AlGhafa
Models answer Arabic multiple-choice tasks on reading comprehension, sentiment, facts and question answering. Scored by normalized log-likelihood accuracy.
It started with 11 native Arabic sets and later added 11 translated ones. OALL v2 keeps only the native sets and fixed a scoring bug, so v1 and v2 AlGhafa scores differ.
In the authors’ words
Recent advances in the space of Arabic large language models have opened up a wealth of potential practical applications. From optimal training strategies, large scale data acquisition and continuously increasing NLP resources, the Arabic LLM landscape has improved in a very short span of time, despite being plagued by training data scarcity and limited evaluation resources compared to English. In line with contributing towards this ever-growing field, we introduce AlGhafa, a new multiple-choice evaluation benchmark for Arabic LLMs. For showcasing purposes, we train a new suite of models, including a 14 billion parameter model, the largest monolingual Arabic decoder-only model to date. We use a collection of publicly available datasets, as well as a newly introduced HandMade dataset consisting of 8 billion tokens. Finally, we explore the quantitative and qualitative toxicity of several Arabic models, comparing our models to existing public Arabic LLMs.
- 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
Mushari440 Qwen3-8B-SFT-V2 tops the leaderboard with 84.8%
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 78.6%.
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
- 84.8 Mushari440 Qwen3-8B-SFT-V2
- 82.8 Mushari440 qwen3-8B-SFT
- 79.0 Applied-Innovation-Center Karnak
- 79.0 Applied-Innovation-Center AIC-1
- 78.7 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.1
- 78.6 AbdulmalekDS qwen72b-ar-lora
- 78.6
Qwen2-72B
- 78.4 Lina-Z arabic_llm_test
- 78.2
Qwen2.5-72B
- 78.2 rombodawg Rombos-LLM-V2.5-Qwen-72b
- 78.2 tanliboy lambda-qwen2.5-32b-dpo-test
- 78.2 Sakalti Ultiima-72B
- 78.2 hammh0a Hala-9B
- 78.2 Lina-Z qwen_arabic_ft
- 78.1 MaziyarPanahi calme-2.2-qwen2.5-72b
- 78.1
Qwen2.5-32B
- 78.1 MaziyarPanahi calme-2.1-qwen2.5-72b
- 78.0 huihui-ai Qwen2.5-32B-Instruct-abliterated
- 78.0 tunny Arabic_Qwen2.5_72B_instruct_finetune_0.1
- 78.0 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.2
- 78.0 maldv Awqward2.5-32B-Instruct
- 78.0 maldv Qwentile2.5-32B-Instruct
- 78.0 zetasepic Qwen2.5-32B-Instruct-abliterated-v2
- 78.0 TIGER-Lab Qwen2.5-32B-Instruct-CFT
- 77.9
Gemma 3 27B
- 77.7 Daemontatox Cogito-R1
- 77.6
Aya Expanse 32B
- 77.3 FreedomIntelligence AceGPT-v2-32B-Chat
- 77.2
Qwen2.5-14B
- 76.6 FreedomIntelligence AceGPT-v2-70B-Chat
- 76.4 QCRI/Fanar-1-9B-Instruct
- 76.3 freewheelin free-evo-qwen72b-v0.8-re
- 76.3 Sakalti Saka-14B
- 75.9 Sakalti SakaMoe-3x14B-Instruct
- 75.9 CohereForAI/aya-23-35B
- 75.5 Cran-May tempmotacilla-cinerea-0308
- 75.5 Ocelotr Qwen3-8B-GAE
- 75.2 JasperV13 Yehia-7B-Reasoning-preview
- 75.2 inceptionai/jais-adapted-70b-chat
- 75.1 JasperV13 Yehia-7B-DPO-Reasoning-preview
- 75.0 AIDC-AI Marco-LLM-AR-V4
- 75.0 AXCXEPT EZO-Qwen2.5-32B-Instruct
- 74.9 Mushari440 qwen-3-8B-sft-grpo
- 74.8
Qwen3-8B
- 74.8 CohereForAI/c4ai-command-r7b-arabic-02-2025
