Alyah
Models answer 1,173 four-option questions written by native Emirati speakers on greetings, idioms, figurative language, heritage and poetry in Emirati Arabic dialect.
The release post evaluates 54 models (23 base, 31 instruction-tuned). LLMs generated the distractors and humans reviewed them. TII refers to an Alyah leaderboard.
- Released
- January 2026
- Kind
- Knowledge in many languages
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- All public
- Strongest model tested
-
Qwen3-14B #138 on the capability index
- Last in a launch post
- October 2026
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
falcon-h1-arabic-7b-instruct tops the leaderboard with 82.2%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. 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 Gemma 3 27B, at 74.7%.
Falcon-Emirati-7B leads with 84.8%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
The newest model with a score here came out in May 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 82.2 falcon-h1-arabic-7b-instruct
- 77.2 humain-ai/ALLaM-7B-Instruct-preview
- 74.7 google/gemma-3-27b-pt (base)
- 74.7
Gemma 3 27B
- 74.6
Qwen2.5-72B
- 74.5 falcon-h1-arabic-3b-instruct
- 73.7 tiiuae/Falcon-H1-34B-Base (base)
- 73.7
Aya Expanse 32B
- 73.3 Navid-AI/Yehia-7B-preview
- 72.8 FreedomIntelligence/AceGPT-v2-32B-Chat
- 71.6 Qwen/Qwen2.5-32B-Instruct
- 71.1
Falcon-H1-34B
- 69.7
Llama 3.3 70B Instruct
- 69.2 QCRI/Fanar-1-9B-Instruct
- 67.3 FreedomIntelligence/AceGPT-v2-32B (base)
- 65.1 tiiuae/Falcon-H1-7B-Instruct
- 64.5 CohereForAI/c4ai-command-r7b-arabic-02-2025
- 63.9 silma-ai/SILMA-9B-Instruct-v1.0
- 63.4 FreedomIntelligence/AceGPT-v2-8B-Chat
- 63.2 google/gemma-3-4b-pt (base)
- 62.8 QCRI/Fanar-1-9B (base)
- 61.2
Aya Expanse 8B
- 61.1 yasserrmd/kallamni-2.6b-v1
- 60.8 tiiuae/Falcon-H1-7B-Base (base)
- 60.7 yasserrmd/kallamni-4b-v1
- 58.6 microsoft/Phi-4-mini-instruct
- 58.2 meta-llama/Llama-3.1-8B (base)
- 57.3 Qwen/Qwen3-14B-Base (base)
- 57.1 tiiuae/Falcon-H1-3B-Instruct
- 56.0 inceptionai/jais-adapted-13b (base)
- 53.0 Qwen/Qwen2.5-32B (base)
- 50.8 FreedomIntelligence/AceGPT-13B (base)
- 48.5 silma-ai/SILMA-Kashif-2B-Instruct-v1.0
- 47.9 Qwen/Qwen2.5-72B (base)
- 46.8 Qwen/Qwen2.5-14B (base)
- 46.3 meta-llama/Llama-3.1-8B-Instruct
- 46.1 google/gemma-3-4b-it
- 45.4 Qwen/Qwen2.5-7B-Instruct
- 41.9 google/gemma-2-2b (base)
- 41.4 tiiuae/Falcon3-7B-Base (base)
- 40.8 Qwen/Qwen3-8B-Base (base)
- 40.4 tiiuae/Falcon-H1-3B-Base (base)
- 39.6 meta-llama/Llama-3.2-3B-Instruct
- 37.8 yasserrmd/kallamni-1.2b-v1
- 36.6 Qwen/Qwen2.5-7B (base)
- 35.3 Qwen/Qwen2.5-3B (base)
- 35.1 meta-llama/Llama-3.2-3B (base)
- 33.5 inceptionai/jais-adapted-7b (base)
- 27.4 Qwen/Qwen3-4B-Base (base)
- 26.3
Qwen3-4B
- 26.0
Gemma 2 2B IT
- 26.0
Qwen3-14B
- 25.7
Qwen3-8B
- 1 falcon-h1-arabic-7b-instruct 82.2%
- 2 humain-ai/ALLaM-7B-Instruct-preview 77.2%
- 3 google/gemma-3-27b-pt (base) 74.7%
- 4
Gemma 3 27B 74.7%
- 5
Qwen2.5-72B 74.6%
- 6 falcon-h1-arabic-3b-instruct 74.5%
- 7 tiiuae/Falcon-H1-34B-Base (base) 73.7%
- 8
Aya Expanse 32B 73.7%
- 9 Navid-AI/Yehia-7B-preview 73.3%
- 10 FreedomIntelligence/AceGPT-v2-32B-Chat 72.8%
- 11 Qwen/Qwen2.5-32B-Instruct 71.6%
- 12
Falcon-H1-34B 71.1%
- 13
Llama 3.3 70B Instruct 69.7%
- 14 QCRI/Fanar-1-9B-Instruct 69.2%
- 15 FreedomIntelligence/AceGPT-v2-32B (base) 67.3%
