.65 | ↓ 2 | API access | |
| 94 | Gemini 3.1 Flash-LiteGoogle | 144.90 | 142.73–147.08 | ↓ 2 | API access | |
| 95 | Gemini 2.5 Pro (Jun 2025)Google DeepMind | 144.81 | 143.36–146.22 | ↓ 2 | API access | |
| 96 | Claude Opus 4.1Anthropic | 144.80 | 143.03–146.53 | ↓ 2 | API access | |
| 97 | DeepSeek-V3.2-ExpDeepSeek | 144.41 | 142.11–146.67 | ↓ 2 | Open weights (unrestricted) | |
| 98 | Grok 4 FastxAI | 144.33 | 142.21–146.33 | ↓ 2 | API access | |
| 99 | Gemma 4 31B ITGoogle DeepMind | 144.24 | 141.77–146.81 | ↓ 2 | Open weights (restricted use) | |
| 100 | Qwen 3.6 35B-A3BAlibaba | 144.05 | 142.13–145.93 | ↓ 2 | Open weights (unrestricted) | |
| 101 | Qwen3.5-35B-A3BAlibaba | 143.97 | 141.46–146.58 | ↓ 2 | Open weights (unrestricted) | |
| 102 | Gemini 2.5 Pro (Mar 2025)Google DeepMind | 143.91 | 141.99–145.92 | ↓ 2 | API access | |
| 103 | Qwen 3.5 Flash (hosted 35B-A3B)Alibaba | 143.81 | 141.84–145.77 | ↓ 2 | Unknown | |
| 104 | Qwen 3.6 FlashAlibaba | 143.68 | 141.75–145.62 | ↓ 2 | Unknown | |
| 105 | GLM-4.7Z.ai (Zhipu AI) | 143.27 | 141.23–145.19 | ↓ 2 | Open weights (unrestricted) | |
| 106 | Qwen3-235B-A22B-Thinking (Jul 2025)Alibaba | 143.24 | 141.32–145.13 | ↓ 2 | Open weights (unrestricted) | |
| 107 | Claude Haiku 4.5Anthropic | 142.86 | 141.17–144.46 | ↓ 1 | API access | |
| 107 | Claude Opus 4Anthropic | 142.86 | 141.26–144.48 | ↓ 2 | API access | |
| 109 | Qwen3-MaxAlibaba | 142.58 | 140.46–144.68 | ↓ 2 | API access | |
| 110 | Gemini 2.5 Flash (Sep 2025)Google DeepMind | 141.92 | 139.25–144.48 | ↓ 2 | API access | |
| 111 | Claude Sonnet 4Anthropic | 141.83 | 140.32–143.34 | ↓ 2 | API access | |
| 112 | Gemma 4 26B A4BGoogle DeepMind | 141.70 | 139.15–144.20 | ↓ 2 | Open weights (unrestricted) | |
| 113 | Mistral Medium 3.5Mistral AI | 141.60 | 138.28–144.74 | ↓ 2 | Open weights (restricted use) | |
| 114 | Gemini 2.5 Flash (May 2025)Google DeepMind | 141.59 | 139.37–143.71 | ↓ 2 | API access | |
| 115 | Kimi K2 (Jul 2025)Moonshot | 141.32 | 138.40–144.02 | ↓ 2 | Open weights (restricted use) | |
| 116 | o1OpenAI | 141.16 | 139.51–142.77 | ↓ 2 | API access | |
| 117 | Claude 3.7 SonnetAnthropic | 141.00 | 139.45–142.52 | ↓ 2 | API access | |
| 118 | Gemini 2.5 Pro (May 2025)Google DeepMind | 140.91 | 138.61–143.27 | ↓ 2 | API access | |
| 119 | DeepSeek-V3.1DeepSeek | 140.84 | 137.71–143.99 | ↓ 2 | Open weights (unrestricted) | |
| 120 | Gemini 2.5 Flash (Jun 2025)Google DeepMind | 140.83 | 138.44–143.10 | ↓ 2 | API access | |