- 74.8 tanliboy lambda-qwen2.5-14b-dpo-test
- 74.6 airev-ai emirati-14b-v2
- 74.4 recoilme recoilme-gemma-2-9B-v0.4
- 74.1 rombodawg Rombos-LLM-V2.6-Qwen-14b
- 73.8 VAGOsolutions SauerkrautLM-Nemo-12b-Instruct
- 73.5 FreedomIntelligence AceGPT-v2-8B-Chat
- 73.2
Qwen2-7B-Instruct
- 73.2 Cran-May T.E-8.1
- 72.9 arcee-ai Arcee-Spark
- 72.8 amine-khelif BARS
- 72.8 JasperV13 Yehia-7B-SFT-Reasoning-preview
- 72.7 v000000 Qwen2.5-Lumen-14B
- 72.5 recoilme recoilme-gemma-2-9B-v0.2
- 72.5 v000000 Qwen2.5-14B-Gutenberg-1e-Delta
- 72.4 AIDC-AI Marco-LLM-AR-V2
- 72.2
Gemma 2 27B
- 72.2
Qwen2.5-7B
- 72.0 Orion-zhen Qwen2.5-7B-Instruct-Uncensored
- 71.4 SeaLLMs SeaLLM-7B-v2.5
- 71.3 inceptionai/jais-family-30b-8k-chat
- 71.2 inceptionai/jais-family-30b-16k-chat
- 71.1 SeaLLMs SeaLLMs-v3-7B-Chat
- 70.9
Llama 3.1-8B
- 70.8 Navid-AI Yehia-7B-preview
- 70.7 Ocelotr Qwen-8B-SFT
- 70.7 huihui-ai Qwen2.5-7B-Instruct-abliterated-v2
- 70.3 Sakalti oxyge1-33B
- 70.2 QCRI/Fanar-1-9B
- 70.2 Isaak-Carter Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
- 70.0 TarjamaN Pronoia-14b-community
- 69.5 ALLaM-AI/ALLaM-7B-Instruct-preview
- 69.3
Phi-4 Mini
- 68.5
Qwen3-4B
- 67.3 inceptionai/jais-adapted-13b-chat
- 66.7
Aya Expanse 8B
- 66.5 inceptionai/jais-family-13b-chat
- 66.4
Qwen1.5-32B
- 65.7
Qwen1.5-14B
- 63.7
Llama 3.3 70B Instruct
- 63.6 huihui-ai Qwen2.5-7B-Instruct-abliterated
- 63.4 inceptionai/jais-adapted-7b-chat
- 61.8 Slim205 Barka-2b-it
- 61.1
Qwen2.5-3B
- 60.7
Gemma 3 12B
- 60.7 Slim205 Barka-9b-it
- 60.2 INSAIT-Institute BgGPT-7B-Instruct-v0.2
- 59.7 silma-ai SILMA-Kashif-2B-Instruct-v1.0
- 59.4 upstage SOLAR-10.7B-v1.0
- 59.2 FreedomIntelligence AceGPT-13B-chat
- 58.7 FreedomIntelligence AceGPT-v2-70B
- 57.6 inceptionai/jais-family-30b-16k
- 57.1
Qwen3-14B
- 56.8
Qwen3-1.7B
- 56.8 Hagrass LLama3-3.2-instruct-trained
- 54.9 AIDC-AI Marco-LLM-AR
- 54.9 asas-ai AceGPT-v2-32B
- 54.9 FreedomIntelligence AceGPT-v2-32B
- 54.8 inceptionai/jais-adapted-70b
- 54.8 Syed-Hasan-8503 Phi-3-mini-4K-instruct-cpo-simpo
- 54.7 cognitivecomputations Dolphin3.0-R1-Mistral-24B
- 54.5 01-ZeroOne SUHAIL-14B-preview
- 54.3 inceptionai/jais-family-30b-8k
- 54.2
Gemma 3 4B
- 54.0 FreedomIntelligence AceGPT-v1.5-13B-Chat
- 53.2 AIDC-AI Marco-LLM-AR-V3
- 53.1
Qwen2-1.5B-Instruct
- 52.3
Qwen1.5-7B
- 51.4 Sakalti Saka-1.5B
- 51.2 01-ai/Yi-1.5-9B
- 50.9
Qwen3-30B-A3B-Instruct
- 49.5 FreedomIntelligence AceGPT-7B-chat
- 49.0 01-ai/Yi-1.5-9B-32K
- 48.5 yellowtown 7B-v0.2
- 48.4
Qwen2.5-1.5B
- 48.2 FreedomIntelligence AceGPT-13B
- 48.0 speakleash Bielik-11B-v2
- 47.9
Gemma 2 9B
- 47.7 01-ai/Yi-1.5-34B-32K
- 46.8
Qwen3-32B
- 46.5
DeepSeek-R1-Distill-Qwen-32B
- 44.1
Qwen3-0.6B
- 44.1 tiiuae/Falcon3-10B-Base
- 44.0 FreedomIntelligence AceGPT-v1.5-13B
- 42.9
Llama 3.2 3B
- 42.9 inceptionai/jais-family-13b
- 42.4 Qwen/Qwen1.5-4B
- 42.3
Phi-4
- 40.6 inceptionai/jais-adapted-13b
- 40.6
Qwen2-0.5B-Instruct
- 40.4
Qwen2.5-0.5B
- 37.9 tiiuae/Falcon3-7B-Base
- 36.7 Naseej noon-7b
- 36.5 qwen3-4b-instruct-2507
- 36.4 FreedomIntelligence AceGPT-7B
- 34.1
Gemma 2 2B IT
- 34.0 silma-ai SILMA-9B-Instruct-v1.0
- 33.9
Llama 3.2 1B
- 33.5 mobiuslabsgmbh DeepSeek-R1-ReDistill-Llama3-8B-v1.1
