AraTrust
Models answer 522 human-written Arabic multiple-choice questions on truthfulness, ethics, safety, physical and mental health, unfairness, illegal activities, privacy and offensive language.
It is a task in the Open Arabic LLM Leaderboard v2.
In the authors’ words
The swift progress and widespread acceptance of artificial intelligence (AI) systems highlight a pressing requirement to comprehend both the capabilities and potential risks associated with AI. Given the linguistic complexity, cultural richness, and underrepresented status of Arabic in AI research, there is a pressing need to focus on Large Language Models (LLMs) performance and safety for Arabic-related tasks. Despite some progress in their development, there is a lack of comprehensive trustworthiness evaluation benchmarks, which presents a major challenge in accurately assessing and improving the safety of LLMs when prompted in Arabic. In this paper, we introduce AraTrust, the first comprehensive trustworthiness benchmark for LLMs in Arabic. AraTrust comprises 522 human-written multiple-choice questions addressing diverse dimensions related to truthfulness, ethics, safety, physical health, mental health, unfairness, illegal activities, privacy, and offensive language. We evaluated a set of LLMs against our benchmark to assess their trustworthiness. GPT-4 was the most trustworthy LLM, while open-source models, particularly AceGPT 7B and Jais 13B, struggled to achieve a score of 60% in our benchmark.
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Multiple choice
AbdulmalekDS qwen72b-ar-lora tops the leaderboard with 91.4%
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is Qwen2-72B, at 89.2%.
The newest model with a score here came out in Aug 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 91.4 AbdulmalekDS qwen72b-ar-lora
- 91.0 Lina-Z arabic_llm_test
- 90.6 Mushari440 Qwen3-8B-SFT-V2
- 90.0 Cran-May tempmotacilla-cinerea-0308
- 90.0 hammh0a Hala-9B
- 89.8 rombodawg Rombos-LLM-V2.5-Qwen-72b
- 89.8 Applied-Innovation-Center AIC-1
- 89.7 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.1
- 89.7 tunny Arabic_Qwen2.5_72B_instruct_finetune_0.1
- 89.7 Lina-Z qwen_arabic_ft
- 89.7 Sakalti Ultiima-72B
- 89.5 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.2
- 89.2
Qwen2-72B
- 89.2 MaziyarPanahi calme-2.2-qwen2.5-72b
- 89.2
Qwen2.5-72B
- 89.2 AXCXEPT EZO-Qwen2.5-32B-Instruct
- 89.1
Gemma 3 27B
- 89.1 MaziyarPanahi calme-2.1-qwen2.5-72b
- 89.0
Aya Expanse 32B
- 88.8 tanliboy lambda-qwen2.5-14b-dpo-test
- 88.8 Sakalti SakaMoe-3x14B-Instruct
- 88.4 zetasepic Qwen2.5-32B-Instruct-abliterated-v2
- 88.3 Applied-Innovation-Center Karnak
- 88.3 Sakalti Saka-14B
- 88.3 QCRI/Fanar-1-9B-Instruct
- 88.3
Llama 3.3 70B Instruct
- 88.3 maldv Awqward2.5-32B-Instruct
- 88.1 maldv Qwentile2.5-32B-Instruct
- 87.8 TIGER-Lab Qwen2.5-32B-Instruct-CFT
- 87.7 Daemontatox Cogito-R1
- 87.6 TarjamaN Pronoia-14b-community
- 87.5 Navid-AI Yehia-7B-preview
- 87.3 Mushari440 qwen3-8B-SFT
- 87.0 huihui-ai Qwen2.5-32B-Instruct-abliterated
- 87.0 v000000 Qwen2.5-Lumen-14B
- 87.0
Gemma 3 12B
- 86.9 ALLaM-AI/ALLaM-7B-Instruct-preview
- 86.9 v000000 Qwen2.5-14B-Gutenberg-1e-Delta