| 121 | DeepSeek-R1 (May 2025)DeepSeek | 140.77 | 138.98–142.51 | ↓ 1 | Open weights (unrestricted) | |
| 122 | Gemini 2.5 Flash (Apr 2025)Google DeepMind | 140.73 | 138.34–143.03 | ↓ 3 | API access | |
| 123 | o3-miniOpenAI | 140.65 | 138.95–142.27 | ↓ 2 | API access | |
| 124 | gpt-oss-120bOpenAI | 140.21 | 138.29–142.03 | ↓ 2 | Open weights (unrestricted) | |
| 125 | Grok-3 minixAI | 139.92 | 138.03–141.71 | ↓ 2 | API access | |
| 126 | Qwen3.5-9BAlibaba | 139.35 | 137.09–141.54 | ↓ 2 | Open weights (restricted use) | |
| 127 | GPT-5 nanoOpenAI | 139.16 | 137.20–140.99 | ↓ 2 | API access | |
| 128 | DeepSeek-R1DeepSeek | 138.65 | 136.72–140.44 | ↓ 2 | Open weights (unrestricted) | |
| 129 | Qwen3-235B-A22BAlibaba | 138.42 | 135.96–140.75 | ↓ 2 | Open weights (unrestricted) | |
| 130 | Qwen3-30B-A3B-Thinking (Jul 2025)Alibaba | 138.40 | 135.72–140.94 | ↓ 2 | Open weights (unrestricted) | |
| 131 | Qwen3-235B-A22B-Instruct (Jul 2025)Alibaba | 138.11 | 135.88–140.22 | ↓ 2 | Open weights (unrestricted) | |
| 132 | Grok 3xAI | 137.51 | 135.63–139.35 | ↓ 2 | API access | |
| 133 | Qwen3-32BAlibaba | 136.97 | 134.54–139.35 | ↓ 2 | Open weights (unrestricted) | |
| 134 | QwQ-32BAlibaba | 136.53 | 133.64–139.30 | ↓ 2 | Open weights (unrestricted) | |
| 135 | GPT-4.5OpenAI | 136.48 | 134.38–138.52 | ↓ 2 | API access | |
| 136 | Qwen3-14BAlibaba | 136.18 | 133.54–138.68 | ↓ 2 | Open weights (unrestricted) | |
| 137 | GPT-4.1OpenAI | 136.17 | 134.20–138.04 | ↓ 2 | API access | |
| 138 | o1-miniOpenAI | 135.38 | 133.16–137.48 | ↓ 2 | API access | |
| 139 | Gemini 2.0 ProGoogle DeepMind | 135.26 | 132.42–137.94 | ↓ 2 | Hosted access (no API) | |
| 140 | DeepSeek-V3 (Mar 2025)DeepSeek | 135.24 | 133.00–137.30 | ↓ 2 | Open weights (restricted use) | |
| 141 | Qwen3-30B-A3B-Instruct (Jul 2025)Alibaba | 135.19 | 132.28–137.99 | ↓ 2 | Open weights (unrestricted) | |
| 142 | gpt-oss-20bOpenAI | 135.04 | 132.35–137.51 | ↓ 2 | Open weights (unrestricted) | |
| 143 | GPT-4.1 miniOpenAI | 134.27 | 132.09–136.26 | ↓ 2 | API access | |
| 144 | Qwen3-30B-A3BAlibaba | 134.24 | 131.32–136.90 | ↓ 2 | Open weights (unrestricted) | |
| 145 | Gemini 2.0 Flash (Feb 2025)Google DeepMind,Google | 134.05 | 131.74–136.20 | ↓ 2 | API access | |
| 146 | o1-previewOpenAI | 133.87 | 131.38–136.19 | ↓ 2 | API access | |
| 147 | Gemini 2.0 Flash Thinking (Jan 2025)Google DeepMind,Google | 133.74 | 130.68–136.54 | ↓ 2 | API access | |
| 148 | Claude 3.5 Sonnet (October 2024)Anthropic | 133.46 | 131.16–135.67 | ↓ 2 | API access | |