- 33.1 stabilityai ar-stablelm-2-base
- 32.9 inceptionai/jais-adapted-7b
- 32.8 TIGER-Lab Qwen2.5-Math-7B-CFT
- 32.7 Qwen/Qwen1.5-1.8B
- 32.7 mobiuslabsgmbh DeepSeek-R1-ReDistill-Qwen-7B-v1.1
- 32.6
DeepSeek-R1-Distill-Qwen-14B
- 32.5 riotu-lab ArabianGPT-01B
- 31.3
QwQ-32B
- 1 Mushari440 Qwen3-8B-SFT-V2 84.8%
- 2 Mushari440 qwen3-8B-SFT 82.8%
- 3 Applied-Innovation-Center Karnak 79%
- 4 Applied-Innovation-Center AIC-1 79%
- 5 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.1 78.7%
- 6 AbdulmalekDS qwen72b-ar-lora 78.6%
- 7
Qwen2-72B base model 78.6%
- 8 Lina-Z arabic_llm_test 78.4%
- 9
Qwen2.5-72B 78.2%
- 10 rombodawg Rombos-LLM-V2.5-Qwen-72b 78.2%
- 11 tanliboy lambda-qwen2.5-32b-dpo-test 78.2%
- 12 Sakalti Ultiima-72B 78.2%
- 13 hammh0a Hala-9B 78.2%
- 14 Lina-Z qwen_arabic_ft 78.2%
- 15 MaziyarPanahi calme-2.2-qwen2.5-72b 78.1%
- 16
Qwen2.5-32B 78.1%
- 17 MaziyarPanahi calme-2.1-qwen2.5-72b 78.1%
- 18 huihui-ai Qwen2.5-32B-Instruct-abliterated 78%
- 19 tunny Arabic_Qwen2.5_72B_instruct_finetune_0.1 78%
- 20 deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.2 78%
- 21 maldv Awqward2.5-32B-Instruct 78%
- 22 maldv Qwentile2.5-32B-Instruct 78%
- 23 zetasepic Qwen2.5-32B-Instruct-abliterated-v2 78%
- 24 TIGER-Lab Qwen2.5-32B-Instruct-CFT 78%
- 25
Gemma 3 27B 77.9%
- 26 Daemontatox Cogito-R1 77.7%
- 27
Aya Expanse 32B 77.6%
- 28 FreedomIntelligence AceGPT-v2-32B-Chat 77.3%
- 29
Qwen2.5-14B base model 77.2%
- 30 FreedomIntelligence AceGPT-v2-70B-Chat 76.6%
- 31 QCRI/Fanar-1-9B-Instruct 76.4%
- 32 freewheelin free-evo-qwen72b-v0.8-re 76.3%
- 33 Sakalti Saka-14B 76.3%
- 34 Sakalti SakaMoe-3x14B-Instruct 75.9%
- 35 CohereForAI/aya-23-35B 75.9%
- 36 Cran-May tempmotacilla-cinerea-0308 75.5%
- 37 Ocelotr Qwen3-8B-GAE 75.5%
- 38 JasperV13 Yehia-7B-Reasoning-preview 75.2%
- 39 inceptionai/jais-adapted-70b-chat 75.2%
- 40 JasperV13 Yehia-7B-DPO-Reasoning-preview 75.1%
- 41 AIDC-AI Marco-LLM-AR-V4 75%
- 42 AXCXEPT EZO-Qwen2.5-32B-Instruct 75%
- 43 Mushari440 qwen-3-8B-sft-grpo 74.9%
- 44
Qwen3-8B base model 74.8%
- 45 CohereForAI/c4ai-command-r7b-arabic-02-2025 74.8%
- 46 tanliboy lambda-qwen2.5-14b-dpo-test 74.8%
- 47 airev-ai emirati-14b-v2 74.6%
- 48 recoilme recoilme-gemma-2-9B-v0.4 74.4%
- 49 rombodawg Rombos-LLM-V2.6-Qwen-14b 74.1%
- 50 VAGOsolutions SauerkrautLM-Nemo-12b-Instruct 73.8%
- 51 FreedomIntelligence AceGPT-v2-8B-Chat 73.5%
- 52
Qwen2-7B-Instruct 73.2%
- 53 Cran-May T.E-8.1 73.2%
- 54 arcee-ai Arcee-Spark 72.9%
- 55 amine-khelif BARS 72.8%
- 56 JasperV13 Yehia-7B-SFT-Reasoning-preview 72.8%
- 57 v000000 Qwen2.5-Lumen-14B 72.7%
- 58 recoilme recoilme-gemma-2-9B-v0.2 72.5%
- 59 v000000 Qwen2.5-14B-Gutenberg-1e-Delta 72.5%
- 60 AIDC-AI Marco-LLM-AR-V2 72.4%
- 61
Gemma 2 27B 72.2%
- 62
Qwen2.5-7B base model 72.2%
- 63 Orion-zhen Qwen2.5-7B-Instruct-Uncensored 72%
- 64 SeaLLMs SeaLLM-7B-v2.5 71.4%
- 65 inceptionai/jais-family-30b-8k-chat 71.3%
- 66 inceptionai/jais-family-30b-16k-chat 71.2%
- 67 SeaLLMs SeaLLMs-v3-7B-Chat 71.1%
- 68
Llama 3.1-8B 70.9%
- 69 Navid-AI Yehia-7B-preview 70.8%
- 70 Ocelotr Qwen-8B-SFT 70.7%
- 71 huihui-ai Qwen2.5-7B-Instruct-abliterated-v2 70.7%
- 72 Sakalti oxyge1-33B 70.3%
- 73 QCRI/Fanar-1-9B 70.2%