- 86.8 freewheelin free-evo-qwen72b-v0.8-re
- 86.8 rombodawg Rombos-LLM-V2.6-Qwen-14b
- 86.7 FreedomIntelligence AceGPT-v2-70B-Chat
- 86.7
Qwen2.5-32B
- 86.5 recoilme recoilme-gemma-2-9B-v0.2
- 86.5 tanliboy lambda-qwen2.5-32b-dpo-test
- 86.5
Qwen2.5-14B
- 86.2 Slim205 Barka-9b-it
- 85.5 Mushari440 qwen-3-8B-sft-grpo
- 84.9
Qwen3-4B
- 84.7 FreedomIntelligence AceGPT-v2-32B-Chat
- 84.5 recoilme recoilme-gemma-2-9B-v0.4
- 84.3 FreedomIntelligence AceGPT-v2-70B
- 84.3 Ocelotr Qwen3-8B-GAE
- 84.2 CohereForAI/aya-23-35B
- 84.0 amine-khelif BARS
- 84.0 asas-ai AceGPT-v2-32B
- 84.0 FreedomIntelligence AceGPT-v2-32B
- 83.7 inceptionai/jais-adapted-70b-chat
- 83.4
Qwen3-8B
- 83.1 inceptionai/jais-family-30b-8k-chat
- 82.8 silma-ai SILMA-9B-Instruct-v1.0
- 82.8
Qwen2-7B-Instruct
- 82.6 arcee-ai Arcee-Spark
- 82.5
Aya Expanse 8B
- 82.1 QCRI/Fanar-1-9B
- 82.1 Cran-May T.E-8.1
- 81.9 JasperV13 Yehia-7B-DPO-Reasoning-preview
- 81.8 airev-ai emirati-14b-v2
- 81.6 inceptionai/jais-family-30b-16k-chat
- 81.3 huihui-ai Qwen2.5-7B-Instruct-abliterated
- 80.8 SeaLLMs SeaLLM-7B-v2.5
- 80.8 JasperV13 Yehia-7B-Reasoning-preview
- 80.7
Qwen2.5-7B
- 80.5
Gemma 2 27B
- 80.5 CohereForAI/c4ai-command-r7b-arabic-02-2025
- 80.4 Orion-zhen Qwen2.5-7B-Instruct-Uncensored
- 79.7 inceptionai/jais-adapted-13b-chat
- 78.3
Gemma 3 4B
- 78.1
Qwen1.5-32B
- 78.0 SeaLLMs SeaLLMs-v3-7B-Chat
- 77.8
Phi-4 Mini
- 77.2
Gemma 2 9B
- 76.6 JasperV13 Yehia-7B-SFT-Reasoning-preview
- 76.5 FreedomIntelligence AceGPT-v1.5-13B-Chat
- 76.5 Sakalti oxyge1-33B
- 75.6
Llama 3.1-8B
- 75.6
Qwen3-1.7B
- 75.0 inceptionai/jais-family-13b-chat
- 75.0 inceptionai/jais-adapted-70b
- 74.4 AIDC-AI Marco-LLM-AR-V4
- 74.2 huihui-ai Qwen2.5-7B-Instruct-abliterated-v2
- 74.2 FreedomIntelligence AceGPT-v2-8B-Chat
- 73.5 AIDC-AI Marco-LLM-AR-V2
- 73.3 silma-ai SILMA-Kashif-2B-Instruct-v1.0
- 73.3 Ocelotr Qwen-8B-SFT
- 72.7
Qwen3-30B-A3B-Instruct
- 72.5
Qwen2.5-3B
- 72.2 Isaak-Carter Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
- 71.5 Slim205 Barka-2b-it
- 70.8
Qwen2.5-1.5B
- 70.7 inceptionai/jais-family-30b-8k
- 69.8 Hagrass LLama3-3.2-instruct-trained
- 68.9
Qwen2-1.5B-Instruct
- 68.6 AIDC-AI Marco-LLM-AR
- 67.2
Qwen1.5-7B
- 66.0 inceptionai/jais-adapted-7b-chat
- 65.7 FreedomIntelligence AceGPT-13B-chat
- 65.5 upstage SOLAR-10.7B-v1.0
- 64.3
Qwen1.5-14B
- 64.3 VAGOsolutions SauerkrautLM-Nemo-12b-Instruct
- 63.6 FreedomIntelligence AceGPT-7B-chat
- 62.0 inceptionai/jais-family-30b-16k
- 61.2 inceptionai/jais-adapted-13b
- 61.0 01-ZeroOne SUHAIL-14B-preview
- 58.5
Llama 3.2 3B
- 58.1 01-ai/Yi-1.5-9B
- 58.0 tiiuae/Falcon3-10B-Base
- 57.5
Qwen3-14B
- 57.2 Qwen/Qwen1.5-4B
- 56.6 01-ai/Yi-1.5-9B-32K
- 56.5 FreedomIntelligence AceGPT-13B
- 56.5 Naseej noon-7b
- 55.8 Syed-Hasan-8503 Phi-3-mini-4K-instruct-cpo-simpo
- 55.4 speakleash Bielik-11B-v2
- 54.2 cognitivecomputations Dolphin3.0-R1-Mistral-24B
- 52.3 01-ai/Yi-1.5-34B-32K
- 51.5
Qwen3-0.6B
- 49.9 tiiuae/Falcon3-7B-Base
- 49.4 FreedomIntelligence AceGPT-7B
- 47.7 FreedomIntelligence AceGPT-v1.5-13B
- 47.6
Phi-4
- 47.5 Sakalti Saka-1.5B
- 47.3
Qwen2.5-0.5B
- 46.9
Qwen2-0.5B-Instruct
- 46.7 INSAIT-Institute BgGPT-7B-Instruct-v0.2
- 40.6 qwen3-4b-instruct-2507