| 149 | Gemini 2.5 Flash-Lite (Jun 2025)Google DeepMind | 133.15 | 129.39–136.69 | ↓ 2 | API access | |
| 150 | Mistral Medium 3Mistral AI | 132.87 | 130.14–135.36 | ↓ 2 | API access | |
| 151 | Qwen3-8BAlibaba | 132.21 | 129.07–135.09 | ↓ 2 | Open weights (unrestricted) | |
| 152 | Llama 4 MaverickMeta AI | 132.13 | 129.79–134.28 | ↓ 2 | Open weights (restricted use) | |
| 153 | DeepSeek-V3DeepSeek | 131.74 | 129.23–134.11 | ↓ 2 | Open weights (restricted use) | |
| 154 | Qwen2.5-MaxAlibaba | 131.23 | 128.58–133.73 | ↓ 2 | API access | |
| 155 | Gemini 1.5 Pro (Sept 2024)Google DeepMind | 130.43 | 127.72–132.91 | ↓ 2 | API access | |
| 156 | Claude 3.5 SonnetAnthropic | 130.00 | Not supplied | ↓ 2 | API access | |
| 157 | Grok-2 (Dec 2024)xAI | 129.78 | 127.05–132.33 | ↓ 2 | API access | |
| 158 | Phi-4Microsoft Research | 129.11 | 126.06–131.88 | ↓ 2 | Open weights (unrestricted) | |
| 159 | GPT-4o (Nov 2024)OpenAI | 128.95 | 126.22–131.41 | ↓ 2 | API access | |
| 160 | GPT-4o (May 2024)OpenAI | 128.20 | 125.44–130.87 | ↓ 2 | API access | |
| 161 | Llama 3.1-405BMeta AI | 127.89 | 125.01–130.59 | ↓ 2 | Open weights (restricted use) | |
| 162 | Llama 4 ScoutMeta AI | 127.74 | 124.84–130.37 | ↓ 2 | Open weights (restricted use) | |
| 163 | Gemma 3 27BGoogle DeepMind | 127.67 | 124.63–130.46 | ↓ 2 | Open weights (restricted use) | |
| 164 | Qwen2.5-72BAlibaba | 127.25 | 124.47–129.84 | ↓ 2 | Open weights (unrestricted) | |
| 165 | Gemini 1.5 Flash (Sep 2024)Google DeepMind | 127.15 | 124.01–129.96 | ↓ 2 | API access | |
| 166 | GPT-4o (Aug 2024)OpenAI | 127.13 | 124.09–129.87 | ↓ 2 | API access | |
| 167 | GPT-4.1 nanoOpenAI | 126.89 | 123.84–129.60 | ↓ 2 | API access | |
| 168 | Mistral Large 2 (Jul 2024)Mistral AI | 126.35 | 123.10–129.31 | ↓ 2 | Open weights (non-commercial) | |
| 169 | Llama 3.3 70BMeta AI | 126.19 | 123.22–128.93 | ↓ 2 | Open weights (restricted use) | |
| 170 | GPT-4 Turbo (Apr 2024)OpenAI | 125.87 | 122.73–128.78 | ↓ 2 | API access | |
| 171 | Claude 3 OpusAnthropic | 125.57 | 122.61–128.34 | ↓ 2 | API access | |
| 172 | Gemini 1.5 Pro (May 2024)Google DeepMind | 125.41 | 122.08–128.48 | ↓ 2 | API access | |
| 173 | Claude 3.5 HaikuAnthropic | 124.98 | 121.68–128.06 | ↓ 2 | API access | |
| 174 | GPT-4 Turbo (Nov 2023)OpenAI | 124.85 | 121.50–127.84 | ↓ 2 | API access | |
| 175 | Llama 3.1-70BMeta AI | 124.70 | 121.40–127.62 | ↓ 2 | Open weights (restricted use) | |