- 74 Isaak-Carter Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 70.2%
- 75 TarjamaN Pronoia-14b-community 70%
- 76 ALLaM-AI/ALLaM-7B-Instruct-preview 69.5%
- 77
Phi-4 Mini 69.3%
- 78
Qwen3-4B base model 68.5%
- 79 inceptionai/jais-adapted-13b-chat 67.3%
- 80
Aya Expanse 8B 66.7%
- 81 inceptionai/jais-family-13b-chat 66.5%
- 82
Qwen1.5-32B base model 66.4%
- 83
Qwen1.5-14B base model 65.7%
- 84
Llama 3.3 70B Instruct 63.7%
- 85 huihui-ai Qwen2.5-7B-Instruct-abliterated 63.6%
- 86 inceptionai/jais-adapted-7b-chat 63.4%
- 87 Slim205 Barka-2b-it 61.8%
- 88
Qwen2.5-3B 61.1%
- 89
Gemma 3 12B base model 60.7%
- 90 Slim205 Barka-9b-it 60.7%
- 91 INSAIT-Institute BgGPT-7B-Instruct-v0.2 60.2%
- 92 silma-ai SILMA-Kashif-2B-Instruct-v1.0 59.7%
- 93 upstage SOLAR-10.7B-v1.0 59.4%
- 94 FreedomIntelligence AceGPT-13B-chat 59.2%
- 95 FreedomIntelligence AceGPT-v2-70B 58.7%
- 96 inceptionai/jais-family-30b-16k 57.6%
- 97
Qwen3-14B base model 57.1%
- 98
Qwen3-1.7B base model 56.8%
- 99 Hagrass LLama3-3.2-instruct-trained 56.8%
- 100 AIDC-AI Marco-LLM-AR 54.9%
- 101 asas-ai AceGPT-v2-32B 54.9%
- 102 FreedomIntelligence AceGPT-v2-32B 54.9%
- 103 inceptionai/jais-adapted-70b 54.8%
- 104 Syed-Hasan-8503 Phi-3-mini-4K-instruct-cpo-simpo 54.8%
- 105 cognitivecomputations Dolphin3.0-R1-Mistral-24B 54.7%
- 106 01-ZeroOne SUHAIL-14B-preview 54.5%
- 107 inceptionai/jais-family-30b-8k 54.3%
- 108
Gemma 3 4B base model 54.2%
- 109 FreedomIntelligence AceGPT-v1.5-13B-Chat 54%
- 110 AIDC-AI Marco-LLM-AR-V3 53.2%
- 111
Qwen2-1.5B-Instruct 53.1%
- 112
Qwen1.5-7B base model 52.3%
- 113 Sakalti Saka-1.5B 51.4%
- 114 01-ai/Yi-1.5-9B base model 51.2%
- 115
Qwen3-30B-A3B-Instruct Jul 2025 50.9%
- 116 FreedomIntelligence AceGPT-7B-chat 49.5%
- 117 01-ai/Yi-1.5-9B-32K base model 49%
- 118 yellowtown 7B-v0.2 48.5%
- 119
Qwen2.5-1.5B 48.4%
- 120 FreedomIntelligence AceGPT-13B 48.2%
- 121 speakleash Bielik-11B-v2 48%
- 122
Gemma 2 9B 47.9%
- 123 01-ai/Yi-1.5-34B-32K base model 47.7%
- 124
Qwen3-32B 46.8%
- 125
DeepSeek-R1-Distill-Qwen-32B 46.5%
- 126
Qwen3-0.6B 44.1%
- 127 tiiuae/Falcon3-10B-Base base model 44.1%
- 128 FreedomIntelligence AceGPT-v1.5-13B 44%
- 129
Llama 3.2 3B 42.9%
- 130 inceptionai/jais-family-13b 42.9%
- 131 Qwen/Qwen1.5-4B base model 42.4%
- 132
Phi-4 42.3%
- 133 inceptionai/jais-adapted-13b 40.6%
- 134
Qwen2-0.5B-Instruct 40.6%
- 135
Qwen2.5-0.5B 40.4%
- 136 tiiuae/Falcon3-7B-Base base model 37.9%
- 137 Naseej noon-7b 36.7%
- 138 qwen3-4b-instruct-2507 36.5%
- 139 FreedomIntelligence AceGPT-7B 36.4%
- 140
Gemma 2 2B IT 34.1%
- 141 silma-ai SILMA-9B-Instruct-v1.0 34%
- 142
Llama 3.2 1B base model 33.9%
- 143 mobiuslabsgmbh DeepSeek-R1-ReDistill-Llama3-8B-v1.1 33.5%
- 144 stabilityai ar-stablelm-2-base 33.1%
- 145 inceptionai/jais-adapted-7b 32.9%
- 146 TIGER-Lab Qwen2.5-Math-7B-CFT 32.8%
- 147 Qwen/Qwen1.5-1.8B base model 32.7%
- 148 mobiuslabsgmbh DeepSeek-R1-ReDistill-Qwen-7B-v1.1 32.7%
- 149
DeepSeek-R1-Distill-Qwen-14B 32.6%
- 150 riotu-lab ArabianGPT-01B 32.5%
- 151
QwQ-32B 31.3%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Mushari440 Qwen3-8B-SFT-V2 | 84.8% | Mar 2026 | Official leaderboard | |
| 2 | Mushari440 qwen3-8B-SFT | 82.8% | Feb 2026 | Official leaderboard | |