- 39.6 AIDC-AI Marco-LLM-AR-V3
- 38.9
Qwen3-32B
- 37.1
Llama 3.2 1B
- 34.8 inceptionai/jais-family-13b
- 33.9 inceptionai/jais-adapted-7b
- 32.8 riotu-lab ArabianGPT-01B
- 32.6 mobiuslabsgmbh DeepSeek-R1-ReDistill-Llama3-8B-v1.1
- 32.6 mobiuslabsgmbh DeepSeek-R1-ReDistill-Qwen-7B-v1.1
- 31.5 Qwen/Qwen1.5-1.8B
- 31.2
Gemma 2 2B IT
- 31.2
DeepSeek-R1-Distill-Qwen-14B
- 31.2
DeepSeek-R1-Distill-Qwen-32B
- 31.2
QwQ-32B
- 31.2 stabilityai ar-stablelm-2-base
- 30.9 TIGER-Lab Qwen2.5-Math-7B-CFT
- 1 AbdulmalekDS qwen72b-ar-lora 91.4%
- 2 Lina-Z arabic_llm_test 91%
- 3 Mushari440 Qwen3-8B-SFT-V2 90.6%
- 4 Cran-May tempmotacilla-cinerea-0308 90%
- 5 hammh0a Hala-9B 90%
- 6 rombodawg Rombos-LLM-V2.5-Qwen-72b 89.8%
- 7 Applied-Innovation-Center AIC-1 89.8%
- 8 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.1 89.7%
- 9 tunny Arabic_Qwen2.5_72B_instruct_finetune_0.1 89.7%
- 10 Lina-Z qwen_arabic_ft 89.7%
- 11 Sakalti Ultiima-72B 89.7%
- 12 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.2 89.5%
- 13
Qwen2-72B base model 89.2%
- 14 MaziyarPanahi calme-2.2-qwen2.5-72b 89.2%
- 15
Qwen2.5-72B 89.2%
- 16 AXCXEPT EZO-Qwen2.5-32B-Instruct 89.2%
- 17
Gemma 3 27B 89.1%
- 18 MaziyarPanahi calme-2.1-qwen2.5-72b 89.1%
- 19
Aya Expanse 32B 89%
- 20 tanliboy lambda-qwen2.5-14b-dpo-test 88.8%
- 21 Sakalti SakaMoe-3x14B-Instruct 88.8%
- 22 zetasepic Qwen2.5-32B-Instruct-abliterated-v2 88.4%
- 23 Applied-Innovation-Center Karnak 88.3%
- 24 Sakalti Saka-14B 88.3%
- 25 QCRI/Fanar-1-9B-Instruct 88.3%
- 26
Llama 3.3 70B Instruct 88.3%
- 27 maldv Awqward2.5-32B-Instruct 88.3%
- 28 maldv Qwentile2.5-32B-Instruct 88.1%
- 29 TIGER-Lab Qwen2.5-32B-Instruct-CFT 87.8%
- 30 Daemontatox Cogito-R1 87.7%
- 31 TarjamaN Pronoia-14b-community 87.6%
- 32 Navid-AI Yehia-7B-preview 87.5%
- 33 Mushari440 qwen3-8B-SFT 87.3%
- 34 huihui-ai Qwen2.5-32B-Instruct-abliterated 87%
- 35 v000000 Qwen2.5-Lumen-14B 87%
- 36
Gemma 3 12B base model 87%
- 37 ALLaM-AI/ALLaM-7B-Instruct-preview 86.9%
- 38 v000000 Qwen2.5-14B-Gutenberg-1e-Delta 86.9%
- 39 freewheelin free-evo-qwen72b-v0.8-re 86.8%
- 40 rombodawg Rombos-LLM-V2.6-Qwen-14b 86.8%
- 41 FreedomIntelligence AceGPT-v2-70B-Chat 86.7%
- 42
Qwen2.5-32B 86.7%
- 43 recoilme recoilme-gemma-2-9B-v0.2 86.5%
- 44 tanliboy lambda-qwen2.5-32b-dpo-test 86.5%
- 45
Qwen2.5-14B base model 86.5%
- 46 Slim205 Barka-9b-it 86.2%
- 47 Mushari440 qwen-3-8B-sft-grpo 85.5%
- 48
Qwen3-4B base model 84.9%
- 49 FreedomIntelligence AceGPT-v2-32B-Chat 84.7%
- 50 recoilme recoilme-gemma-2-9B-v0.4 84.5%
- 51 FreedomIntelligence AceGPT-v2-70B 84.3%
- 52 Ocelotr Qwen3-8B-GAE 84.3%
- 53 CohereForAI/aya-23-35B 84.2%
- 54 amine-khelif BARS 84%
- 55 asas-ai AceGPT-v2-32B 84%
- 56 FreedomIntelligence AceGPT-v2-32B 84%
- 57 inceptionai/jais-adapted-70b-chat 83.7%
- 58
Qwen3-8B base model 83.4%
- 59 inceptionai/jais-family-30b-8k-chat 83.1%
- 60 silma-ai SILMA-9B-Instruct-v1.0 82.8%
- 61
Qwen2-7B-Instruct 82.8%
- 62 arcee-ai Arcee-Spark 82.6%
- 63
Aya Expanse 8B 82.5%
- 64 QCRI/Fanar-1-9B 82.1%
- 65 Cran-May T.E-8.1 82.1%
- 66 JasperV13 Yehia-7B-DPO-Reasoning-preview 81.9%
- 67 airev-ai emirati-14b-v2 81.8%
- 68 inceptionai/jais-family-30b-16k-chat 81.6%
