HELM Arabic Enterprise
Models do Arabic enterprise tasks in six parts. They write corporate articles, answer finance questions in three formats, and answer legal questions written by Arabic legal experts with and without the statute.
Release v1.0.0 came on 2026-05-26 and v1.1.0 on 2026-06-25 with 35 models. Finance questions are machine translated from English textbooks. A model judges the article and legal tasks.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
llm-x tops the leaderboard with 82.6
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. 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 Claude Opus 4.7, at 77.9.
The newest model with a score here came out in Apr 2026, 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
- 82.6 llm-x
- 82.5 llm-x-2026-06-07
- 77.9 Claude Opus 4.7
- 76.7 GPT-5.4
- 73.8
Gemma 4 31B IT
- 73.7 Claude Sonnet 4.6
- 73.1 GPT-5.1
- 72.8
DeepSeek-V4-Pro
- 72.4 llm-s
- 70.2 GPT-5.4 Mini
- 69.6
Qwen3-235B-A22B-Instruct
- 68.2
Gemini 2.5 Flash
- 66.0
Mistral Large 3
- 65.9
DeepSeek-V3.1
- 65.3
Qwen3.5 397B-A17B
- 64.8
Llama 4 Maverick
- 63.6 Claude Haiku 4.5
- 63.2 GPT-5.4 Nano
- 62.6
Gemini 2.5 Flash-Lite
- 62.4
Qwen3.5-9B
- 62.1
Llama 4 Scout
- 62.0
Mistral Large 2
- 61.5
Llama 3.3 70B Instruct
- 58.0
Cohere Command A
- 53.3 allam-7b-instruct-preview
- 51.6 jais-adapted-70b-chat
- 46.9 acegpt-v2-70b-chat
- 46.9 jais-adapted-13b-chat
- 45.5 acegpt-v2-32b-chat
- 45.3 jais-family-30b-16k-chat
- 42.3 jais-adapted-7b-chat
- 40.6 acegpt-v2-8b-chat
- 39.7 silma-9b-instruct-v1.0
- 30.4
Falcon3-7B-Instruct
- 28.6
Falcon3-10B-Instruct
- 1 llm-x 82.6
- 2 llm-x-2026-06-07 82.5
- 3 Claude Opus 4.7 77.9
- 4 GPT-5.4 76.7
- 5
Gemma 4 31B IT thinking disabled 73.8
- 6 Claude Sonnet 4.6 73.7
- 7 GPT-5.1 73.1
- 8
DeepSeek-V4-Pro thinking disabled 72.8
- 9 llm-s 72.4
- 10 GPT-5.4 Mini 70.2
- 11
Qwen3-235B-A22B-Instruct Jul 2025 69.6
- 12
Gemini 2.5 Flash Sep 2025, thinking disabled 68.2
- 13
Mistral Large 3 66.0
- 14
DeepSeek-V3.1 65.9
- 15
Qwen3.5 397B-A17B thinking disabled 65.3
- 16
Llama 4 Maverick 64.8
- 17 Claude Haiku 4.5 63.6
- 18 GPT-5.4 Nano 63.2
- 19
Gemini 2.5 Flash-Lite Sep 2025, thinking disabled 62.6
- 20
Qwen3.5-9B thinking disabled 62.4
- 21
Llama 4 Scout 62.1
- 22
Mistral Large 2 Nov 2024 62.0
- 23
Llama 3.3 70B Instruct 61.5
- 24
Cohere Command A 58.0
- 25 allam-7b-instruct-preview 53.3
- 26 jais-adapted-70b-chat 51.6
- 27 acegpt-v2-70b-chat 46.9
- 28 jais-adapted-13b-chat 46.9
- 29 acegpt-v2-32b-chat 45.5
- 30 jais-family-30b-16k-chat 45.3
- 31 jais-adapted-7b-chat 42.3
- 32 acegpt-v2-8b-chat 40.6
- 33 silma-9b-instruct-v1.0 39.7
- 34
Falcon3-7B-Instruct 30.4
- 35
Falcon3-10B-Instruct 28.6
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | llm-x | 82.6 | Official leaderboard | ||
| 2 | llm-x-2026-06-07 | 82.5 | Jun 2026 | Official leaderboard | |
| 3 | Claude Opus 4.7 | 77.9 | Apr 2026 | Official leaderboard | |
| 4 | GPT-5.4 | 76.7 | Mar 2026 | Official leaderboard | |
| 5 | | 73.8 | thinking disabled | Apr 2026 | Official leaderboard |
| 6 | Claude Sonnet 4.6 | 73.7 | Feb 2026 | Official leaderboard | |
| 7 | GPT-5.1 | 73.1 | Nov 2025 | Official leaderboard | |
| 8 | | 72.8 | thinking disabled | Apr 2026 | Official leaderboard |
| 9 | llm-s | 72.4 | Official leaderboard | ||
| 10 | GPT-5.4 Mini | 70.2 | Mar 2026 | Official leaderboard | |
| 11 | | 69.6 | Jul 2025 | Official leaderboard | |
| 12 | | 68.2 | thinking disabled | Sep 2025 | Official leaderboard |
| 13 | | 66.0 | Dec 2025 | Official leaderboard | |
| 14 | | 65.9 | Aug 2025 | Official leaderboard | |
| 15 | | 65.3 | thinking disabled | Feb 2026 | Official leaderboard |
| 16 | | 64.8 | Apr 2025 | Official leaderboard | |
| 17 | Claude Haiku 4.5 | 63.6 | Oct 2025 | Official leaderboard | |
| 18 | GPT-5.4 Nano | 63.2 | Mar 2026 | Official leaderboard | |
| 19 | | 62.6 | thinking disabled | Sep 2025 | Official leaderboard |
| 20 | | 62.4 | thinking disabled | Feb 2026 | Official leaderboard |
| 21 | | 62.1 | Apr 2025 | Official leaderboard | |
| 22 | | 62.0 | Nov 2024 | Official leaderboard | |
| 23 | | 61.5 | Dec 2024 | Official leaderboard | |
| 24 | | 58.0 | Mar 2025 | Official leaderboard | |
| 25 | allam-7b-instruct-preview | 53.3 | Official leaderboard | ||
| 26 | jais-adapted-70b-chat | 51.6 | Official leaderboard | ||
| 27 | acegpt-v2-70b-chat | 46.9 | Official leaderboard | ||
| 28 | jais-adapted-13b-chat | 46.9 | Official leaderboard | ||
| 29 | acegpt-v2-32b-chat | 45.5 | Official leaderboard | ||
| 30 | jais-family-30b-16k-chat | 45.3 | Official leaderboard | ||
| 31 | jais-adapted-7b-chat | 42.3 | Official leaderboard | ||
| 32 | acegpt-v2-8b-chat | 40.6 | Official leaderboard | ||
| 33 | silma-9b-instruct-v1.0 | 39.7 | Official leaderboard | ||
| 34 | | 30.4 | Dec 2024 | Official leaderboard | |
| 35 | | 28.6 | Dec 2024 | Official leaderboard |
Number one over time
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.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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