| 176 | GPT-4o miniOpenAI | 124.02 | 120.70–127.05 | ↓ 2 | API access | |
| 177 | Llama 3.2 90BMeta AI | 123.01 | 119.13–126.46 | ↓ 2 | Open weights (restricted use) | |
| 178 | Qwen2-72BAlibaba | 122.35 | 118.67–125.65 | ↓ 2 | Open weights (unrestricted) | |
| 179 | GPT-4 (Mar 2023)OpenAI | 121.87 | 118.06–125.35 | ↓ 2 | API access | |
| 180 | Llama 3-70BMeta AI | 121.34 | 117.50–124.79 | ↓ 2 | Open weights (restricted use) | |
| 181 | DeepSeek-V2 (MoE-236B, May 2024)DeepSeek | 120.84 | 114.06–127.52 | ↓ 2 | Open weights (restricted use) | |
| 182 | Gemini 1.5 Flash (May 2024)Google DeepMind | 120.55 | 116.55–124.15 | ↓ 2 | API access | |
| 183 | GPT-4 (Jun 2023)OpenAI | 120.19 | 116.45–123.62 | ↓ 2 | API access | |
| 184 | Mistral LargeMistral AI | 119.87 | 115.75–123.45 | ↓ 2 | API access | |
| 185 | Claude 3 SonnetAnthropic | 119.54 | 115.36–123.31 | ↓ 2 | API access | |
| 186 | Mixtral 8x22BMistral AI | 118.83 | 114.52–122.61 | ↓ 1 | Open weights (unrestricted) | |
| 187 | Qwen2.5-Coder-32BAlibaba | 118.77 | 110.17–127.30 | ↓ 3 | Open weights (unrestricted) | |
| 188 | Gemma 2 27BGoogle DeepMind | 118.67 | 114.40–122.45 | ↓ 2 | Open weights (restricted use) | |
| 189 | Claude 3 HaikuAnthropic | 117.73 | 113.50–121.66 | ↓ 2 | API access | |
| 190 | Claude 2Anthropic | 117.18 | 112.78–121.12 | ↓ 2 | API access | |
| 191 | phi-3-small 7.4BMicrosoft | 116.54 | 110.70–121.90 | ↓ 2 | Open weights (unrestricted) | |
| 192 | phi-3-medium 14BMicrosoft | 114.52 | 109.70–118.84 | ↓ 2 | Open weights (unrestricted) | |
| 193 | Claude InstantAnthropic | 114.30 | 107.64–120.38 | ↓ 2 | API access | |
| 194 | PaLM 2-L | 114.08 | 100.04–129.36 | ↓ 2 | Unknown | |
| 195 | Qwen2.5-Coder-14B | 114.03 | 105.51–122.48 | ↓ 1 | Unknown | |
| 196 | Mistral NeMoMistral AI | 114.02 | 108.85–118.70 | ↓ 3 | Open weights (unrestricted) | |
| 197 | Mixtral 8x7BMistral AI | 113.36 | 108.48–117.84 | ↓ 2 | Open weights (unrestricted) | |
| 198 | GPT-3.5 Turbo (Jan 2024)OpenAI | 113.22 | 108.22–117.77 | ↓ 2 | API access | |
| 199 | GPT-3.5 Turbo (Nov 2023)OpenAI | 113.04 | 107.83–117.83 | ↓ 2 | API access | |
| 200 | Gemma 2 9BGoogle DeepMind | 112.88 | 107.01–117.96 | ↓ 2 | Open weights (restricted use) | |
| 201 | Llama 3.1-8BMeta AI | 111.24 | 105.25–116.30 | ↓ 2 | Open weights (restricted use) | |
| 202 | phi-3-mini 3.8BMicrosoft | 110.84 | 104.35–116.57 | ↓ 2 | Open weights (unrestricted) | |
| 203 | Stable Beluga 2Stability AI | 109.84 | 102.28–116.62 | ↓ 2 | Open weights (non-commercial) | |