- 69 huihui-ai Qwen2.5-7B-Instruct-abliterated 81.3%
- 70 SeaLLMs SeaLLM-7B-v2.5 80.8%
- 71 JasperV13 Yehia-7B-Reasoning-preview 80.8%
- 72
Qwen2.5-7B 80.7%
- 73
Gemma 2 27B 80.5%
- 74 CohereForAI/c4ai-command-r7b-arabic-02-2025 80.5%
- 75 Orion-zhen Qwen2.5-7B-Instruct-Uncensored 80.4%
- 76 inceptionai/jais-adapted-13b-chat 79.7%
- 77
Gemma 3 4B base model 78.3%
- 78
Qwen1.5-32B base model 78.1%
- 79 SeaLLMs SeaLLMs-v3-7B-Chat 78%
- 80
Phi-4 Mini 77.8%
- 81
Gemma 2 9B 77.2%
- 82 JasperV13 Yehia-7B-SFT-Reasoning-preview 76.6%
- 83 FreedomIntelligence AceGPT-v1.5-13B-Chat 76.5%
- 84 Sakalti oxyge1-33B 76.5%
- 85
Llama 3.1-8B 75.6%
- 86
Qwen3-1.7B base model 75.6%
- 87 inceptionai/jais-family-13b-chat 75%
- 88 inceptionai/jais-adapted-70b 75%
- 89 AIDC-AI Marco-LLM-AR-V4 74.4%
- 90 huihui-ai Qwen2.5-7B-Instruct-abliterated-v2 74.2%
- 91 FreedomIntelligence AceGPT-v2-8B-Chat 74.2%
- 92 AIDC-AI Marco-LLM-AR-V2 73.5%
- 93 silma-ai SILMA-Kashif-2B-Instruct-v1.0 73.3%
- 94 Ocelotr Qwen-8B-SFT 73.3%
- 95
Qwen3-30B-A3B-Instruct Jul 2025 72.7%
- 96
Qwen2.5-3B 72.5%
- 97 Isaak-Carter Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 72.2%
- 98 Slim205 Barka-2b-it 71.5%
- 99
Qwen2.5-1.5B 70.8%
- 100 inceptionai/jais-family-30b-8k 70.7%
- 101 Hagrass LLama3-3.2-instruct-trained 69.8%
- 102
Qwen2-1.5B-Instruct 68.9%
- 103 AIDC-AI Marco-LLM-AR 68.6%
- 104
Qwen1.5-7B base model 67.2%
- 105 inceptionai/jais-adapted-7b-chat 66%
- 106 FreedomIntelligence AceGPT-13B-chat 65.7%
- 107 upstage SOLAR-10.7B-v1.0 65.5%
- 108
Qwen1.5-14B base model 64.3%
- 109 VAGOsolutions SauerkrautLM-Nemo-12b-Instruct 64.3%
- 110 FreedomIntelligence AceGPT-7B-chat 63.6%
- 111 inceptionai/jais-family-30b-16k 62%
- 112 inceptionai/jais-adapted-13b 61.2%
- 113 01-ZeroOne SUHAIL-14B-preview 61%
- 114
Llama 3.2 3B 58.5%
- 115 01-ai/Yi-1.5-9B base model 58.1%
- 116 tiiuae/Falcon3-10B-Base base model 58%
- 117
Qwen3-14B base model 57.5%
- 118 Qwen/Qwen1.5-4B base model 57.2%
- 119 01-ai/Yi-1.5-9B-32K base model 56.6%
- 120 FreedomIntelligence AceGPT-13B 56.5%
- 121 Naseej noon-7b 56.5%
- 122 Syed-Hasan-8503 Phi-3-mini-4K-instruct-cpo-simpo 55.8%
- 123 speakleash Bielik-11B-v2 55.4%
- 124 cognitivecomputations Dolphin3.0-R1-Mistral-24B 54.2%
- 125 01-ai/Yi-1.5-34B-32K base model 52.3%
- 126
Qwen3-0.6B 51.5%
- 127 tiiuae/Falcon3-7B-Base base model 49.9%
- 128 FreedomIntelligence AceGPT-7B 49.4%
- 129 FreedomIntelligence AceGPT-v1.5-13B 47.7%
- 130
Phi-4 47.6%
- 131 Sakalti Saka-1.5B 47.5%
- 132
Qwen2.5-0.5B 47.3%
- 133
Qwen2-0.5B-Instruct 46.9%
- 134 INSAIT-Institute BgGPT-7B-Instruct-v0.2 46.7%
- 135 qwen3-4b-instruct-2507 40.6%
- 136 AIDC-AI Marco-LLM-AR-V3 39.6%
- 137
Qwen3-32B 38.9%
- 138
Llama 3.2 1B base model 37.1%
- 139 inceptionai/jais-family-13b 34.8%
- 140 inceptionai/jais-adapted-7b 33.9%
- 141 riotu-lab ArabianGPT-01B 32.8%
- 142 mobiuslabsgmbh DeepSeek-R1-ReDistill-Llama3-8B-v1.1 32.6%
- 143 mobiuslabsgmbh DeepSeek-R1-ReDistill-Qwen-7B-v1.1 32.6%
- 144 Qwen/Qwen1.5-1.8B base model 31.5%
- 145
Gemma 2 2B IT 31.2%
- 146
DeepSeek-R1-Distill-Qwen-14B 31.2%
- 147
DeepSeek-R1-Distill-Qwen-32B 31.2%
- 148
QwQ-32B 31.2%
- 149 stabilityai ar-stablelm-2-base 31.2%