| 3 | Applied-Innovation-Center Karnak | 79% | Feb 2026 | Official leaderboard | |
| 4 | Applied-Innovation-Center AIC-1 | 79% | Sep 2025 | Official leaderboard | |
| 5 | deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.1 | 78.7% | Jul 2025 | Official leaderboard | |
| 6 | AbdulmalekDS qwen72b-ar-lora | 78.6% | Sep 2025 | Official leaderboard | |
| 7 | | 78.6% | base model | Jun 2024 | Official leaderboard |
| 8 | Lina-Z arabic_llm_test | 78.4% | Nov 2025 | Official leaderboard | |
| 9 | | 78.2% | Sep 2024 | Official leaderboard | |
| 10 | rombodawg Rombos-LLM-V2.5-Qwen-72b | 78.2% | Feb 2025 | Official leaderboard | |
| 11 | tanliboy lambda-qwen2.5-32b-dpo-test | 78.2% | Jan 2025 | Official leaderboard | |
| 12 | Sakalti Ultiima-72B | 78.2% | Feb 2025 | Official leaderboard | |
| 13 | hammh0a Hala-9B | 78.2% | Feb 2026 | Official leaderboard | |
| 14 | Lina-Z qwen_arabic_ft | 78.2% | Jan 2026 | Official leaderboard | |
| 15 | MaziyarPanahi calme-2.2-qwen2.5-72b | 78.1% | Jan 2025 | Official leaderboard | |
| 16 | | 78.1% | Sep 2024 | Official leaderboard | |
| 17 | MaziyarPanahi calme-2.1-qwen2.5-72b | 78.1% | Jan 2025 | Official leaderboard | |
| 18 | huihui-ai Qwen2.5-32B-Instruct-abliterated | 78% | Jan 2025 | Official leaderboard | |
| 19 | tunny Arabic_Qwen2.5_72B_instruct_finetune_0.1 | 78% | Dec 2025 | Official leaderboard | |
| 20 | deep-analysis-research D2IL-Arabic-Qwen2.5-72B-Instruct-v0.2 | 78% | Sep 2025 | Official leaderboard | |
| 21 | maldv Awqward2.5-32B-Instruct | 78% | Feb 2025 | Official leaderboard | |
| 22 | maldv Qwentile2.5-32B-Instruct | 78% | Feb 2025 | Official leaderboard | |
| 23 | zetasepic Qwen2.5-32B-Instruct-abliterated-v2 | 78% | Mar 2025 | Official leaderboard | |
| 24 | TIGER-Lab Qwen2.5-32B-Instruct-CFT | 78% | Mar 2025 | Official leaderboard | |
| 25 | | 77.9% | Mar 2025 | Official leaderboard | |
| 26 | Daemontatox Cogito-R1 | 77.7% | Feb 2025 | Official leaderboard | |
| 27 | | 77.6% | Oct 2024 | Official leaderboard | |
| 28 | FreedomIntelligence AceGPT-v2-32B-Chat | 77.3% | Jan 2025 | Official leaderboard | |
| 29 | | 77.2% | base model | Sep 2024 | Official leaderboard |
| 30 | FreedomIntelligence AceGPT-v2-70B-Chat | 76.6% | Jan 2025 | Official leaderboard | |
| 31 | QCRI/Fanar-1-9B-Instruct | 76.4% | Jun 2025 | Official leaderboard | |
| 32 | freewheelin free-evo-qwen72b-v0.8-re | 76.3% | Jan 2025 | Official leaderboard | |
| 33 | Sakalti Saka-14B | 76.3% | Feb 2025 | Official leaderboard | |
| 34 | Sakalti SakaMoe-3x14B-Instruct | 75.9% | Feb 2025 | Official leaderboard | |
| 35 | CohereForAI/aya-23-35B | 75.9% | Jan 2025 | Official leaderboard | |
| 36 | Cran-May tempmotacilla-cinerea-0308 | 75.5% | Mar 2025 | Official leaderboard | |
| 37 | Ocelotr Qwen3-8B-GAE | 75.5% | Jan 2026 | Official leaderboard | |
| 38 | JasperV13 Yehia-7B-Reasoning-preview | 75.2% | May 2025 | Official leaderboard | |
| 39 | inceptionai/jais-adapted-70b-chat | 75.2% | Jan 2025 | Official leaderboard | |
| 40 | JasperV13 Yehia-7B-DPO-Reasoning-preview | 75.1% | May 2025 | Official leaderboard | |
| 41 | AIDC-AI Marco-LLM-AR-V4 | 75% | Mar 2025 | Official leaderboard | |