- 16 tiiuae/Falcon-H1-7B-Instruct 65.1%
- 17 CohereForAI/c4ai-command-r7b-arabic-02-2025 64.5%
- 18 silma-ai/SILMA-9B-Instruct-v1.0 63.9%
- 19 FreedomIntelligence/AceGPT-v2-8B-Chat 63.4%
- 20 google/gemma-3-4b-pt (base) 63.2%
- 21 QCRI/Fanar-1-9B (base) 62.8%
- 22
Aya Expanse 8B 61.2%
- 23 yasserrmd/kallamni-2.6b-v1 61.1%
- 24 tiiuae/Falcon-H1-7B-Base (base) 60.8%
- 25 yasserrmd/kallamni-4b-v1 60.7%
- 26 microsoft/Phi-4-mini-instruct 58.6%
- 27 meta-llama/Llama-3.1-8B (base) 58.2%
- 28 Qwen/Qwen3-14B-Base (base) 57.3%
- 29 tiiuae/Falcon-H1-3B-Instruct 57.1%
- 30 inceptionai/jais-adapted-13b (base) 56%
- 31 Qwen/Qwen2.5-32B (base) 53%
- 32 FreedomIntelligence/AceGPT-13B (base) 50.8%
- 33 silma-ai/SILMA-Kashif-2B-Instruct-v1.0 48.5%
- 34 Qwen/Qwen2.5-72B (base) 47.9%
- 35 Qwen/Qwen2.5-14B (base) 46.8%
- 36 meta-llama/Llama-3.1-8B-Instruct 46.3%
- 37 google/gemma-3-4b-it 46.1%
- 38 Qwen/Qwen2.5-7B-Instruct 45.4%
- 39 google/gemma-2-2b (base) 41.9%
- 40 tiiuae/Falcon3-7B-Base (base) 41.4%
- 41 Qwen/Qwen3-8B-Base (base) 40.8%
- 42 tiiuae/Falcon-H1-3B-Base (base) 40.4%
- 43 meta-llama/Llama-3.2-3B-Instruct 39.6%
- 44 yasserrmd/kallamni-1.2b-v1 37.8%
- 45 Qwen/Qwen2.5-7B (base) 36.6%
- 46 Qwen/Qwen2.5-3B (base) 35.3%
- 47 meta-llama/Llama-3.2-3B (base) 35.1%
- 48 inceptionai/jais-adapted-7b (base) 33.5%
- 49 Qwen/Qwen3-4B-Base (base) 27.4%
- 50
Qwen3-4B 26.3%
- 51
Gemma 2 2B IT 26%
- 52
Qwen3-14B 26%
- 53
Qwen3-8B 25.7%
Source: Official Alyah leaderboard
- 1
Falcon-Emirati-7B 84.8%
- 2
Gemma 3 27B 74.7%
- 3
Qwen2.5-72B 74.6%
- 4
Aya Expanse 32B 73.7%
- 5
Falcon-H1-34B 71.1%
- 6
Llama 3.3 70B Instruct 69.7%
- 7
Aya Expanse 8B 61.2%
- 8
Qwen3-4B 26.3%
- 9
Gemma 2 2B IT 26%
- 10
Qwen3-14B 26%
- 11
Qwen3-8B 25.7%
Sources: Labs’ model cards and official Alyah leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | falcon-h1-arabic-7b-instruct | 82.2% | Official leaderboard | ||
| 2 | humain-ai/ALLaM-7B-Instruct-preview | 77.2% | Official leaderboard | ||
| 3 | google/gemma-3-27b-pt (base) | 74.7% | Official leaderboard | ||
| 4 | | 74.7% | Mar 2025 | Official leaderboard | |
| 5 | | 74.6% | Sep 2024 | Official leaderboard | |
| 6 | falcon-h1-arabic-3b-instruct | 74.5% | Official leaderboard | ||
| 7 | tiiuae/Falcon-H1-34B-Base (base) | 73.7% | Official leaderboard | ||
| 8 | | 73.7% | Oct 2024 | Official leaderboard | |
| 9 | Navid-AI/Yehia-7B-preview | 73.3% | Official leaderboard | ||
| 10 | FreedomIntelligence/AceGPT-v2-32B-Chat | 72.8% | Official leaderboard | ||
| 11 | Qwen/Qwen2.5-32B-Instruct | 71.6% | Official leaderboard | ||
| 12 | | 71.1% | May 2025 | Official leaderboard | |
| 13 | | 69.7% | Dec 2024 | Official leaderboard | |
| 14 | QCRI/Fanar-1-9B-Instruct | 69.2% | Official leaderboard | ||
| 15 | FreedomIntelligence/AceGPT-v2-32B (base) | 67.3% | Official leaderboard | ||
| 16 | tiiuae/Falcon-H1-7B-Instruct | 65.1% | Official leaderboard | ||
| 17 | CohereForAI/c4ai-command-r7b-arabic-02-2025 | 64.5% | Official leaderboard | ||
| 18 | silma-ai/SILMA-9B-Instruct-v1.0 | 63.9% | Official leaderboard | ||
| 19 | FreedomIntelligence/AceGPT-v2-8B-Chat | 63.4% | Official leaderboard | ||
| 20 | google/gemma-3-4b-pt (base) | 63.2% | Official leaderboard | ||
| 21 | QCRI/Fanar-1-9B (base) | 62.8% | Official leaderboard | ||
| 22 | | 61.2% | Oct 2024 | Official leaderboard | |