- 150 TIGER-Lab Qwen2.5-Math-7B-CFT 30.9%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | AbdulmalekDS qwen72b-ar-lora | 91.4% | Sep 2025 | Official leaderboard | |
| 2 | Lina-Z arabic_llm_test | 91% | Nov 2025 | Official leaderboard | |
| 3 | Mushari440 Qwen3-8B-SFT-V2 | 90.6% | Mar 2026 | Official leaderboard | |
| 4 | Cran-May tempmotacilla-cinerea-0308 | 90% | Mar 2025 | Official leaderboard | |
| 5 | hammh0a Hala-9B | 90% | Feb 2026 | Official leaderboard | |
| 6 | rombodawg Rombos-LLM-V2.5-Qwen-72b | 89.8% | Feb 2025 | Official leaderboard | |
| 7 | Applied-Innovation-Center AIC-1 | 89.8% | Sep 2025 | Official leaderboard | |
| 8 | deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.1 | 89.7% | Jul 2025 | Official leaderboard | |
| 9 | tunny Arabic_Qwen2.5_72B_instruct_finetune_0.1 | 89.7% | Dec 2025 | Official leaderboard | |
| 10 | Lina-Z qwen_arabic_ft | 89.7% | Jan 2026 | Official leaderboard | |
| 11 | Sakalti Ultiima-72B | 89.7% | Feb 2025 | Official leaderboard | |
| 12 | deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.2 | 89.5% | Sep 2025 | Official leaderboard | |
| 13 | | 89.2% | base model | Jun 2024 | Official leaderboard |
| 14 | MaziyarPanahi calme-2.2-qwen2.5-72b | 89.2% | Jan 2025 | Official leaderboard | |
| 15 | | 89.2% | Sep 2024 | Official leaderboard | |
| 16 | AXCXEPT EZO-Qwen2.5-32B-Instruct | 89.2% | Jan 2025 | Official leaderboard | |
| 17 | | 89.1% | Mar 2025 | Official leaderboard | |
| 18 | MaziyarPanahi calme-2.1-qwen2.5-72b | 89.1% | Jan 2025 | Official leaderboard | |
| 19 | | 89% | Oct 2024 | Official leaderboard | |
| 20 | tanliboy lambda-qwen2.5-14b-dpo-test | 88.8% | Jan 2025 | Official leaderboard | |
| 21 | Sakalti SakaMoe-3x14B-Instruct | 88.8% | Feb 2025 | Official leaderboard | |
| 22 | zetasepic Qwen2.5-32B-Instruct-abliterated-v2 | 88.4% | Mar 2025 | Official leaderboard | |
| 23 | Applied-Innovation-Center Karnak | 88.3% | Feb 2026 | Official leaderboard | |
| 24 | Sakalti Saka-14B | 88.3% | Feb 2025 | Official leaderboard | |
| 25 | QCRI/Fanar-1-9B-Instruct | 88.3% | Jun 2025 | Official leaderboard | |
| 26 | | 88.3% | Dec 2024 | Official leaderboard | |
| 27 | maldv Awqward2.5-32B-Instruct | 88.3% | Feb 2025 | Official leaderboard | |
| 28 | maldv Qwentile2.5-32B-Instruct | 88.1% | Feb 2025 | Official leaderboard | |
| 29 | TIGER-Lab Qwen2.5-32B-Instruct-CFT | 87.8% | Mar 2025 | Official leaderboard | |
| 30 | Daemontatox Cogito-R1 | 87.7% | Feb 2025 | Official leaderboard | |
| 31 | TarjamaN Pronoia-14b-community | 87.6% | Feb 2025 | Official leaderboard | |
| 32 | Navid-AI Yehia-7B-preview | 87.5% | Mar 2025 | Official leaderboard | |
| 33 | Mushari440 qwen3-8B-SFT | 87.3% | Feb 2026 | Official leaderboard | |
| 34 | huihui-ai Qwen2.5-32B-Instruct-abliterated | 87% | Jan 2025 | Official leaderboard | |
| 35 | v000000 Qwen2.5-Lumen-14B | 87% | Jan 2025 | Official leaderboard | |
| 36 | | 87% | base model | Mar 2025 | Official leaderboard |
| 37 | ALLaM-AI/ALLaM-7B-Instruct-preview | 86.9% | Feb 2025 | Official leaderboard | |
| 38 | v000000 Qwen2.5-14B-Gutenberg-1e-Delta | 86.9% | Jan 2025 | Official leaderboard | |
| 39 | freewheelin free-evo-qwen72b-v0.8-re | 86.8% | Jan 2025 | Official leaderboard | |