| 42 | AXCXEPT EZO-Qwen2.5-32B-Instruct | 75% | Jan 2025 | Official leaderboard | |
| 43 | Mushari440 qwen-3-8B-sft-grpo | 74.9% | Feb 2026 | Official leaderboard | |
| 44 | | 74.8% | base model | Apr 2025 | Official leaderboard |
| 45 | CohereForAI/c4ai-command-r7b-arabic-02-2025 | 74.8% | Feb 2025 | Official leaderboard | |
| 46 | tanliboy lambda-qwen2.5-14b-dpo-test | 74.8% | Jan 2025 | Official leaderboard | |
| 47 | airev-ai emirati-14b-v2 | 74.6% | Jan 2025 | Official leaderboard | |
| 48 | recoilme recoilme-gemma-2-9B-v0.4 | 74.4% | Jan 2025 | Official leaderboard | |
| 49 | rombodawg Rombos-LLM-V2.6-Qwen-14b | 74.1% | Jan 2025 | Official leaderboard | |
| 50 | VAGOsolutions SauerkrautLM-Nemo-12b-Instruct | 73.8% | Jan 2025 | Official leaderboard | |
| 51 | FreedomIntelligence AceGPT-v2-8B-Chat | 73.5% | Jan 2025 | Official leaderboard | |
| 52 | | 73.2% | Jun 2024 | Official leaderboard | |
| 53 | Cran-May T.E-8.1 | 73.2% | Jan 2025 | Official leaderboard | |
| 54 | arcee-ai Arcee-Spark | 72.9% | Jan 2025 | Official leaderboard | |
| 55 | amine-khelif BARS | 72.8% | Sep 2025 | Official leaderboard | |
| 56 | JasperV13 Yehia-7B-SFT-Reasoning-preview | 72.8% | May 2025 | Official leaderboard | |
| 57 | v000000 Qwen2.5-Lumen-14B | 72.7% | Jan 2025 | Official leaderboard | |
| 58 | recoilme recoilme-gemma-2-9B-v0.2 | 72.5% | Jan 2025 | Official leaderboard | |
| 59 | v000000 Qwen2.5-14B-Gutenberg-1e-Delta | 72.5% | Jan 2025 | Official leaderboard | |
| 60 | AIDC-AI Marco-LLM-AR-V2 | 72.4% | Mar 2025 | Official leaderboard | |
| 61 | | 72.2% | Jun 2024 | Official leaderboard | |
| 62 | | 72.2% | base model | Sep 2024 | Official leaderboard |
| 63 | Orion-zhen Qwen2.5-7B-Instruct-Uncensored | 72% | Jan 2025 | Official leaderboard | |
| 64 | SeaLLMs SeaLLM-7B-v2.5 | 71.4% | Jan 2025 | Official leaderboard | |
| 65 | inceptionai/jais-family-30b-8k-chat | 71.3% | Jan 2025 | Official leaderboard | |
| 66 | inceptionai/jais-family-30b-16k-chat | 71.2% | Jan 2025 | Official leaderboard | |
| 67 | SeaLLMs SeaLLMs-v3-7B-Chat | 71.1% | Mar 2025 | Official leaderboard | |
| 68 | | 70.9% | Jul 2024 | Official leaderboard | |
| 69 | Navid-AI Yehia-7B-preview | 70.8% | Mar 2025 | Official leaderboard | |
| 70 | Ocelotr Qwen-8B-SFT | 70.7% | Dec 2025 | Official leaderboard | |
| 71 | huihui-ai Qwen2.5-7B-Instruct-abliterated-v2 | 70.7% | Jan 2025 | Official leaderboard | |
| 72 | Sakalti oxyge1-33B | 70.3% | Mar 2025 | Official leaderboard | |
| 73 | QCRI/Fanar-1-9B | 70.2% | Jun 2025 | Official leaderboard | |
| 74 | Isaak-Carter Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 | 70.2% | Jan 2025 | Official leaderboard | |
| 75 | TarjamaN Pronoia-14b-community | 70% | Feb 2025 | Official leaderboard | |
| 76 | ALLaM-AI/ALLaM-7B-Instruct-preview | 69.5% | Feb 2025 | Official leaderboard | |
| 77 | | 69.3% | Feb 2025 | Official leaderboard | |
| 78 | | 68.5% | base model | Apr 2025 | Official leaderboard |
| 79 | inceptionai/jais-adapted-13b-chat | 67.3% | Jan 2025 | Official leaderboard | |
| 80 | | 66.7% | Oct 2024 | Official leaderboard | |
| 81 | inceptionai/jais-family-13b-chat | 66.5% | Jan 2025 | Official leaderboard | |
| 82 | | 66.4% | base model | Feb 2024 | Official leaderboard |