| 23 | yasserrmd/kallamni-2.6b-v1 | 61.1% | Official leaderboard | ||
| 24 | tiiuae/Falcon-H1-7B-Base (base) | 60.8% | Official leaderboard | ||
| 25 | yasserrmd/kallamni-4b-v1 | 60.7% | Official leaderboard | ||
| 26 | microsoft/Phi-4-mini-instruct | 58.6% | Official leaderboard | ||
| 27 | meta-llama/Llama-3.1-8B (base) | 58.2% | Official leaderboard | ||
| 28 | Qwen/Qwen3-14B-Base (base) | 57.3% | Official leaderboard | ||
| 29 | tiiuae/Falcon-H1-3B-Instruct | 57.1% | Official leaderboard | ||
| 30 | inceptionai/jais-adapted-13b (base) | 56% | Official leaderboard | ||
| 31 | Qwen/Qwen2.5-32B (base) | 53% | Official leaderboard | ||
| 32 | FreedomIntelligence/AceGPT-13B (base) | 50.8% | Official leaderboard | ||
| 33 | silma-ai/SILMA-Kashif-2B-Instruct-v1.0 | 48.5% | Official leaderboard | ||
| 34 | Qwen/Qwen2.5-72B (base) | 47.9% | Official leaderboard | ||
| 35 | Qwen/Qwen2.5-14B (base) | 46.8% | Official leaderboard | ||
| 36 | meta-llama/Llama-3.1-8B-Instruct | 46.3% | Official leaderboard | ||
| 37 | google/gemma-3-4b-it | 46.1% | Official leaderboard | ||
| 38 | Qwen/Qwen2.5-7B-Instruct | 45.4% | Official leaderboard | ||
| 39 | google/gemma-2-2b (base) | 41.9% | Official leaderboard | ||
| 40 | tiiuae/Falcon3-7B-Base (base) | 41.4% | Official leaderboard | ||
| 41 | Qwen/Qwen3-8B-Base (base) | 40.8% | Official leaderboard | ||
| 42 | tiiuae/Falcon-H1-3B-Base (base) | 40.4% | Official leaderboard | ||
| 43 | meta-llama/Llama-3.2-3B-Instruct | 39.6% | Official leaderboard | ||
| 44 | yasserrmd/kallamni-1.2b-v1 | 37.8% | Official leaderboard | ||
| 45 | Qwen/Qwen2.5-7B (base) | 36.6% | Official leaderboard | ||
| 46 | Qwen/Qwen2.5-3B (base) | 35.3% | Official leaderboard | ||
| 47 | meta-llama/Llama-3.2-3B (base) | 35.1% | Official leaderboard | ||
| 48 | inceptionai/jais-adapted-7b (base) | 33.5% | Official leaderboard | ||
| 49 | Qwen/Qwen3-4B-Base (base) | 27.4% | Official leaderboard | ||
| 50 | | 26.3% | Apr 2025 | Official leaderboard | |
| 51 | | 26% | Jul 2024 | Official leaderboard | |
| 52 | | 26% | Apr 2025 | Official leaderboard | |
| 53 | | 25.7% | Apr 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 84.8% | Oct 2026 | Lab model card | |
| 2 | | 74.7% | Mar 2025 | Official leaderboard | |
| 3 | | 74.6% | Sep 2024 | Official leaderboard | |
| 4 | | 73.7% | Oct 2024 | Official leaderboard | |
| 5 | | 71.1% | May 2025 | Official leaderboard | |
| 6 | | 69.7% | Dec 2024 | Official leaderboard | |
| 7 | | 61.2% | Oct 2024 | Official leaderboard | |
| 8 | | 26.3% | Apr 2025 | Official leaderboard | |
| 9 | | 26% | Jul 2024 | Official leaderboard | |
| 10 | | 26% | Apr 2025 | Official leaderboard | |
| 11 | | 25.7% | Apr 2025 | Official leaderboard |
Labs report scores for 1 model in their cards. Switch the scores above to rank them together.
Number one over time 2 models have held number one with claims included since its release in January 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Alyah leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official Alyah leaderboard and labs’ model cards
One lab put it in a launch post in the last six months
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 |
|---|---|---|---|
| Oct 6, 2026 | 84.8 | Alyah accuracy (%) |
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