| 40 | rombodawg Rombos-LLM-V2.6-Qwen-14b | 86.8% | Jan 2025 | Official leaderboard | |
| 41 | FreedomIntelligence AceGPT-v2-70B-Chat | 86.7% | Jan 2025 | Official leaderboard | |
| 42 | | 86.7% | Sep 2024 | Official leaderboard | |
| 43 | recoilme recoilme-gemma-2-9B-v0.2 | 86.5% | Jan 2025 | Official leaderboard | |
| 44 | tanliboy lambda-qwen2.5-32b-dpo-test | 86.5% | Jan 2025 | Official leaderboard | |
| 45 | | 86.5% | base model | Sep 2024 | Official leaderboard |
| 46 | Slim205 Barka-9b-it | 86.2% | Jun 2025 | Official leaderboard | |
| 47 | Mushari440 qwen-3-8B-sft-grpo | 85.5% | Feb 2026 | Official leaderboard | |
| 48 | | 84.9% | base model | Apr 2025 | Official leaderboard |
| 49 | FreedomIntelligence AceGPT-v2-32B-Chat | 84.7% | Jan 2025 | Official leaderboard | |
| 50 | recoilme recoilme-gemma-2-9B-v0.4 | 84.5% | Jan 2025 | Official leaderboard | |
| 51 | FreedomIntelligence AceGPT-v2-70B | 84.3% | Jan 2025 | Official leaderboard | |
| 52 | Ocelotr Qwen3-8B-GAE | 84.3% | Jan 2026 | Official leaderboard | |
| 53 | CohereForAI/aya-23-35B | 84.2% | Jan 2025 | Official leaderboard | |
| 54 | amine-khelif BARS | 84% | Sep 2025 | Official leaderboard | |
| 55 | asas-ai AceGPT-v2-32B | 84% | Jan 2025 | Official leaderboard | |
| 56 | FreedomIntelligence AceGPT-v2-32B | 84% | Jan 2025 | Official leaderboard | |
| 57 | inceptionai/jais-adapted-70b-chat | 83.7% | Jan 2025 | Official leaderboard | |
| 58 | | 83.4% | base model | Apr 2025 | Official leaderboard |
| 59 | inceptionai/jais-family-30b-8k-chat | 83.1% | Jan 2025 | Official leaderboard | |
| 60 | silma-ai SILMA-9B-Instruct-v1.0 | 82.8% | Jan 2025 | Official leaderboard | |
| 61 | | 82.8% | Jun 2024 | Official leaderboard | |
| 62 | arcee-ai Arcee-Spark | 82.6% | Jan 2025 | Official leaderboard | |
| 63 | | 82.5% | Oct 2024 | Official leaderboard | |
| 64 | QCRI/Fanar-1-9B | 82.1% | Jun 2025 | Official leaderboard | |
| 65 | Cran-May T.E-8.1 | 82.1% | Jan 2025 | Official leaderboard | |
| 66 | JasperV13 Yehia-7B-DPO-Reasoning-preview | 81.9% | May 2025 | Official leaderboard | |
| 67 | airev-ai emirati-14b-v2 | 81.8% | Jan 2025 | Official leaderboard | |
| 68 | inceptionai/jais-family-30b-16k-chat | 81.6% | Jan 2025 | Official leaderboard | |
| 69 | huihui-ai Qwen2.5-7B-Instruct-abliterated | 81.3% | Jan 2025 | Official leaderboard | |
| 70 | SeaLLMs SeaLLM-7B-v2.5 | 80.8% | Jan 2025 | Official leaderboard | |
| 71 | JasperV13 Yehia-7B-Reasoning-preview | 80.8% | May 2025 | Official leaderboard | |
| 72 | | 80.7% | Sep 2024 | Official leaderboard | |
| 73 | | 80.5% | Jun 2024 | Official leaderboard | |
| 74 | CohereForAI/c4ai-command-r7b-arabic-02-2025 | 80.5% | Feb 2025 | Official leaderboard | |
| 75 | Orion-zhen Qwen2.5-7B-Instruct-Uncensored | 80.4% | Jan 2025 | Official leaderboard | |
| 76 | inceptionai/jais-adapted-13b-chat | 79.7% | Jan 2025 | Official leaderboard | |
| 77 | | 78.3% | base model | Mar 2025 | Official leaderboard |
| 78 | | 78.1% | base model | Feb 2024 | Official leaderboard |
| 79 | SeaLLMs SeaLLMs-v3-7B-Chat | 78% | Mar 2025 | Official leaderboard | |
| 80 | | 77.8% | Feb 2025 | Official leaderboard | |
| 81 | | 77.2% | Jun 2024 | Official leaderboard | |