| 83 | | 65.7% | base model | Feb 2024 | Official leaderboard |
| 84 | | 63.7% | Dec 2024 | Official leaderboard | |
| 85 | huihui-ai Qwen2.5-7B-Instruct-abliterated | 63.6% | Jan 2025 | Official leaderboard | |
| 86 | inceptionai/jais-adapted-7b-chat | 63.4% | Jan 2025 | Official leaderboard | |
| 87 | Slim205 Barka-2b-it | 61.8% | Jun 2025 | Official leaderboard | |
| 88 | | 61.1% | Sep 2024 | Official leaderboard | |
| 89 | | 60.7% | base model | Mar 2025 | Official leaderboard |
| 90 | Slim205 Barka-9b-it | 60.7% | Jun 2025 | Official leaderboard | |
| 91 | INSAIT-Institute BgGPT-7B-Instruct-v0.2 | 60.2% | Jan 2025 | Official leaderboard | |
| 92 | silma-ai SILMA-Kashif-2B-Instruct-v1.0 | 59.7% | Feb 2025 | Official leaderboard | |
| 93 | upstage SOLAR-10.7B-v1.0 | 59.4% | Jan 2025 | Official leaderboard | |
| 94 | FreedomIntelligence AceGPT-13B-chat | 59.2% | Jan 2025 | Official leaderboard | |
| 95 | FreedomIntelligence AceGPT-v2-70B | 58.7% | Jan 2025 | Official leaderboard | |
| 96 | inceptionai/jais-family-30b-16k | 57.6% | Jan 2025 | Official leaderboard | |
| 97 | | 57.1% | base model | Apr 2025 | Official leaderboard |
| 98 | | 56.8% | base model | Apr 2025 | Official leaderboard |
| 99 | Hagrass LLama3-3.2-instruct-trained | 56.8% | Aug 2025 | Official leaderboard | |
| 100 | AIDC-AI Marco-LLM-AR | 54.9% | Feb 2025 | Official leaderboard | |
| 101 | asas-ai AceGPT-v2-32B | 54.9% | Jan 2025 | Official leaderboard | |
| 102 | FreedomIntelligence AceGPT-v2-32B | 54.9% | Jan 2025 | Official leaderboard | |
| 103 | inceptionai/jais-adapted-70b | 54.8% | Jan 2025 | Official leaderboard | |
| 104 | Syed-Hasan-8503 Phi-3-mini-4K-instruct-cpo-simpo | 54.8% | Jan 2025 | Official leaderboard | |
| 105 | cognitivecomputations Dolphin3.0-R1-Mistral-24B | 54.7% | Feb 2025 | Official leaderboard | |
| 106 | 01-ZeroOne SUHAIL-14B-preview | 54.5% | Jul 2025 | Official leaderboard | |
| 107 | inceptionai/jais-family-30b-8k | 54.3% | Jan 2025 | Official leaderboard | |
| 108 | | 54.2% | base model | Mar 2025 | Official leaderboard |
| 109 | FreedomIntelligence AceGPT-v1.5-13B-Chat | 54% | Jan 2025 | Official leaderboard | |
| 110 | AIDC-AI Marco-LLM-AR-V3 | 53.2% | Mar 2025 | Official leaderboard | |
| 111 | | 53.1% | Jun 2024 | Official leaderboard | |
| 112 | | 52.3% | base model | Feb 2024 | Official leaderboard |
| 113 | Sakalti Saka-1.5B | 51.4% | Feb 2025 | Official leaderboard | |
| 114 | 01-ai/Yi-1.5-9B | 51.2% | base model | Jan 2025 | Official leaderboard |
| 115 | | 50.9% | Jul 2025 | Official leaderboard | |
| 116 | FreedomIntelligence AceGPT-7B-chat | 49.5% | Jan 2025 | Official leaderboard | |
| 117 | 01-ai/Yi-1.5-9B-32K | 49% | base model | Jan 2025 | Official leaderboard |
| 118 | yellowtown 7B-v0.2 | 48.5% | Jan 2025 | Official leaderboard | |
| 119 | | 48.4% | Sep 2024 | Official leaderboard | |
| 120 | FreedomIntelligence AceGPT-13B | 48.2% | Jan 2025 | Official leaderboard | |
| 121 | speakleash Bielik-11B-v2 | 48% | Jan 2025 | Official leaderboard | |
| 122 | | 47.9% | Jun 2024 | Official leaderboard | |
| 123 | 01-ai/Yi-1.5-34B-32K | 47.7% | base model | Jan 2025 | Official leaderboard |
| 124 | | 46.8% | Apr 2025 | Official leaderboard | |