| 204 | Llama 3-8BMeta AI | 109.56 | 104.13–114.47 | ↓ 2 | Open weights (restricted use) | |
| 205 | Qwen2.5-Coder (7B)Alibaba | 108.03 | 98.73–116.43 | ↓ 2 | Open weights (unrestricted) | |
| 206 | Falcon-180BTechnology Innovation Institute | 107.40 | 98.58–115.41 | ↓ 2 | Open weights (restricted use) | |
| 207 | GPT-3.5 Turbo (Jun 2023)OpenAI | 106.42 | 98.13–113.83 | ↓ 2 | API access | |
| 208 | Llama 2-70BMeta AI | 106.05 | 100.05–111.50 | ↓ 2 | Open weights (restricted use) | |
| 209 | Gemma 7BGoogle DeepMind | 103.62 | 95.87–110.27 | ↓ 2 | Open weights (restricted use) | |
| 210 | Mistral 7B v0.1Mistral AI | 103.28 | 95.65–109.83 | ↓ 2 | Open weights (unrestricted) | |
| 211 | Yi-9B | 102.58 | 91.48–112.30 | ↓ 2 | Unknown | |
| 212 | Qwen-14BAlibaba | 102.24 | 93.53–109.75 | ↓ 2 | Open weights (restricted use) | |
| 213 | LLaMA-65BMeta AI | 102.10 | 93.86–109.45 | ↓ 2 | Open weights (non-commercial) | |
| 214 | DeepSeek-Coder-V2-Lite-Base | 100.07 | 89.85–109.08 | ↓ 2 | Unknown | |
| 215 | Falcon 2 11BTechnology Innovation Institute | 99.81 | 88.60–109.45 | ↓ 2 | Open weights (restricted use) | |
| 216 | Nemotron-4 15BNvidia | 99.68 | 90.36–107.69 | ↓ 2 | Unreleased | |
| 217 | internlm-20b | 99.58 | 89.64–108.02 | ↓ 2 | Unknown | |
| 218 | PaLM 2-M | 98.66 | 85.99–110.19 | ↓ 2 | Unknown | |
| 219 | Qwen2.5-Coder-3B | 97.50 | 84.35–109.24 | ↓ 2 | Unknown | |
| 220 | LLaMA-33BMeta AI | 97.21 | 87.97–105.03 | ↓ 2 | Open weights (non-commercial) | |
| 221 | Llama 2-13BMeta AI | 97.07 | 87.98–104.76 | ↓ 2 | Open weights (restricted use) | |
| 222 | Phi-2Microsoft | 96.82 | 87.36–105.00 | ↓ 1 | Open weights (unrestricted) | |
| 223 | StarCoder 2 15BHugging Face,ServiceNow,Nvidia,BigCode | 96.72 | 85.47–106.35 | ↓ 3 | Open weights (restricted use) | |
| 224 | Yi 6B01.AI | 94.89 | 84.82–104.08 | ↓ 2 | Open weights (restricted use) | |
| 225 | PaLM 2-S | 94.63 | 81.05–106.37 | ↓ 1 | Unknown | |
| 226 | Llama 2-34BMeta AI | 94.57 | 84.74–103.21 | ↓ 3 | Unreleased | |
| 227 | Baichuan2-13BBaichuan | 92.57 | 81.75–102.05 | ↓ 2 | Open weights (restricted use) | |
| 228 | Falcon-40BTechnology Innovation Institute | 91.43 | 80.52–100.53 | ↓ 2 | Open weights (unrestricted) | |
| 229 | Qwen2.5-Coder (1.5B)Alibaba | 90.04 | 77.34–100.75 | ↓ 1 | Open weights (unrestricted) | |
| 230 | Qwen-7BAlibaba | 89.89 | 78.55–99.43 | ↓ 3 | Open weights (restricted use) | |
| 231 | LLaMA-13BMeta AI | 86.13 | 74.18–96.19 | ↓ 2 | Open weights (non-commercial) | |