| 82 | JasperV13 Yehia-7B-SFT-Reasoning-preview | 76.6% | May 2025 | Official leaderboard | |
| 83 | FreedomIntelligence AceGPT-v1.5-13B-Chat | 76.5% | Jan 2025 | Official leaderboard | |
| 84 | Sakalti oxyge1-33B | 76.5% | Mar 2025 | Official leaderboard | |
| 85 | | 75.6% | Jul 2024 | Official leaderboard | |
| 86 | | 75.6% | base model | Apr 2025 | Official leaderboard |
| 87 | inceptionai/jais-family-13b-chat | 75% | Jan 2025 | Official leaderboard | |
| 88 | inceptionai/jais-adapted-70b | 75% | Jan 2025 | Official leaderboard | |
| 89 | AIDC-AI Marco-LLM-AR-V4 | 74.4% | Mar 2025 | Official leaderboard | |
| 90 | huihui-ai Qwen2.5-7B-Instruct-abliterated-v2 | 74.2% | Jan 2025 | Official leaderboard | |
| 91 | FreedomIntelligence AceGPT-v2-8B-Chat | 74.2% | Jan 2025 | Official leaderboard | |
| 92 | AIDC-AI Marco-LLM-AR-V2 | 73.5% | Mar 2025 | Official leaderboard | |
| 93 | silma-ai SILMA-Kashif-2B-Instruct-v1.0 | 73.3% | Feb 2025 | Official leaderboard | |
| 94 | Ocelotr Qwen-8B-SFT | 73.3% | Dec 2025 | Official leaderboard | |
| 95 | | 72.7% | Jul 2025 | Official leaderboard | |
| 96 | | 72.5% | Sep 2024 | Official leaderboard | |
| 97 | Isaak-Carter Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 | 72.2% | Jan 2025 | Official leaderboard | |
| 98 | Slim205 Barka-2b-it | 71.5% | Jun 2025 | Official leaderboard | |
| 99 | | 70.8% | Sep 2024 | Official leaderboard | |
| 100 | inceptionai/jais-family-30b-8k | 70.7% | Jan 2025 | Official leaderboard | |
| 101 | Hagrass LLama3-3.2-instruct-trained | 69.8% | Aug 2025 | Official leaderboard | |
| 102 | | 68.9% | Jun 2024 | Official leaderboard | |
| 103 | AIDC-AI Marco-LLM-AR | 68.6% | Feb 2025 | Official leaderboard | |
| 104 | | 67.2% | base model | Feb 2024 | Official leaderboard |
| 105 | inceptionai/jais-adapted-7b-chat | 66% | Jan 2025 | Official leaderboard | |
| 106 | FreedomIntelligence AceGPT-13B-chat | 65.7% | Jan 2025 | Official leaderboard | |
| 107 | upstage SOLAR-10.7B-v1.0 | 65.5% | Jan 2025 | Official leaderboard | |
| 108 | | 64.3% | base model | Feb 2024 | Official leaderboard |
| 109 | VAGOsolutions SauerkrautLM-Nemo-12b-Instruct | 64.3% | Jan 2025 | Official leaderboard | |
| 110 | FreedomIntelligence AceGPT-7B-chat | 63.6% | Jan 2025 | Official leaderboard | |
| 111 | inceptionai/jais-family-30b-16k | 62% | Jan 2025 | Official leaderboard | |
| 112 | inceptionai/jais-adapted-13b | 61.2% | Jan 2025 | Official leaderboard | |
| 113 | 01-ZeroOne SUHAIL-14B-preview | 61% | Jul 2025 | Official leaderboard | |
| 114 | | 58.5% | Sep 2024 | Official leaderboard | |
| 115 | 01-ai/Yi-1.5-9B | 58.1% | base model | Jan 2025 | Official leaderboard |
| 116 | tiiuae/Falcon3-10B-Base | 58% | base model | Feb 2025 | Official leaderboard |
| 117 | | 57.5% | base model | Apr 2025 | Official leaderboard |
| 118 | Qwen/Qwen1.5-4B | 57.2% | base model | Jan 2025 | Official leaderboard |
| 119 | 01-ai/Yi-1.5-9B-32K | 56.6% | base model | Jan 2025 | Official leaderboard |
| 120 | FreedomIntelligence AceGPT-13B | 56.5% | Jan 2025 | Official leaderboard | |
| 121 | Naseej noon-7b | 56.5% | Mar 2025 | Official leaderboard | |
| 122 | Syed-Hasan-8503 Phi-3-mini-4K-instruct-cpo-simpo | 55.8% | Jan 2025 | Official leaderboard | |