| 125 | | 46.5% | Jan 2025 | Official leaderboard | |
| 126 | | 44.1% | Apr 2025 | Official leaderboard | |
| 127 | tiiuae/Falcon3-10B-Base | 44.1% | base model | Feb 2025 | Official leaderboard |
| 128 | FreedomIntelligence AceGPT-v1.5-13B | 44% | Jan 2025 | Official leaderboard | |
| 129 | | 42.9% | Sep 2024 | Official leaderboard | |
| 130 | inceptionai/jais-family-13b | 42.9% | Jan 2025 | Official leaderboard | |
| 131 | Qwen/Qwen1.5-4B | 42.4% | base model | Jan 2025 | Official leaderboard |
| 132 | | 42.3% | Dec 2024 | Official leaderboard | |
| 133 | inceptionai/jais-adapted-13b | 40.6% | Jan 2025 | Official leaderboard | |
| 134 | | 40.6% | Jun 2024 | Official leaderboard | |
| 135 | | 40.4% | Sep 2024 | Official leaderboard | |
| 136 | tiiuae/Falcon3-7B-Base | 37.9% | base model | Feb 2025 | Official leaderboard |
| 137 | Naseej noon-7b | 36.7% | Mar 2025 | Official leaderboard | |
| 138 | qwen3-4b-instruct-2507 | 36.5% | Aug 2025 | Official leaderboard | |
| 139 | FreedomIntelligence AceGPT-7B | 36.4% | Jan 2025 | Official leaderboard | |
| 140 | | 34.1% | Jul 2024 | Official leaderboard | |
| 141 | silma-ai SILMA-9B-Instruct-v1.0 | 34% | Jan 2025 | Official leaderboard | |
| 142 | | 33.9% | base model | Sep 2024 | Official leaderboard |
| 143 | mobiuslabsgmbh DeepSeek-R1-ReDistill-Llama3-8B-v1.1 | 33.5% | Feb 2025 | Official leaderboard | |
| 144 | stabilityai ar-stablelm-2-base | 33.1% | Jun 2025 | Official leaderboard | |
| 145 | inceptionai/jais-adapted-7b | 32.9% | Jan 2025 | Official leaderboard | |
| 146 | TIGER-Lab Qwen2.5-Math-7B-CFT | 32.8% | Mar 2025 | Official leaderboard | |
| 147 | Qwen/Qwen1.5-1.8B | 32.7% | base model | Jan 2025 | Official leaderboard |
| 148 | mobiuslabsgmbh DeepSeek-R1-ReDistill-Qwen-7B-v1.1 | 32.7% | Feb 2025 | Official leaderboard | |
| 149 | | 32.6% | Jan 2025 | Official leaderboard | |
| 150 | riotu-lab ArabianGPT-01B | 32.5% | Oct 2025 | Official leaderboard | |
| 151 | | 31.3% | 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 Dec 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
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 | | 72.4 | ALGhafa, native Arabic subsets (Table 6) | Capabilities |
More in Multilingual
- MMMLU In use MMLU professionally translated into 14 languages. Multiple-choice accuracy. Claude Mythos Preview 92.7%
- WMT24++ In use English-to-55-language translation of WMT24 test data. Scored with automatic metrics such as MetricX or xCOMET.
K-EXAONE 90.5%
- MMLU-ProX In use MMLU-Pro translated into up to 29 languages with expert review. Multiple-choice accuracy per language.
Qwen3.7-Max 87%
- CLIcK In use Models answer 1,995 multiple-choice questions on Korean language and culture. Questions come from official Korean exams and textbooks in eleven categories.
Solar Open 2 90.7%
- Global MMLU Lite 3.0 In use Models answer 400 human-translated MMLU questions per language in 23 languages. Version 3.0 adds Czech, Hungarian, Oriya, Slovak and Tajik and updates Italian. Accuracy.
Inkling 88.7%
- MMMB In use Models answer multiple-choice questions about images in six languages across 15 categories. The set has about 12,000 questions. LFM2.5-VL-3B 83%