| 232 | MPT-30BMosaicML | 86.11 | 73.90–96.08 | ↓ 2 | Open weights (unrestricted) | |
| 233 | internlm-7b | 85.52 | 73.28–95.86 | ↓ 2 | Unknown | |
| 234 | Baichuan 2-7BBaichuan | 84.45 | 71.97–95.27 | ↓ 2 | Open weights (restricted use) | |
| 235 | INTELLECT-1Prime Intellect,Hugging Face,Arcee AI | 84.33 | 71.85–95.29 | ↓ 2 | Unknown | |
| 236 | Llama 2-7BMeta AI | 84.06 | 71.63–94.62 | ↓ 2 | Open weights (restricted use) | |
| 237 | LLaMA-7BMeta AI | 78.34 | 64.57–90.16 | ↓ 2 | Open weights (non-commercial) | |
| 238 | DeepSeek Coder 33BDeepSeek,Peking University | 77.36 | 61.44–90.41 | ↓ 2 | Open weights (restricted use) | |
| 239 | vicuna-13b-v1.1 | 77.12 | 62.34–89.76 | ↓ 2 | Unknown | |
| 240 | Gemma 2BGoogle DeepMind | 76.82 | 62.52–88.92 | ↓ 2 | Open weights (restricted use) | |
| 241 | CodeQwen1.5-7B | 76.31 | 60.21–89.98 | ↓ 2 | Unknown | |
| 242 | chatglm2-6b | 74.82 | 58.68–88.57 | ↓ 2 | Unknown | |
| 243 | MPT-7BMosaicML | 74.62 | 59.71–87.23 | ↓ 2 | Open weights (unrestricted) | |
| 244 | Falcon-7BTechnology Innovation Institute | 74.29 | 59.31–86.58 | ↓ 2 | Open weights (unrestricted) | |
| 245 | StarCoder 2 7BHugging Face,ServiceNow,Nvidia,BigCode | 73.70 | 57.08–87.41 | ↓ 2 | Open weights (restricted use) | |
| 246 | XGen-7BSalesforce | 71.39 | 55.04–85.22 | ↓ 2 | Open weights (unrestricted) | |
| 247 | Phi-1.5Microsoft | 69.69 | 51.92–84.34 | ↓ 2 | Open weights (unrestricted) | |
| 248 | Qwen2.5-Coder-0.5B | 69.34 | 50.58–85.10 | ↓ 2 | Unknown | |
| 249 | DeepSeek Coder 6.7BDeepSeek,Peking University | 68.76 | 50.56–83.82 | ↓ 2 | Open weights (restricted use) | |
| 250 | StarCoder 2 3BHugging Face,ServiceNow,Nvidia,BigCode | 68.01 | 49.56–83.31 | ↓ 2 | Open weights (restricted use) | |
| 251 | open_llama_7b | 65.60 | 47.60–80.66 | ↓ 2 | Unknown | |
| 252 | Qwen-1_8B | 61.07 | 42.70–77.15 | ↓ 2 | Unknown | |
| 253 | RedPajama-INCITE-7B-Base | 59.10 | 39.41–76.02 | ↓ 2 | Unknown | |
| 254 | Dolly 2.0-12bDatabricks | 57.08 | 36.59–73.99 | ↓ 2 | Open weights (unrestricted) | |
| 255 | Cerebras-GPT-13BCerebras Systems | 50.54 | 27.88–69.77 | ↓ 2 | Open weights (unrestricted) |
Ranking: descending published ECI; exact ties share a rank. Changes compare consecutive snapshots only when the source method is unchanged. Source: Epoch AI ↗ · CC BY 4.0 · Ordered and reformatted by RankMondo.
What changed?
253 models changed rank or score; 2 models entered this dataset; 0 left coverage.
Historical snapshots: 3. No earlier history has been reconstructed.
Read the ranking method ↗