| 123 | speakleash Bielik-11B-v2 | 55.4% | Jan 2025 | Official leaderboard | |
| 124 | cognitivecomputations Dolphin3.0-R1-Mistral-24B | 54.2% | Feb 2025 | Official leaderboard | |
| 125 | 01-ai/Yi-1.5-34B-32K | 52.3% | base model | Jan 2025 | Official leaderboard |
| 126 | | 51.5% | Apr 2025 | Official leaderboard | |
| 127 | tiiuae/Falcon3-7B-Base | 49.9% | base model | Feb 2025 | Official leaderboard |
| 128 | FreedomIntelligence AceGPT-7B | 49.4% | Jan 2025 | Official leaderboard | |
| 129 | FreedomIntelligence AceGPT-v1.5-13B | 47.7% | Jan 2025 | Official leaderboard | |
| 130 | | 47.6% | Dec 2024 | Official leaderboard | |
| 131 | Sakalti Saka-1.5B | 47.5% | Feb 2025 | Official leaderboard | |
| 132 | | 47.3% | Sep 2024 | Official leaderboard | |
| 133 | | 46.9% | Jun 2024 | Official leaderboard | |
| 134 | INSAIT-Institute BgGPT-7B-Instruct-v0.2 | 46.7% | Jan 2025 | Official leaderboard | |
| 135 | qwen3-4b-instruct-2507 | 40.6% | Aug 2025 | Official leaderboard | |
| 136 | AIDC-AI Marco-LLM-AR-V3 | 39.6% | Mar 2025 | Official leaderboard | |
| 137 | | 38.9% | Apr 2025 | Official leaderboard | |
| 138 | | 37.1% | base model | Sep 2024 | Official leaderboard |
| 139 | inceptionai/jais-family-13b | 34.8% | Jan 2025 | Official leaderboard | |
| 140 | inceptionai/jais-adapted-7b | 33.9% | Jan 2025 | Official leaderboard | |
| 141 | riotu-lab ArabianGPT-01B | 32.8% | Oct 2025 | Official leaderboard | |
| 142 | mobiuslabsgmbh DeepSeek-R1-ReDistill-Llama3-8B-v1.1 | 32.6% | Feb 2025 | Official leaderboard | |
| 143 | mobiuslabsgmbh DeepSeek-R1-ReDistill-Qwen-7B-v1.1 | 32.6% | Feb 2025 | Official leaderboard | |
| 144 | Qwen/Qwen1.5-1.8B | 31.5% | base model | Jan 2025 | Official leaderboard |
| 145 | | 31.2% | Jul 2024 | Official leaderboard | |
| 146 | | 31.2% | Jan 2025 | Official leaderboard | |
| 147 | | 31.2% | Jan 2025 | Official leaderboard | |
| 148 | | 31.2% | Mar 2025 | Official leaderboard | |
| 149 | stabilityai ar-stablelm-2-base | 31.2% | Jun 2025 | Official leaderboard | |
| 150 | TIGER-Lab Qwen2.5-Math-7B-CFT | 30.9% | Mar 2025 | Official leaderboard |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
2 models have held number one since its release in Mar 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Jun 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs dropped it from launch posts once the best score passed 85%
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 21 May 2025 | 82.5 | AraTrust |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 8 Nov 2025 | | 82.6 | AraTrust (Table 6) | Safety |
More in Safety and alignment
- FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
- StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is.
Inkling 98.6%
- AgentDojo In use Agents do tool-use tasks while tools and data carry prompt injections. Attack success rate counts hijacked runs. Grok 4 Fast 0%
- MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy.
Muse Spark Open 98.1%
- Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. GPT-6 Astra 8.50%
- Agentic misalignment suite (Anthropic) In use Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate. Claude Sonnet 4.5 0%